{
  "aboutHtml": "<p>GPT-4o Transcribe Diarize — OpenAI kompaniyasining so‘zlovchilarni ajratish imkoniyati ichki tarzda mavjud bo‘lgan avtomatik nutqni tanish modeli. U suhbatdagi transkripsiya qilingan audio segmentlarini turli so‘zlovchilar bilan bog‘laydi. Foydali natija — faqat uzluksiz so‘zlar bloki emas, so‘zlovchi va vaqt bo‘yicha tartiblangan transkript. U yig‘ilish, intervyu yoki ko‘p kishili muhokama kabi so‘zlovchi yorliqlari kerak bo‘lgan yozib olingan nutq uchun mo‘ljallangan.</p><h4>Tugallangan yozuvni tayyorlang</h4><p>Transkripsiya qilinishi kerak bo‘lgan yozuvni bering. Hujjatlashtirilgan fayl jarayoni MP3, MP4, MPEG, MPGA, M4A, WAV va WebM ni qabul qiladi; fayl hajmi 25 MB bilan cheklangan. So‘zlovchining gapirish navbati, ism yoki noaniq iborani haqiqiy audio bilan tekshirish uchun manba yozuvni saqlang.</p><p>Yig‘ilishda gapirish navbatlarini ajratishga yordam beradigan qisqa pauzalarni kesib tashlamasdan, suhbat ketma-ketligini saqlang. Intervyuda vazifa savol va javob o‘rtasidagi bog‘lanishni talab qilsa, ularni birga qoldiring. Audioni tayyorlash nutqni eshitiladigan qilishi, lekin so‘zlovchilar belgilangan natija uchun muhim ma’lumotlarni olib tashlamasligi kerak.</p><p>Bu fayldan transkripsiya qilish jarayonidir. Tugallangan yozuvni qayta ishlash va hali kelayotgan audio oqimini tanish turli vazifalar; modelning so‘zlovchini belgilash imkoniyati Realtime transkripsiya sessiyalarida qo‘llanmaydi.</p><h4>So‘zlovchilar belgilangan transkriptni so‘rang</h4><p><code>diarized_json</code> natija formati so‘zlovchini belgilovchi yorliqlar hamda boshlanish va tugash vaqti mavjud segmentlarni qaytaradi. Har bir segmentda uning transkripsiya qilingan matni ham bor. So‘zlarni yozuvning tegishli qismi bilan bog‘lash uchun bu maydonlarni birga saqlang.</p><p>Foydali yig‘ilish transkriptida segmentlar ketma-ketligini saqlang va har bir so‘zlovchining gaplarini vaqti bilan ko‘rsating. Keyingi vazifa shu transkript asosida bayonnoma yoki bajariladigan ishlar ro‘yxatini tayyorlashi mumkin, ammo so‘zlovchilarni ajratishning o‘zi yig‘ilishda nima kelishilganini hal qilmaydi va tekshirilgan qisqacha bayon yaratmaydi.</p><p>So‘zlovchi yorliqlari modelning nutqni guruhlashini ifodalaydi. Odamlar bir-birining gapini bo‘lganda, qisqa gapirganda yoki bir vaqtda gapirganda o‘tishlarni tekshiring. Yaxshi tuzilgan natija yozuv bo‘ylab yurish va tekshirishga yordam beradi, ammo muayyan gapni bir so‘zlovchiga nisbat berishni baribir asl audioni tinglab tekshirish kerak bo‘lishi mumkin.</p><h4>Ma’lum so‘zlovchilar uchun ovoz namunalari</h4><p>Hujjatlashtirilgan jarayon nomi ko‘rsatilgan to‘rttagacha so‘zlovchi namunasini qabul qilishi mumkin. Har bir namuna asosiy yuklashda qo‘llanadigan formatdagi 2–10 soniyalik qisqa audio parchadir. Segmentlarni ma’lum so‘zlovchilar bilan bog‘lash uchun ismlar va namunalar birga beriladi.</p><p>Kerakli so‘zlovchi aniq eshitiladigan namunani tayyorlang va uning ismini transkriptdagi mo‘ljallangan yorliqlar bilan izchil qo‘llang. Intervyuda boshlovchining namunasi barcha ishtirokchilarni anonim yorliqqa aylantirmasdan, so‘zlovchilar belgilangan natijani tartibga solishga yordam berishi mumkin. Namuna gapni so‘zlovchiga nisbat berish uchun kirish ma’lumotidir; u umumiy ovoz klonlash operatsiyasi yoki shaxs kimligining isboti emas.</p><p>So‘zlovchini nomlashni aytilgan so‘zlarni tahrirlash bilan aralashtirmang. Foydali chiqish yozuv mazmunini va haqiqiy gapirish navbatlari tartibini saqlashi kerak.</p><h4>Bo‘laklash va model chegaralari</h4><p>30 soniyadan uzun audio uchun ishlab chiqaruvchi bo‘laklash strategiyasini talab qiladi: avtomatik bo‘laklash yoki ovoz faolligini aniqlash konfiguratsiyasi. Bu talab yozuvning eng katta davomiyligi emas. U uzunroq kirish ma’lumoti qayta ishlash uchun qanday bo‘linishini ifodalaydi.</p><p>Model kartasida 16,000 tokenli kontekst oynasi va ko‘pi bilan 2,000 chiqish tokeni ko‘rsatilgan. Bular fayl jarayonidagi 25 MB yuklash chegarasi va bo‘laklash chegaraviy nuqtasidan alohida model token limitlaridir. Ularni har bir yozuvga birdek qo‘llanadigan, o‘ylab topilgan daqiqalar soniga aylantirmaslik kerak.</p><p>Uzunroq transkriptni yig‘ish yoki tekshirishda vaqt ko‘rsatkichlari va segment identifikatsiyasini saqlang. Yozuv yuborilishidan oldin bo‘lingan bo‘lsa, mahalliy vaqt belgisi butun suhbatdagi o‘rni bilan chalkashmasligi uchun har bir qismning asl audio bilan bog‘lanishini saqlang.</p><h4>Yakunlangan segmentlarni oqimli uzatish</h4><p>Fayldan transkripsiya qilish jarayoni yozuv qayta ishlanayotganda matnni oqimli uzatishi mumkin. So‘zlovchilar belgilangan oqimda yakunlangan segmentlar segment hodisalarini hosil qiladi. Matnning qo‘shimcha qismlarida segment identifikatori bo‘ladi, ammo qisman tayyor so‘zlovchi tayinlovlari bo‘lmaydi; so‘zlovchi segment yakunlanganda tayinlanadi.</p><p>Bu farq natijani ko‘rsatishda muhim. Model segmentni tugatmasidan oldin noaniq so‘zlovchi yorlig‘ini biriktirmasdan, dastlabki matn va yakunlangan so‘zlovchi navbatini turli holatlar sifatida ko‘rsating. Transkript keyingi tahrir yoki tahlil uchun kerak bo‘lsa, tugallangan natijani saqlang.</p><h4>Model va chiqish chegaralari</h4><p>Bu profil so‘zlovchilarni ajratish modeli bo‘lib, odatiy GPT-4o transkripsiyasi, Mini transkripsiyasi, nutq sintezi va jonli suhbat modellaridan farq qiladi. U transkripsiya promptlarini qo‘llamaydi; terminlarni ko‘rib chiqish yoki tuzatishni asl audio bilan tekshiriladigan alohida bosqich sifatida bajaring. Ishlab chiqaruvchi interfeysi yozib olingan audioni matnga transkripsiya qiladi. U audio javob yaratmaydi va yozuvni alohida audio tarjima jarayoni orqali tarjima qilmaydi.</p><p>Modeldan mazmun ham, so‘zlovchilar tuzilishi ham kerak bo‘lgan transkriptlar uchun foydalaning. Ismlar, texnik terminlar, sonlar, gapirish navbatlari chegaralari va so‘zlovchiga nisbat berishlarni yozuv bilan tekshiring. Tuzatish bitta aniq ibora yoki so‘zlovchi tayinloviga qaratilishi uchun audio, tanlangan natija formati, namunalar va tugallangan transkriptni saqlang.</p>",
  "aboutText": "GPT-4o Transcribe Diarize — OpenAI kompaniyasining so‘zlovchilarni ajratish imkoniyati ichki tarzda mavjud bo‘lgan avtomatik nutqni tanish modeli. U suhbatdagi transkripsiya qilingan audio segmentlarini turli so‘zlovchilar bilan bog‘laydi. Foydali natija — faqat uzluksiz so‘zlar bloki emas, so‘zlovchi va vaqt bo‘yicha tartiblangan transkript. U yig‘ilish, intervyu yoki ko‘p kishili muhokama kabi so‘zlovchi yorliqlari kerak bo‘lgan yozib olingan nutq uchun mo‘ljallangan.\n\n### Tugallangan yozuvni tayyorlang\n\nTranskripsiya qilinishi kerak bo‘lgan yozuvni bering. Hujjatlashtirilgan fayl jarayoni MP3, MP4, MPEG, MPGA, M4A, WAV va WebM ni qabul qiladi; fayl hajmi 25 MB bilan cheklangan. So‘zlovchining gapirish navbati, ism yoki noaniq iborani haqiqiy audio bilan tekshirish uchun manba yozuvni saqlang.\n\nYig‘ilishda gapirish navbatlarini ajratishga yordam beradigan qisqa pauzalarni kesib tashlamasdan, suhbat ketma-ketligini saqlang. Intervyuda vazifa savol va javob o‘rtasidagi bog‘lanishni talab qilsa, ularni birga qoldiring. Audioni tayyorlash nutqni eshitiladigan qilishi, lekin so‘zlovchilar belgilangan natija uchun muhim ma’lumotlarni olib tashlamasligi kerak.\n\nBu fayldan transkripsiya qilish jarayonidir. Tugallangan yozuvni qayta ishlash va hali kelayotgan audio oqimini tanish turli vazifalar; modelning so‘zlovchini belgilash imkoniyati Realtime transkripsiya sessiyalarida qo‘llanmaydi.\n\n### So‘zlovchilar belgilangan transkriptni so‘rang\n\n`diarized_json` natija formati so‘zlovchini belgilovchi yorliqlar hamda boshlanish va tugash vaqti mavjud segmentlarni qaytaradi. Har bir segmentda uning transkripsiya qilingan matni ham bor. So‘zlarni yozuvning tegishli qismi bilan bog‘lash uchun bu maydonlarni birga saqlang.\n\nFoydali yig‘ilish transkriptida segmentlar ketma-ketligini saqlang va har bir so‘zlovchining gaplarini vaqti bilan ko‘rsating. Keyingi vazifa shu transkript asosida bayonnoma yoki bajariladigan ishlar ro‘yxatini tayyorlashi mumkin, ammo so‘zlovchilarni ajratishning o‘zi yig‘ilishda nima kelishilganini hal qilmaydi va tekshirilgan qisqacha bayon yaratmaydi.\n\nSo‘zlovchi yorliqlari modelning nutqni guruhlashini ifodalaydi. Odamlar bir-birining gapini bo‘lganda, qisqa gapirganda yoki bir vaqtda gapirganda o‘tishlarni tekshiring. Yaxshi tuzilgan natija yozuv bo‘ylab yurish va tekshirishga yordam beradi, ammo muayyan gapni bir so‘zlovchiga nisbat berishni baribir asl audioni tinglab tekshirish kerak bo‘lishi mumkin.\n\n### Ma’lum so‘zlovchilar uchun ovoz namunalari\n\nHujjatlashtirilgan jarayon nomi ko‘rsatilgan to‘rttagacha so‘zlovchi namunasini qabul qilishi mumkin. Har bir namuna asosiy yuklashda qo‘llanadigan formatdagi 2–10 soniyalik qisqa audio parchadir. Segmentlarni ma’lum so‘zlovchilar bilan bog‘lash uchun ismlar va namunalar birga beriladi.\n\nKerakli so‘zlovchi aniq eshitiladigan namunani tayyorlang va uning ismini transkriptdagi mo‘ljallangan yorliqlar bilan izchil qo‘llang. Intervyuda boshlovchining namunasi barcha ishtirokchilarni anonim yorliqqa aylantirmasdan, so‘zlovchilar belgilangan natijani tartibga solishga yordam berishi mumkin. Namuna gapni so‘zlovchiga nisbat berish uchun kirish ma’lumotidir; u umumiy ovoz klonlash operatsiyasi yoki shaxs kimligining isboti emas.\n\nSo‘zlovchini nomlashni aytilgan so‘zlarni tahrirlash bilan aralashtirmang. Foydali chiqish yozuv mazmunini va haqiqiy gapirish navbatlari tartibini saqlashi kerak.\n\n### Bo‘laklash va model chegaralari\n\n30 soniyadan uzun audio uchun ishlab chiqaruvchi bo‘laklash strategiyasini talab qiladi: avtomatik bo‘laklash yoki ovoz faolligini aniqlash konfiguratsiyasi. Bu talab yozuvning eng katta davomiyligi emas. U uzunroq kirish ma’lumoti qayta ishlash uchun qanday bo‘linishini ifodalaydi.\n\nModel kartasida 16,000 tokenli kontekst oynasi va ko‘pi bilan 2,000 chiqish tokeni ko‘rsatilgan. Bular fayl jarayonidagi 25 MB yuklash chegarasi va bo‘laklash chegaraviy nuqtasidan alohida model token limitlaridir. Ularni har bir yozuvga birdek qo‘llanadigan, o‘ylab topilgan daqiqalar soniga aylantirmaslik kerak.\n\nUzunroq transkriptni yig‘ish yoki tekshirishda vaqt ko‘rsatkichlari va segment identifikatsiyasini saqlang. Yozuv yuborilishidan oldin bo‘lingan bo‘lsa, mahalliy vaqt belgisi butun suhbatdagi o‘rni bilan chalkashmasligi uchun har bir qismning asl audio bilan bog‘lanishini saqlang.\n\n### Yakunlangan segmentlarni oqimli uzatish\n\nFayldan transkripsiya qilish jarayoni yozuv qayta ishlanayotganda matnni oqimli uzatishi mumkin. So‘zlovchilar belgilangan oqimda yakunlangan segmentlar segment hodisalarini hosil qiladi. Matnning qo‘shimcha qismlarida segment identifikatori bo‘ladi, ammo qisman tayyor so‘zlovchi tayinlovlari bo‘lmaydi; so‘zlovchi segment yakunlanganda tayinlanadi.\n\nBu farq natijani ko‘rsatishda muhim. Model segmentni tugatmasidan oldin noaniq so‘zlovchi yorlig‘ini biriktirmasdan, dastlabki matn va yakunlangan so‘zlovchi navbatini turli holatlar sifatida ko‘rsating. Transkript keyingi tahrir yoki tahlil uchun kerak bo‘lsa, tugallangan natijani saqlang.\n\n### Model va chiqish chegaralari\n\nBu profil so‘zlovchilarni ajratish modeli bo‘lib, odatiy GPT-4o transkripsiyasi, Mini transkripsiyasi, nutq sintezi va jonli suhbat modellaridan farq qiladi. U transkripsiya promptlarini qo‘llamaydi; terminlarni ko‘rib chiqish yoki tuzatishni asl audio bilan tekshiriladigan alohida bosqich sifatida bajaring. Ishlab chiqaruvchi interfeysi yozib olingan audioni matnga transkripsiya qiladi. U audio javob yaratmaydi va yozuvni alohida audio tarjima jarayoni orqali tarjima qilmaydi.\n\nModeldan mazmun ham, so‘zlovchilar tuzilishi ham kerak bo‘lgan transkriptlar uchun foydalaning. Ismlar, texnik terminlar, sonlar, gapirish navbatlari chegaralari va so‘zlovchiga nisbat berishlarni yozuv bilan tekshiring. Tuzatish bitta aniq ibora yoki so‘zlovchi tayinloviga qaratilishi uchun audio, tanlangan natija formati, namunalar va tugallangan transkriptni saqlang.",
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      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">O</span><h2 id=\"sheet-title\">gpt-4o-transcribe-diarize</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>OpenAI /</span><code>openai/gpt-4o-transcribe-diarize</code><button type=\"button\" id=\"copy-id\">ID ni nusxalash</button></div><nav class=\"card-jump-nav\" aria-label=\"Model kartochkasi bo‘limlari\"><button type=\"button\" data-card-jump=\"overview\">Boshlash</button><button type=\"button\" data-card-jump=\"methods\">Kirish ma’lumotlari va usullar</button><button type=\"button\" data-card-jump=\"pricing\">Tariflar</button><button type=\"button\" data-card-jump=\"examples\">Namunalar</button><button type=\"button\" data-card-jump=\"results\">Natijalar</button><button type=\"button\" data-card-jump=\"aliases\">Taxalluslar</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API usullari\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|transcriptions|/v1/audio/transcriptions|openai%2Fgpt-4o-transcribe-diarize\">Nutqni tanish</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Boshlash</h3><p class=\"mdesc-full\">GPT-4o Transcribe Diarize yozib olingan nutqni so‘zlovchi yorliqlari va vaqt ko‘rsatkichlari bilan segmentlarga ajratilgan matnga aylantiradi. U kim qachon gapirganini ko‘rsatadigan transkript kerak bo‘lgan yig‘ilishlar, intervyular va ko‘p kishili yozuvlar uchun mos; ma’lum so‘zlovchilar uchun qisqa ovoz namunalari ham berilishi mumkin.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Audio</dd></div><div><dt>Natijalar</dt><dd>transcription</dd></div></dl><details class=\"card-about\"><summary>Model haqida</summary><p class=\"note-s\" data-model-method-boundary>Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.</p><div class=\"mabout\" id=\"m-about\"><p>GPT-4o Transcribe Diarize — OpenAI kompaniyasining so‘zlovchilarni ajratish imkoniyati ichki tarzda mavjud bo‘lgan avtomatik nutqni tanish modeli. U suhbatdagi transkripsiya qilingan audio segmentlarini turli so‘zlovchilar bilan bog‘laydi. Foydali natija — faqat uzluksiz so‘zlar bloki emas, so‘zlovchi va vaqt bo‘yicha tartiblangan transkript. U yig‘ilish, intervyu yoki ko‘p kishili muhokama kabi so‘zlovchi yorliqlari kerak bo‘lgan yozib olingan nutq uchun mo‘ljallangan.</p><h4>Tugallangan yozuvni tayyorlang</h4><p>Transkripsiya qilinishi kerak bo‘lgan yozuvni bering. Hujjatlashtirilgan fayl jarayoni MP3, MP4, MPEG, MPGA, M4A, WAV va WebM ni qabul qiladi; fayl hajmi 25 MB bilan cheklangan. So‘zlovchining gapirish navbati, ism yoki noaniq iborani haqiqiy audio bilan tekshirish uchun manba yozuvni saqlang.</p><p>Yig‘ilishda gapirish navbatlarini ajratishga yordam beradigan qisqa pauzalarni kesib tashlamasdan, suhbat ketma-ketligini saqlang. Intervyuda vazifa savol va javob o‘rtasidagi bog‘lanishni talab qilsa, ularni birga qoldiring. Audioni tayyorlash nutqni eshitiladigan qilishi, lekin so‘zlovchilar belgilangan natija uchun muhim ma’lumotlarni olib tashlamasligi kerak.</p><p>Bu fayldan transkripsiya qilish jarayonidir. Tugallangan yozuvni qayta ishlash va hali kelayotgan audio oqimini tanish turli vazifalar; modelning so‘zlovchini belgilash imkoniyati Realtime transkripsiya sessiyalarida qo‘llanmaydi.</p><h4>So‘zlovchilar belgilangan transkriptni so‘rang</h4><p><code>diarized_json</code> natija formati so‘zlovchini belgilovchi yorliqlar hamda boshlanish va tugash vaqti mavjud segmentlarni qaytaradi. Har bir segmentda uning transkripsiya qilingan matni ham bor. So‘zlarni yozuvning tegishli qismi bilan bog‘lash uchun bu maydonlarni birga saqlang.</p><p>Foydali yig‘ilish transkriptida segmentlar ketma-ketligini saqlang va har bir so‘zlovchining gaplarini vaqti bilan ko‘rsating. Keyingi vazifa shu transkript asosida bayonnoma yoki bajariladigan ishlar ro‘yxatini tayyorlashi mumkin, ammo so‘zlovchilarni ajratishning o‘zi yig‘ilishda nima kelishilganini hal qilmaydi va tekshirilgan qisqacha bayon yaratmaydi.</p><p>So‘zlovchi yorliqlari modelning nutqni guruhlashini ifodalaydi. Odamlar bir-birining gapini bo‘lganda, qisqa gapirganda yoki bir vaqtda gapirganda o‘tishlarni tekshiring. Yaxshi tuzilgan natija yozuv bo‘ylab yurish va tekshirishga yordam beradi, ammo muayyan gapni bir so‘zlovchiga nisbat berishni baribir asl audioni tinglab tekshirish kerak bo‘lishi mumkin.</p><h4>Ma’lum so‘zlovchilar uchun ovoz namunalari</h4><p>Hujjatlashtirilgan jarayon nomi ko‘rsatilgan to‘rttagacha so‘zlovchi namunasini qabul qilishi mumkin. Har bir namuna asosiy yuklashda qo‘llanadigan formatdagi 2–10 soniyalik qisqa audio parchadir. Segmentlarni ma’lum so‘zlovchilar bilan bog‘lash uchun ismlar va namunalar birga beriladi.</p><p>Kerakli so‘zlovchi aniq eshitiladigan namunani tayyorlang va uning ismini transkriptdagi mo‘ljallangan yorliqlar bilan izchil qo‘llang. Intervyuda boshlovchining namunasi barcha ishtirokchilarni anonim yorliqqa aylantirmasdan, so‘zlovchilar belgilangan natijani tartibga solishga yordam berishi mumkin. Namuna gapni so‘zlovchiga nisbat berish uchun kirish ma’lumotidir; u umumiy ovoz klonlash operatsiyasi yoki shaxs kimligining isboti emas.</p><p>So‘zlovchini nomlashni aytilgan so‘zlarni tahrirlash bilan aralashtirmang. Foydali chiqish yozuv mazmunini va haqiqiy gapirish navbatlari tartibini saqlashi kerak.</p><h4>Bo‘laklash va model chegaralari</h4><p>30 soniyadan uzun audio uchun ishlab chiqaruvchi bo‘laklash strategiyasini talab qiladi: avtomatik bo‘laklash yoki ovoz faolligini aniqlash konfiguratsiyasi. Bu talab yozuvning eng katta davomiyligi emas. U uzunroq kirish ma’lumoti qayta ishlash uchun qanday bo‘linishini ifodalaydi.</p><p>Model kartasida 16,000 tokenli kontekst oynasi va ko‘pi bilan 2,000 chiqish tokeni ko‘rsatilgan. Bular fayl jarayonidagi 25 MB yuklash chegarasi va bo‘laklash chegaraviy nuqtasidan alohida model token limitlaridir. Ularni har bir yozuvga birdek qo‘llanadigan, o‘ylab topilgan daqiqalar soniga aylantirmaslik kerak.</p><p>Uzunroq transkriptni yig‘ish yoki tekshirishda vaqt ko‘rsatkichlari va segment identifikatsiyasini saqlang. Yozuv yuborilishidan oldin bo‘lingan bo‘lsa, mahalliy vaqt belgisi butun suhbatdagi o‘rni bilan chalkashmasligi uchun har bir qismning asl audio bilan bog‘lanishini saqlang.</p><h4>Yakunlangan segmentlarni oqimli uzatish</h4><p>Fayldan transkripsiya qilish jarayoni yozuv qayta ishlanayotganda matnni oqimli uzatishi mumkin. So‘zlovchilar belgilangan oqimda yakunlangan segmentlar segment hodisalarini hosil qiladi. Matnning qo‘shimcha qismlarida segment identifikatori bo‘ladi, ammo qisman tayyor so‘zlovchi tayinlovlari bo‘lmaydi; so‘zlovchi segment yakunlanganda tayinlanadi.</p><p>Bu farq natijani ko‘rsatishda muhim. Model segmentni tugatmasidan oldin noaniq so‘zlovchi yorlig‘ini biriktirmasdan, dastlabki matn va yakunlangan so‘zlovchi navbatini turli holatlar sifatida ko‘rsating. Transkript keyingi tahrir yoki tahlil uchun kerak bo‘lsa, tugallangan natijani saqlang.</p><h4>Model va chiqish chegaralari</h4><p>Bu profil so‘zlovchilarni ajratish modeli bo‘lib, odatiy GPT-4o transkripsiyasi, Mini transkripsiyasi, nutq sintezi va jonli suhbat modellaridan farq qiladi. U transkripsiya promptlarini qo‘llamaydi; terminlarni ko‘rib chiqish yoki tuzatishni asl audio bilan tekshiriladigan alohida bosqich sifatida bajaring. Ishlab chiqaruvchi interfeysi yozib olingan audioni matnga transkripsiya qiladi. U audio javob yaratmaydi va yozuvni alohida audio tarjima jarayoni orqali tarjima qilmaydi.</p><p>Modeldan mazmun ham, so‘zlovchilar tuzilishi ham kerak bo‘lgan transkriptlar uchun foydalaning. Ismlar, texnik terminlar, sonlar, gapirish navbatlari chegaralari va so‘zlovchiga nisbat berishlarni yozuv bilan tekshiring. Tuzatish bitta aniq ibora yoki so‘zlovchi tayinloviga qaratilishi uchun audio, tanlangan natija formati, namunalar va tugallangan transkriptni saqlang.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Nutqni tanish</b> <code>POST /v1/audio/transcriptions</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>audio</code></dd></div><div><dt>Chiqish</dt><dd><code>transcription</code></dd></div><div><dt>Chiqish formati</dt><dd>json</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Maydon</th><th>Tur</th><th>Talab</th><th>Qiymatlar va cheklovlar</th><th>Standart</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>openai/gpt-4o-transcribe-diarize</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">file</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>file</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Baytlarning eng ko‘p soni: 26 214 400</div><div>MIME turlari: audio/mpeg</div><div>Fayl kengaytmasi: .mp3</div><div>Eng ko‘p davomiylik, soniya: 30</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">response_format</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>diarized_json</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Kirish materiallari birikmalari</summary><p class=\"note-s\"><b>diarized_transcription</b></p></details><details class=\"note-s\" data-method-contract><summary>Usul parametrlari va hayot sikli</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametr</th><th>Parametr talablari</th></tr></thead><tbody><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>content_type</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>multipart/form-data</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>required</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>model, file, response_format</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>file_formats</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>mp3</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>max_audio_seconds</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>30</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>max_bytes</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>26214400</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>response_format</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>diarized_json</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>other_options</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>false</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_types</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>audio</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>additional_properties</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>false</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>form_string_maximum_bytes</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>256</td></tr></tbody></table></div><p>Usul taxalluslari: <code>/audio/transcriptions</code></p><p>Hayot sikli: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/tasks/{task_id}</code> · Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv</p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}/content</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p><p class=\"note-s\">Haqiqiy yozuv va mos formatdan foydalaning.</p><p class=\"note-s\">To‘liq transkriptni, segmentlarni, so‘zlovchi ID larini va vaqt ma’lumotini saqlang.</p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot tariflari</h4><h4>Sozlamalar bo‘yicha narxlar</h4><p class=\"note-s\">Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>Hisob birligi</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>—</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Ultra</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>—</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>/ 1K audio token</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish audiosi tokeni</span> <b>$0.012</b> <span class=\"price-unit\">/ 1K audio token</span></div></td></tr><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Ultra</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>—</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>/ 1K audio token</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Chiqish · Chiqish audiosi tokeni</span> <b>$0.02</b> <span class=\"price-unit\">/ 1K audio token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Nutqni tanish</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2050-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2050-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · Saqlangan yaratish so‘rovining aynan o‘zi</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2050-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2050-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_AUDIO_FILE:?Set the path to your actual MP3 recording}&quot;\nexport AILOOT_AUDIO_FILE\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport os\nfrom pathlib import Path\np=Path(os.environ[&quot;AILOOT_AUDIO_FILE&quot;])\nif not p.is_file() or p.suffix.lower()!=&quot;.mp3&quot;:raise SystemExit(&quot;Choose an existing MP3 recording&quot;)\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; \\\n  --form-string model=openai/gpt-4o-transcribe-diarize -F &quot;file=@$AILOOT_AUDIO_FILE&quot; --form-string response_format=diarized_json \\\n  -D response-headers.txt -o result.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;result.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · Nutqni tanish</h4><p class=\"note-s\">json</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/tasks/{task_id}</code></li><li><code>GET /v1/media/assets/{asset_id}/content</code></li><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><details class=\"card-about\"><summary>Boshqa kontentni o‘qish</summary><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2051-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2051-panel-0\" aria-selected=\"true\" tabindex=\"0\">O‘zingizga tegishli har bir qaytarilgan transkriptni saqlash</button><button class=\"cg-tab\" id=\"model-code-2051-tab-1\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2051-panel-1\" aria-selected=\"false\" tabindex=\"-1\">Media kutubxonasi</button><button class=\"cg-tab\" id=\"model-code-2051-tab-2\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2051-panel-2\" aria-selected=\"false\" tabindex=\"-1\">Vazifa holati</button><button class=\"cg-tab\" id=\"model-code-2051-tab-3\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2051-panel-3\" aria-selected=\"false\" tabindex=\"-1\">Material tafsilotlari</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2051-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2051-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_ASSETS&#39;\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path(&#39;result.json&#39;).read_text())\nurls=[]\nif isinstance(r.get(&#39;asset_url&#39;),str) and r[&#39;asset_url&#39;]:urls.append((&#39;transcript&#39;,r[&#39;asset_url&#39;]))\nfor label,path in urls:\n    u=urljoin(&#39;https://api.ailoot.ai&#39;,path);z=urlsplit(u)\n    if z.scheme!=&#39;https&#39; or z.netloc!=&#39;api.ailoot.ai&#39; or z.username or z.password:raise SystemExit(&#39;Use the actual returned Ailoot owned content URL&#39;)\n    target=Path(&#39;owned-&#39;+label+&#39;.bin&#39;)\n    subprocess.run([&#39;curl&#39;,&#39;--fail-with-body&#39;,&#39;--silent&#39;,&#39;--show-error&#39;,u,&#39;-H&#39;,&#39;Authorization: Bearer &#39;+os.environ[&#39;AILOOT_API_KEY&#39;],&#39;-D&#39;,str(target)+&#39;.headers&#39;,&#39;-o&#39;,str(target)],check=True)\nprint(&#39;All returned owned URLs saved; complete metadata, timing and usage remain in the JSON.&#39;)\nPY_ASSETS\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2051-panel-1\" role=\"tabpanel\" aria-labelledby=\"model-code-2051-tab-1\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-assets.json\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2051-panel-2\" role=\"tabpanel\" aria-labelledby=\"model-code-2051-tab-2\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}&quot;\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c &#39;import os,urllib.parse;print(urllib.parse.quote(os.environ[&quot;AILOOT_MEDIA_TASK_ID&quot;],safe=&quot;&quot;))&#39;)\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/media/tasks/$resource_id&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-task.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-task.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div><div class=\"cg-pane\" id=\"model-code-2051-panel-3\" role=\"tabpanel\" aria-labelledby=\"model-code-2051-tab-3\" hidden><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\n: &quot;${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}&quot;\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c &#39;import os,urllib.parse;print(urllib.parse.quote(os.environ[&quot;AILOOT_ASSET_ID&quot;],safe=&quot;&quot;))&#39;)\ncurl --fail-with-body --silent --show-error &quot;https://api.ailoot.ai/v1/media/assets/$resource_id&quot; \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -o media-asset.json\npython3 - &lt;&lt;&#39;PY_RESULT&#39;\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(&quot;media-asset.json&quot;).read_text())))\nPY_RESULT\n</code></pre></div></div></div></details><div class=\"card-result-process\" data-all-results><h5>Barcha tayyor natijalarni saqlash</h5><p class=\"note-s\">Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.</p><p class=\"note-s\">Faqat matnni emas, to‘liq JSON ni saqlang; mavjud har bir segment/so‘zlovchi/vaqt belgisini va haqiqiy vazifa/aktiv identifikatorini saqlang.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Ma’lumotlarni solishtirib tekshirish uchun dastlabki operation_id/X-Client-Request-ID ni saqlang va so‘rovni qayta yubormang; audio holatini davriy tekshirish uchun alohida yo‘nalish yo‘q.</p></div><details class=\"card-about\" data-output-fields><summary>Javob maydonlari</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Maydon</th><th>Tur</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">text</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>string</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">segments[]</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>object</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">task_id</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>string</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">asset_url</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>string</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">usage</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>object</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">segments[].speaker</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>string</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">segments[].start</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>number</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">segments[].end</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>number</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Xatolar va keyingi qadamlar</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Javob</th><th>Shart</th><th>Keyingi qadam</th></tr></thead><tbody><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Majburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Yangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span><code>server_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Qaytarilgan javob operatsiya yoki natijani tekshirish kerakligini bildiradi</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Dastlab qaytarilgan operatsiya/vazifa ID sini, so‘rov sarlavhalarini va javobni saqlang; aynan shu operatsiya uchun qo‘llab-quvvatlanadigan o‘qish so‘rovlarini davom ettiring. Yaratish so‘rovini qayta yubormang.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Taxalluslar</h3><h4>Model taxalluslari</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=openai%2Fgpt-4o-transcribe-diarize&amp;route=Ultra&amp;caller=openai%2Fgpt-4o-transcribe-diarize&amp;fmt=transcriptions\"><code>openai/gpt-4o-transcribe-diarize</code></a></span></p><h4>Usul yo‘llari taxalluslari</h4><p class=\"note-s\"><code>/audio/transcriptions</code></p><h4>Chaqirish uchun tegishli ID lar</h4><p class=\"note-s\"><a href=\"#m=openai%2Fgpt-4o-transcribe-diarize&amp;route=Ultra&amp;caller=openai%2Fgpt-4o-transcribe-diarize&amp;fmt=transcriptions\"><code>openai/gpt-4o-transcribe-diarize</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "openai/gpt-4o-transcribe-diarize",
        "fmt": "transcriptions",
        "http": "POST",
        "path": "/v1/audio/transcriptions",
        "request_model_id": "openai/gpt-4o-transcribe-diarize",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|openai%2Fgpt-4o-transcribe-diarize",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain complete JSON, not only text; preserve every available segment/speaker/timestamp and actual task/asset identity.",
            "errors": [
              {
                "code": null,
                "condition": "Majburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri",
                "http_status": 400,
                "recovery": "Yangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Qaytarilgan javob operatsiya yoki natijani tekshirish kerakligini bildiradi",
                "http_status": null,
                "recovery": "Dastlab qaytarilgan operatsiya/vazifa ID sini, so‘rov sarlavhalarini va javobni saqlang; aynan shu operatsiya uchun qo‘llab-quvvatlanadigan o‘qish so‘rovlarini davom ettiring. Yaratish so‘rovini qayta yubormang.",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Ma’lumotlarni solishtirib tekshirish uchun dastlabki operation_id/X-Client-Request-ID ni saqlang va so‘rovni qayta yubormang; audio holatini davriy tekshirish uchun alohida yo‘nalish yo‘q."
            },
            "limits": {
              "decoded_audio_max_bytes": 26214400
            },
            "material_combinations": [
              {
                "content_type": "multipart/form-data",
                "file_formats": [
                  "mp3"
                ],
                "maximum_seconds": 30,
                "mode": "diarized_transcription"
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "diarized_transcription"
            ],
            "outputs": {
              "all_results": "Faqat matnni emas, to‘liq JSON ni saqlang; mavjud har bir segment/so‘zlovchi/vaqt belgisini va haqiqiy vazifa/aktiv identifikatorini saqlang.",
              "family": "transcription",
              "fields": [
                {
                  "description": null,
                  "name": "text",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "segments[]",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "task_id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "asset_url",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "segments[].speaker",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "segments[].start",
                  "type": "number"
                },
                {
                  "description": null,
                  "name": "segments[].end",
                  "type": "number"
                }
              ],
              "format": "json"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "openai/gpt-4o-transcribe-diarize"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "file_extension": ".mp3",
                "maximum_bytes": 26214400,
                "maximum_seconds": 30,
                "mime_types": [
                  "audio/mpeg"
                ],
                "name": "file",
                "required": true,
                "type": "file"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "diarized_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "JSONinput_audio",
              "nonMP3",
              "audioover30seconds",
              "otheroptions"
            ]
          },
          "hints": [
            "Haqiqiy yozuv va mos formatdan foydalaning.",
            "To‘liq transkriptni, segmentlarni, so‘zlovchi ID larini va vaqt ma’lumotini saqlang."
          ],
          "input": {
            "additional_properties": false,
            "content_type": "multipart/form-data",
            "file_formats": [
              "mp3"
            ],
            "form_string_maximum_bytes": 256,
            "material_types": [
              "audio"
            ],
            "max_audio_seconds": 30,
            "max_bytes": 26214400,
            "other_options": false,
            "required": [
              "model",
              "file",
              "response_format"
            ],
            "response_format": [
              "diarized_json"
            ]
          },
          "lifecycle": {
            "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/transcriptions"
          },
          "method_aliases": [
            "/audio/transcriptions"
          ],
          "operation_modes": [
            "diarized_transcription"
          ],
          "output": {
            "all_results": "Retain complete JSON, not only text; preserve every available segment/speaker/timestamp and actual task/asset identity.",
            "family": "transcription",
            "fields": [
              {
                "description": null,
                "name": "text",
                "type": "string"
              },
              {
                "description": null,
                "name": "segments[]",
                "type": "object"
              },
              {
                "description": null,
                "name": "task_id",
                "type": "string"
              },
              {
                "description": null,
                "name": "asset_url",
                "type": "string"
              },
              {
                "description": null,
                "name": "usage",
                "type": "object"
              },
              {
                "description": null,
                "name": "segments[].speaker",
                "type": "string"
              },
              {
                "description": null,
                "name": "segments[].start",
                "type": "number"
              },
              {
                "description": null,
                "name": "segments[].end",
                "type": "number"
              }
            ],
            "format": "json",
            "owned_result_extra_fields": [
              "task_id",
              "asset_url"
            ],
            "preserve_original_json_fields": [
              "text",
              "task",
              "duration",
              "segments",
              "usage"
            ],
            "segment_fields": [
              "type",
              "text",
              "speaker",
              "start",
              "end",
              "id"
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.012000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_token",
                "label": "audio input token",
                "native_amount_usd_per_unit": "0.000012",
                "native_quantity": 1,
                "native_unit": "audio_input_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.02000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_output_token",
                "label": "audio output token",
                "native_amount_usd_per_unit": "0.00002",
                "native_quantity": 1,
                "native_unit": "audio_output_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "audio_output_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual MP3 recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport os\nfrom pathlib import Path\np=Path(os.environ[\"AILOOT_AUDIO_FILE\"])\nif not p.is_file() or p.suffix.lower()!=\".mp3\":raise SystemExit(\"Choose an existing MP3 recording\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" \\\n  --form-string model=openai/gpt-4o-transcribe-diarize -F \"file=@$AILOOT_AUDIO_FILE\" --form-string response_format=diarized_json \\\n  -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"result.json\").read_text())))\nPY_RESULT\n",
            "label": "curl · exact retained creation",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_ASSETS'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path('result.json').read_text())\nurls=[]\nif isinstance(r.get('asset_url'),str) and r['asset_url']:urls.append(('transcript',r['asset_url']))\nfor label,path in urls:\n    u=urljoin('https://api.ailoot.ai',path);z=urlsplit(u)\n    if z.scheme!='https' or z.netloc!='api.ailoot.ai' or z.username or z.password:raise SystemExit('Use the actual returned Ailoot owned content URL')\n    target=Path('owned-'+label+'.bin')\n    subprocess.run(['curl','--fail-with-body','--silent','--show-error',u,'-H','Authorization: Bearer '+os.environ['AILOOT_API_KEY'],'-D',str(target)+'.headers','-o',str(target)],check=True)\nprint('All returned owned URLs saved; complete metadata, timing and usage remain in the JSON.')\nPY_ASSETS\n",
            "label": "Save every returned owned transcript",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n",
            "label": "List actual media assets",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual media task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual asset metadata",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "Use actual recording and matching format.",
          "Preserve full transcript, segments, speaker IDs and timing."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "audio"
        ],
        "label": "Распознавание речи",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/audio/transcriptions"
        ],
        "out": null,
        "output": [
          "transcription"
        ],
        "path": "/v1/audio/transcriptions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "audio_input_token": 1.2e-05,
            "audio_output_token": 2e-05
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.012000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_token",
                "label": "audio input token",
                "native_amount_usd_per_unit": "0.000012",
                "native_quantity": 1,
                "native_unit": "audio_input_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.02000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_output_token",
                "label": "audio output token",
                "native_amount_usd_per_unit": "0.00002",
                "native_quantity": 1,
                "native_unit": "audio_output_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "audio_output_token"
              }
            ]
          }
        ],
        "request_model_id": "openai/gpt-4o-transcribe-diarize",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}",
          "GET /v1/media/assets/{asset_id}/content"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.012000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_token",
            "label": "audio input token",
            "native_amount_usd_per_unit": "0.000012",
            "native_quantity": 1,
            "native_unit": "audio_input_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_token"
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          {
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            "billing_input": true,
            "estimate_only": false,
            "key": "audio_output_token",
            "label": "audio output token",
            "native_amount_usd_per_unit": "0.00002",
            "native_quantity": 1,
            "native_unit": "audio_output_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "audio_output_token"
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        ]
      }
    }
  ],
  "model_id": "openai/gpt-4o-transcribe-diarize",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "f85ca350ec666665d5e76bb939379407b83170ee5e42b606a423c732ad4640eb",
    "input_html_sha256": "4b62117aef788df01f913d084895c9493297490e7df0e25bb285828cc94646cc",
    "private_audit_sha256": "57307933624598c21e9a8f847b28d02fe414f8bf44eae77b8b9eeae52956be6f",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/openai-gpt-4o-transcribe-diarize/",
    "description": "GPT-4o Transcribe Diarize yozib olingan nutqni so‘zlovchi yorliqlari va vaqt ko‘rsatkichlari bilan segmentlarga ajratilgan matnga aylantiradi. U kim qachon gapirganini ko‘rsatadigan transkript kerak bo‘lgan yig‘ilishlar, intervyular va ko‘p kishili yozuvlar uchun mos; ma’lum so‘zlovchilar uchun qisqa ovoz namunalari ham berilishi mumkin.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/openai-gpt-4o-transcribe-diarize/index.md",
    "title": "gpt-4o-transcribe-diarize — Ailoot",
    "url": "https://ailoot.ai/models/uz/openai-gpt-4o-transcribe-diarize/"
  },
  "rawModel": {
    "about": "GPT-4o Transcribe Diarize — OpenAI kompaniyasining so‘zlovchilarni ajratish imkoniyati ichki tarzda mavjud bo‘lgan avtomatik nutqni tanish modeli. U suhbatdagi transkripsiya qilingan audio segmentlarini turli so‘zlovchilar bilan bog‘laydi. Foydali natija — faqat uzluksiz so‘zlar bloki emas, so‘zlovchi va vaqt bo‘yicha tartiblangan transkript. U yig‘ilish, intervyu yoki ko‘p kishili muhokama kabi so‘zlovchi yorliqlari kerak bo‘lgan yozib olingan nutq uchun mo‘ljallangan.\n\n### Tugallangan yozuvni tayyorlang\n\nTranskripsiya qilinishi kerak bo‘lgan yozuvni bering. Hujjatlashtirilgan fayl jarayoni MP3, MP4, MPEG, MPGA, M4A, WAV va WebM ni qabul qiladi; fayl hajmi 25 MB bilan cheklangan. So‘zlovchining gapirish navbati, ism yoki noaniq iborani haqiqiy audio bilan tekshirish uchun manba yozuvni saqlang.\n\nYig‘ilishda gapirish navbatlarini ajratishga yordam beradigan qisqa pauzalarni kesib tashlamasdan, suhbat ketma-ketligini saqlang. Intervyuda vazifa savol va javob o‘rtasidagi bog‘lanishni talab qilsa, ularni birga qoldiring. Audioni tayyorlash nutqni eshitiladigan qilishi, lekin so‘zlovchilar belgilangan natija uchun muhim ma’lumotlarni olib tashlamasligi kerak.\n\nBu fayldan transkripsiya qilish jarayonidir. Tugallangan yozuvni qayta ishlash va hali kelayotgan audio oqimini tanish turli vazifalar; modelning so‘zlovchini belgilash imkoniyati Realtime transkripsiya sessiyalarida qo‘llanmaydi.\n\n### So‘zlovchilar belgilangan transkriptni so‘rang\n\n`diarized_json` natija formati so‘zlovchini belgilovchi yorliqlar hamda boshlanish va tugash vaqti mavjud segmentlarni qaytaradi. Har bir segmentda uning transkripsiya qilingan matni ham bor. So‘zlarni yozuvning tegishli qismi bilan bog‘lash uchun bu maydonlarni birga saqlang.\n\nFoydali yig‘ilish transkriptida segmentlar ketma-ketligini saqlang va har bir so‘zlovchining gaplarini vaqti bilan ko‘rsating. Keyingi vazifa shu transkript asosida bayonnoma yoki bajariladigan ishlar ro‘yxatini tayyorlashi mumkin, ammo so‘zlovchilarni ajratishning o‘zi yig‘ilishda nima kelishilganini hal qilmaydi va tekshirilgan qisqacha bayon yaratmaydi.\n\nSo‘zlovchi yorliqlari modelning nutqni guruhlashini ifodalaydi. Odamlar bir-birining gapini bo‘lganda, qisqa gapirganda yoki bir vaqtda gapirganda o‘tishlarni tekshiring. Yaxshi tuzilgan natija yozuv bo‘ylab yurish va tekshirishga yordam beradi, ammo muayyan gapni bir so‘zlovchiga nisbat berishni baribir asl audioni tinglab tekshirish kerak bo‘lishi mumkin.\n\n### Ma’lum so‘zlovchilar uchun ovoz namunalari\n\nHujjatlashtirilgan jarayon nomi ko‘rsatilgan to‘rttagacha so‘zlovchi namunasini qabul qilishi mumkin. Har bir namuna asosiy yuklashda qo‘llanadigan formatdagi 2–10 soniyalik qisqa audio parchadir. Segmentlarni ma’lum so‘zlovchilar bilan bog‘lash uchun ismlar va namunalar birga beriladi.\n\nKerakli so‘zlovchi aniq eshitiladigan namunani tayyorlang va uning ismini transkriptdagi mo‘ljallangan yorliqlar bilan izchil qo‘llang. Intervyuda boshlovchining namunasi barcha ishtirokchilarni anonim yorliqqa aylantirmasdan, so‘zlovchilar belgilangan natijani tartibga solishga yordam berishi mumkin. Namuna gapni so‘zlovchiga nisbat berish uchun kirish ma’lumotidir; u umumiy ovoz klonlash operatsiyasi yoki shaxs kimligining isboti emas.\n\nSo‘zlovchini nomlashni aytilgan so‘zlarni tahrirlash bilan aralashtirmang. Foydali chiqish yozuv mazmunini va haqiqiy gapirish navbatlari tartibini saqlashi kerak.\n\n### Bo‘laklash va model chegaralari\n\n30 soniyadan uzun audio uchun ishlab chiqaruvchi bo‘laklash strategiyasini talab qiladi: avtomatik bo‘laklash yoki ovoz faolligini aniqlash konfiguratsiyasi. Bu talab yozuvning eng katta davomiyligi emas. U uzunroq kirish ma’lumoti qayta ishlash uchun qanday bo‘linishini ifodalaydi.\n\nModel kartasida 16,000 tokenli kontekst oynasi va ko‘pi bilan 2,000 chiqish tokeni ko‘rsatilgan. Bular fayl jarayonidagi 25 MB yuklash chegarasi va bo‘laklash chegaraviy nuqtasidan alohida model token limitlaridir. Ularni har bir yozuvga birdek qo‘llanadigan, o‘ylab topilgan daqiqalar soniga aylantirmaslik kerak.\n\nUzunroq transkriptni yig‘ish yoki tekshirishda vaqt ko‘rsatkichlari va segment identifikatsiyasini saqlang. Yozuv yuborilishidan oldin bo‘lingan bo‘lsa, mahalliy vaqt belgisi butun suhbatdagi o‘rni bilan chalkashmasligi uchun har bir qismning asl audio bilan bog‘lanishini saqlang.\n\n### Yakunlangan segmentlarni oqimli uzatish\n\nFayldan transkripsiya qilish jarayoni yozuv qayta ishlanayotganda matnni oqimli uzatishi mumkin. So‘zlovchilar belgilangan oqimda yakunlangan segmentlar segment hodisalarini hosil qiladi. Matnning qo‘shimcha qismlarida segment identifikatori bo‘ladi, ammo qisman tayyor so‘zlovchi tayinlovlari bo‘lmaydi; so‘zlovchi segment yakunlanganda tayinlanadi.\n\nBu farq natijani ko‘rsatishda muhim. Model segmentni tugatmasidan oldin noaniq so‘zlovchi yorlig‘ini biriktirmasdan, dastlabki matn va yakunlangan so‘zlovchi navbatini turli holatlar sifatida ko‘rsating. Transkript keyingi tahrir yoki tahlil uchun kerak bo‘lsa, tugallangan natijani saqlang.\n\n### Model va chiqish chegaralari\n\nBu profil so‘zlovchilarni ajratish modeli bo‘lib, odatiy GPT-4o transkripsiyasi, Mini transkripsiyasi, nutq sintezi va jonli suhbat modellaridan farq qiladi. U transkripsiya promptlarini qo‘llamaydi; terminlarni ko‘rib chiqish yoki tuzatishni asl audio bilan tekshiriladigan alohida bosqich sifatida bajaring. Ishlab chiqaruvchi interfeysi yozib olingan audioni matnga transkripsiya qiladi. U audio javob yaratmaydi va yozuvni alohida audio tarjima jarayoni orqali tarjima qilmaydi.\n\nModeldan mazmun ham, so‘zlovchilar tuzilishi ham kerak bo‘lgan transkriptlar uchun foydalaning. Ismlar, texnik terminlar, sonlar, gapirish navbatlari chegaralari va so‘zlovchiga nisbat berishlarni yozuv bilan tekshiring. Tuzatish bitta aniq ibora yoki so‘zlovchi tayinloviga qaratilishi uchun audio, tanlangan natija formati, namunalar va tugallangan transkriptni saqlang.",
    "alias_of": null,
    "aliases": [],
    "author": "OpenAI",
    "available": null,
    "canonical_model": "openai/gpt-4o-transcribe-diarize",
    "capabilities": {
      "context_length": 16000,
      "manufacturer_input": [],
      "manufacturer_output": []
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.012000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_token",
            "label": "audio input token",
            "native_amount_usd_per_unit": "0.000012",
            "native_quantity": 1,
            "native_unit": "audio_input_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_token"
          },
          {
            "amount": "0.02000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_output_token",
            "label": "audio output token",
            "native_amount_usd_per_unit": "0.00002",
            "native_quantity": 1,
            "native_unit": "audio_output_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "audio_output_token"
          }
        ],
        "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan."
      }
    ],
    "ctx": null,
    "entity_type": "model",
    "formats": [
      "transcriptions"
    ],
    "id": "openai/gpt-4o-transcribe-diarize",
    "input": [
      "audio"
    ],
    "kind": "unresolved_method_or_category",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain complete JSON, not only text; preserve every available segment/speaker/timestamp and actual task/asset identity.",
            "errors": [
              {
                "code": null,
                "condition": "Majburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri",
                "http_status": 400,
                "recovery": "Yangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating.",
                "type": "invalid_request_error"
              },
              {
                "code": null,
                "condition": "Qaytarilgan javob operatsiya yoki natijani tekshirish kerakligini bildiradi",
                "http_status": null,
                "recovery": "Dastlab qaytarilgan operatsiya/vazifa ID sini, so‘rov sarlavhalarini va javobni saqlang; aynan shu operatsiya uchun qo‘llab-quvvatlanadigan o‘qish so‘rovlarini davom ettiring. Yaratish so‘rovini qayta yubormang.",
                "type": "server_error"
              }
            ],
            "hints": [],
            "ignored_fields": [],
            "lifecycle": {
              "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets"
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "content": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}/content",
                  "url_source": "exact returned signed URL; never construct token"
                }
              ],
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "status": [
                {
                  "http": "GET",
                  "id_source": "actual returned task_id or media library record",
                  "path": "/v1/media/tasks/{task_id}"
                }
              ],
              "unknown": "Ma’lumotlarni solishtirib tekshirish uchun dastlabki operation_id/X-Client-Request-ID ni saqlang va so‘rovni qayta yubormang; audio holatini davriy tekshirish uchun alohida yo‘nalish yo‘q."
            },
            "limits": {
              "decoded_audio_max_bytes": 26214400
            },
            "material_combinations": [
              {
                "content_type": "multipart/form-data",
                "file_formats": [
                  "mp3"
                ],
                "maximum_seconds": 30,
                "mode": "diarized_transcription"
              }
            ],
            "media_library": {
              "asset": {
                "fields": [
                  {
                    "description": null,
                    "name": "asset_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "task_id",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "output_key",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "family",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "model",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "method",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "status",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "content_type",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "sha256",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "size_bytes",
                    "type": "integer"
                  },
                  {
                    "description": null,
                    "name": "content_url",
                    "type": "string"
                  }
                ],
                "http": "GET",
                "id_source": "actual returned asset_id",
                "path": "/v1/media/assets/{asset_id}"
              },
              "content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "range_header_supported": true,
                "url_source": "Use exact returned signed content_url including its token; do not construct a token."
              },
              "expired_link": {
                "code": "link_expired",
                "http_status": 404,
                "recovery": "Read the asset again to obtain its refreshed signed content_url, then fetch that URL. Do not regenerate."
              },
              "list": {
                "all_pages": "Follow every returned next_cursor, then select records by their actual task_id/output_key.",
                "http": "GET",
                "output_fields": [
                  {
                    "description": null,
                    "name": "object",
                    "type": "string"
                  },
                  {
                    "description": null,
                    "name": "data",
                    "type": "asset[]"
                  },
                  {
                    "description": null,
                    "name": "next_cursor",
                    "type": "string|null"
                  }
                ],
                "parameters": [
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "family",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": null,
                    "default_known": false,
                    "enum": null,
                    "enum_known": false,
                    "name": "cursor",
                    "required": false,
                    "type": "string"
                  },
                  {
                    "availability": "source_interface",
                    "default": 20,
                    "default_known": true,
                    "enum": null,
                    "enum_known": false,
                    "maximum": 100,
                    "minimum": 1,
                    "name": "limit",
                    "required": false,
                    "type": "integer"
                  }
                ],
                "path": "/v1/media/assets"
              },
              "revoke": {
                "http": "DELETE",
                "meaning": "Revokes/deletes the existing owned file; this is not generation cancellation.",
                "path": "/v1/media/assets/{asset_id}",
                "pending_status": "revoking",
                "success_statuses": [
                  202,
                  204
                ]
              },
              "task": {
                "http": "GET",
                "id_source": "actual returned task_id or media library record; operation_id is not task_id",
                "path": "/v1/media/tasks/{task_id}"
              }
            },
            "operation_modes": [
              "diarized_transcription"
            ],
            "outputs": {
              "all_results": "Faqat matnni emas, to‘liq JSON ni saqlang; mavjud har bir segment/so‘zlovchi/vaqt belgisini va haqiqiy vazifa/aktiv identifikatorini saqlang.",
              "family": "transcription",
              "fields": [
                {
                  "description": null,
                  "name": "text",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "segments[]",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "task_id",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "asset_url",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "usage",
                  "type": "object"
                },
                {
                  "description": null,
                  "name": "segments[].speaker",
                  "type": "string"
                },
                {
                  "description": null,
                  "name": "segments[].start",
                  "type": "number"
                },
                {
                  "description": null,
                  "name": "segments[].end",
                  "type": "number"
                }
              ],
              "format": "json"
            },
            "parameters": [
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "openai/gpt-4o-transcribe-diarize"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "file_extension": ".mp3",
                "maximum_bytes": 26214400,
                "maximum_seconds": 30,
                "mime_types": [
                  "audio/mpeg"
                ],
                "name": "file",
                "required": true,
                "type": "file"
              },
              {
                "availability": "source_interface",
                "default": null,
                "default_known": false,
                "enum": [
                  "diarized_json"
                ],
                "enum_known": true,
                "name": "response_format",
                "required": true,
                "type": "string"
              }
            ],
            "profile_binding": "Exact existing Ailoot model and method; interface constraints below do not assert provider qualification.",
            "unsupported": [
              "JSONinput_audio",
              "nonMP3",
              "audioover30seconds",
              "otheroptions"
            ]
          },
          "hints": [
            "Haqiqiy yozuv va mos formatdan foydalaning.",
            "To‘liq transkriptni, segmentlarni, so‘zlovchi ID larini va vaqt ma’lumotini saqlang."
          ],
          "input": {
            "additional_properties": false,
            "content_type": "multipart/form-data",
            "file_formats": [
              "mp3"
            ],
            "form_string_maximum_bytes": 256,
            "material_types": [
              "audio"
            ],
            "max_audio_seconds": 30,
            "max_bytes": 26214400,
            "other_options": false,
            "required": [
              "model",
              "file",
              "response_format"
            ],
            "response_format": [
              "diarized_json"
            ]
          },
          "lifecycle": {
            "all_results": "Follow everyactualreturnedoutputandownedasset; no result is discardedbecauseindex0orcontent_urlalreadyexists.",
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets"
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "content": [
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "exact returned signed URL; never construct token"
              }
            ],
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "status": [
              {
                "http": "GET",
                "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv",
                "path": "/v1/media/tasks/{task_id}"
              }
            ],
            "unknown": "Retain original operation_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route."
          },
          "method": {
            "http": "POST",
            "path": "/v1/audio/transcriptions"
          },
          "method_aliases": [
            "/audio/transcriptions"
          ],
          "operation_modes": [
            "diarized_transcription"
          ],
          "output": {
            "all_results": "Retain complete JSON, not only text; preserve every available segment/speaker/timestamp and actual task/asset identity.",
            "family": "transcription",
            "fields": [
              {
                "description": null,
                "name": "text",
                "type": "string"
              },
              {
                "description": null,
                "name": "segments[]",
                "type": "object"
              },
              {
                "description": null,
                "name": "task_id",
                "type": "string"
              },
              {
                "description": null,
                "name": "asset_url",
                "type": "string"
              },
              {
                "description": null,
                "name": "usage",
                "type": "object"
              },
              {
                "description": null,
                "name": "segments[].speaker",
                "type": "string"
              },
              {
                "description": null,
                "name": "segments[].start",
                "type": "number"
              },
              {
                "description": null,
                "name": "segments[].end",
                "type": "number"
              }
            ],
            "format": "json",
            "owned_result_extra_fields": [
              "task_id",
              "asset_url"
            ],
            "preserve_original_json_fields": [
              "text",
              "task",
              "duration",
              "segments",
              "usage"
            ],
            "segment_fields": [
              "type",
              "text",
              "speaker",
              "start",
              "end",
              "id"
            ]
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.012000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_token",
                "label": "audio input token",
                "native_amount_usd_per_unit": "0.000012",
                "native_quantity": 1,
                "native_unit": "audio_input_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.02000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_output_token",
                "label": "audio output token",
                "native_amount_usd_per_unit": "0.00002",
                "native_quantity": 1,
                "native_unit": "audio_output_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "audio_output_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual MP3 recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport os\nfrom pathlib import Path\np=Path(os.environ[\"AILOOT_AUDIO_FILE\"])\nif not p.is_file() or p.suffix.lower()!=\".mp3\":raise SystemExit(\"Choose an existing MP3 recording\")\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" \\\n  --form-string model=openai/gpt-4o-transcribe-diarize -F \"file=@$AILOOT_AUDIO_FILE\" --form-string response_format=diarized_json \\\n  -D response-headers.txt -o result.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"result.json\").read_text())))\nPY_RESULT\n",
            "label": "curl · exact retained creation",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_ASSETS'\nimport json,os,subprocess\nfrom pathlib import Path\nfrom urllib.parse import urljoin,urlsplit\nr=json.loads(Path('result.json').read_text())\nurls=[]\nif isinstance(r.get('asset_url'),str) and r['asset_url']:urls.append(('transcript',r['asset_url']))\nfor label,path in urls:\n    u=urljoin('https://api.ailoot.ai',path);z=urlsplit(u)\n    if z.scheme!='https' or z.netloc!='api.ailoot.ai' or z.username or z.password:raise SystemExit('Use the actual returned Ailoot owned content URL')\n    target=Path('owned-'+label+'.bin')\n    subprocess.run(['curl','--fail-with-body','--silent','--show-error',u,'-H','Authorization: Bearer '+os.environ['AILOOT_API_KEY'],'-D',str(target)+'.headers','-o',str(target)],check=True)\nprint('All returned owned URLs saved; complete metadata, timing and usage remain in the JSON.')\nPY_ASSETS\n",
            "label": "Save every returned owned transcript",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-assets.json\n",
            "label": "List actual media assets",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_MEDIA_TASK_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_MEDIA_TASK_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_MEDIA_TASK_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/tasks/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-task.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-task.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual media task",
            "language": "bash"
          },
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_ASSET_ID:?Set the actual ID returned by the response or media-library metadata}\"\nexport AILOOT_ASSET_ID\nresource_id=$(python3 -c 'import os,urllib.parse;print(urllib.parse.quote(os.environ[\"AILOOT_ASSET_ID\"],safe=\"\"))')\ncurl --fail-with-body --silent --show-error \"https://api.ailoot.ai/v1/media/assets/$resource_id\" \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -o media-asset.json\npython3 - <<'PY_RESULT'\nimport json\nfrom pathlib import Path\nprint(json.dumps(json.loads(Path(\"media-asset.json\").read_text())))\nPY_RESULT\n",
            "label": "Read actual asset metadata",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "transcriptions",
        "hints": [
          "Use actual recording and matching format.",
          "Preserve full transcript, segments, speaker IDs and timing."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "audio"
        ],
        "label": "Распознавание речи",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [
          "/audio/transcriptions"
        ],
        "out": null,
        "output": [
          "transcription"
        ],
        "path": "/v1/audio/transcriptions",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "audio_input_token": 1.2e-05,
            "audio_output_token": 2e-05
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.012000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_input_token",
                "label": "audio input token",
                "native_amount_usd_per_unit": "0.000012",
                "native_quantity": 1,
                "native_unit": "audio_input_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "audio_input_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K audio tokens"
            },
            "label": "Ultra",
            "units": [
              {
                "amount": "0.02000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "audio_output_token",
                "label": "audio output token",
                "native_amount_usd_per_unit": "0.00002",
                "native_quantity": 1,
                "native_unit": "audio_output_token",
                "public_unit_label": "/ 1K audio tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "audio_output_token"
              }
            ]
          }
        ],
        "request_model_id": "openai/gpt-4o-transcribe-diarize",
        "route_label": "Ultra",
        "status_reads": [
          "GET /v1/media/tasks/{task_id}",
          "GET /v1/media/assets/{asset_id}/content"
        ],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.012000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_input_token",
            "label": "audio input token",
            "native_amount_usd_per_unit": "0.000012",
            "native_quantity": 1,
            "native_unit": "audio_input_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "audio_input_token"
          },
          {
            "amount": "0.02000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "audio_output_token",
            "label": "audio output token",
            "native_amount_usd_per_unit": "0.00002",
            "native_quantity": 1,
            "native_unit": "audio_output_token",
            "public_unit_label": "/ 1K audio tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "audio_output_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "openai/gpt-4o-transcribe-diarize",
        "request_model_id": "openai/gpt-4o-transcribe-diarize",
        "route_label": "Ultra"
      }
    ],
    "name": "gpt-4o-transcribe-diarize",
    "price": {
      "in": null,
      "in_label": null,
      "out": 0.02,
      "out_label": "/ 1K audio tokens",
      "sort_in": null,
      "sort_out": 0.02,
      "varies": true
    },
    "pricing_profiles": [],
    "public_id": "openai/gpt-4o-transcribe-diarize",
    "short": "GPT-4o Transcribe Diarize yozib olingan nutqni so‘zlovchi yorliqlari va vaqt ko‘rsatkichlari bilan segmentlarga ajratilgan matnga aylantiradi. U kim qachon gapirganini ko‘rsatadigan transkript kerak bo‘lgan yig‘ilishlar, intervyular va ko‘p kishili yozuvlar uchun mos; ma’lum so‘zlovchilar uchun qisqa ovoz namunalari ham berilishi mumkin."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "GPT-4o Transcribe Diarize yozib olingan nutqni so‘zlovchi yorliqlari va vaqt ko‘rsatkichlari bilan segmentlarga ajratilgan matnga aylantiradi. U kim qachon gapirganini ko‘rsatadigan transkript kerak bo‘lgan yig‘ilishlar, intervyular va ko‘p kishili yozuvlar uchun mos; ma’lum so‘zlovchilar uchun qisqa ovoz namunalari ham berilishi mumkin.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "adca2c492ff0772bb32c83835a8d0e8a977f710dbf6d7e72fa920c0d05f0c881",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "c2cb7ac306f50c499bc52e6ccafd97825a9d028e937923218985a72b7dcbc7d6"
}