{ "aboutHtml": "

ElevenLabs Scribe v2 Medical — tibbiy va klinik audio uchun ixtisoslashgan, nutqni paketli tanib olish nashri. U Scribe v2 asosida qo‘shimcha moslashtirilgan bo‘lib, umumiy nutqni matnga aylantirish jarayonini saqlagan holda dori nomlari, anatomiya, patologiya va klinik diktovkani tanib olishga qaratilgan. Berilgan yozuvni vaqt belgilari va ixtiyoriy so‘zlovchi izohlari bilan dastlabki matnga aylantiradi. Ishlab chiqaruvchi uni hujjatlashtirish va unga bog‘liq ma’muriy ish jarayonlari uchun mo‘ljallagan; foydalanishdan oldin matn tekshiriladi va tuzatiladi.

Mos kirish materiallari qatoriga shifokor va bemor o‘rtasidagi yozib olingan suhbat, og‘zaki diktovka, dastlabki qabul qo‘ng‘irog‘i yoki yordamni muvofiqlashtirish muhokamasi kiradi. Asl yozuvni hamda atamani kontekstda farqlash uchun uning atrofidagi yetarlicha nutqni saqlang. Signalning qirqilishiga yo‘l qo‘ymang va manbada mazmunli alohida so‘zlovchi kanallari bo‘lsa, ularni alohida saqlang. Ishlab chiqaruvchining umumiy paketli transkripsiya interfeysi WAV, MP3, FLAC va M4A kabi keng tarqalgan audio formatlarni qabul qiladi. Tibbiy terminlarga moslashtirish vazifaning yo‘nalishini yaxshilaydi; u yozuvda aniq yo‘q yoki eshitilmaydigan qismni tiklamaydi.

Ishlab chiqaruvchi Scribe v2 dagi kabi 90+ til qo‘llab-quvvatlanishini hujjatlashtirgan. Uning ochiq tibbiy transkripsiya ma’lumotlarida tibbiy aniqlikdagi yaxshilanishlar ingliz, fransuz va nemis tillarida o‘lchangani aytilgan. Bu natijalar barcha qo‘llab-quvvatlanadigan tillarda maxsus atamalar bir xil darajada tanilishini isbotlamaydi. Foydali bo‘lsa, ma’lum tilni ko‘rsating, ismlar va nutq ichidagi boshqa tildagi atamalarni saqlang; kam uchraydigan klinik lug‘atni gap ravon o‘qilgani uchungina qabul qilmay, asl audio bilan tekshiring.

Transkripsiya natijasi tanib olingan matn va vaqt belgilari qo‘yilgan so‘zlarni, shuningdek, ixtiyoriy so‘zlovchi yorliqlari va audio hodisa teglarini o‘z ichiga oladi. So‘zning boshlanish va tugash vaqti yozuvdagi dori nomiga, aytilgan miqdorga yoki tuzatishga qaytish imkonini beradi. Shu sababli foydali diktovka natijasi transkript va unga birga berilgan, so‘zlarga moslangan vaqt yozuvidan iborat bo‘ladi. Nozik tafsilotlarni ularning to‘liq og‘zaki kontekstida, jumladan inkor, noaniqlik va bemor bildirgan ma’lumot bilan shifokor aytgan ma’lumot o‘rtasidagi farqni hisobga olib tekshiring.

Tabiiy sharoitda qayd etilgan uchrashuvda so‘zlovchilarni ajratish kim qachon gapirganini tartibga solishga yordam beradi. Model chiqargan yorliqni nutqni guruhlash deb qabul qiling, keyin uchrashuv qaydlari asosida uni ma’lum rollar yoki shaxslar bilan bog‘lang. Bir vaqtda gapirgan yoki ovozi o‘xshash so‘zlovchilarda navbat almashishini tekshirishga alohida e’tibor kerak. Agar har bir yozuv kanalida bittadan so‘zlovchi bo‘lsa, umumiy paketli interfeys kanallarni mustaqil transkripsiya qilishni ham taqdim etadi. Kanalga asoslangan mansublikni aralash audiodan taxmin qilingan diarizatsiyadan ajrating va natijani tekshirishga yordam bersa, manbaning kanal tuzilishini saqlang.

Tayanch atamalar bilan yo‘naltirish kontekst yordamida tanib olishga ko‘maklashuvchi tegishli so‘z yoki iboralarni beradi. Yozuvda haqiqatan kutiladigan terminlar, jumladan hujjatlashtirish vazifasi uchun muhim to‘g‘ri yozilishlar va qisqartmalardan ixcham lug‘at tayyorlang. Ishlab chiqaruvchining paketli ishlov berish qo‘llanmasi 1,000 tagacha tayanch atamaga ruxsat beradi; ular aloqasiz keng lug‘at o‘rniga qisqa va tegishli bo‘lishi kerak. Muhim atamalarni ularning vaqt belgilarida tekshiring. Berilgan tayanch atama tanib olishga ishora bo‘lib xizmat qiladi; u so‘z aytilganining dalili ham, boshqa eshitiladigan atamani almashtirish buyrug‘i ham emas.

Ishlab chiqaruvchi transkript bilan birga ixtiyoriy ma’lumot obyektlarini aniqlashni, jumladan sog‘liq haqidagi ayrim ma’lumot toifalarini aniqlashni hujjatlashtirgan. Bunday izohlar vakolatli tekshiruv jarayoniga tegishli parchalarni tuzatish yoki ular bilan ishlash uchun topishda yordam berishi mumkin. Umumiy paketli interfeys aniqlangan matnni almashtiruvchi yorliqlar bilan niqoblaydigan obyektlarni yashirish imkonini ham beradi; buning uchun obyektlarni aniqlash zarur, yashirish yoqilganda esa obyektlar ro‘yxati chiqarilmaydi. Qaytarilgan matn va vaqt belgilarini tanlangan natijada mavjud izohlar bilan birga saqlang. Keyingi tahrir, xulosa yoki ma’lumot ajratish transkriptni alohida o‘zgartirish hisoblanadi va yozuvdagi ifoda bilan bog‘lanishni saqlashi kerak. Masalan, tartibga keltirilgan gap og‘zaki tuzatishni yo‘qotmasligi yoki noaniq fikrni qat’iy xulosaga aylantirmasligi kerak.

Tibbiy nashrning belgilangan vazifasi transkripsiyadir. Ishlab chiqaruvchi klinik ma’lumotni talqin qilish, tashxis, davolash tavsiyalari va klinik qarorga yo‘l-yo‘riq berishni uning mo‘ljallangan vazifasidan aniq chiqarib tashlaydi. Yakunlangan hujjatlashtirish jarayonida tegishli tibbiyot mutaxassisi yoki vakolatli tekshiruvchi dastlabki matnni yozuv bilan tekshiradi va muhim xatolarni tuzatadi. Model bu ishni qo‘llab-quvvatlash uchun matnli qaydni beradi; transkriptning o‘zi klinik bayonotning to‘g‘riligini isbotlamaydi va tekshiruv o‘rnini bosmaydi.

Vazifani tayyorlashda nashrlar o‘rtasidagi farqni aniq saqlang. Scribe v2 Medical yozib olingan audio bilan ishlaydi; Scribe v2 Realtime esa alohida jonli transkripsiya modelidir. Bir ishlab chiqaruvchi ovoz mahsulotlarini ham taklif qilgani tibbiy moslashtirilgan modelga nutq sintezi cheklovlari yoki imkoniyatlarini avtomatik bermaydi. Foydali natija — yozuvga mos vaqt va so‘zlovchi ma’lumotlari bilan tekshirilgan dastlabki transkript; unda eshitilmaydigan yoki noaniq tafsilotlar ishonarli klinik iboralar bilan yashirincha to‘ldirilmay, tuzatish uchun ko‘rinib turadi.

", "aboutText": "ElevenLabs Scribe v2 Medical — tibbiy va klinik audio uchun ixtisoslashgan, nutqni paketli tanib olish nashri. U Scribe v2 asosida qo‘shimcha moslashtirilgan bo‘lib, umumiy nutqni matnga aylantirish jarayonini saqlagan holda dori nomlari, anatomiya, patologiya va klinik diktovkani tanib olishga qaratilgan. Berilgan yozuvni vaqt belgilari va ixtiyoriy so‘zlovchi izohlari bilan dastlabki matnga aylantiradi. Ishlab chiqaruvchi uni hujjatlashtirish va unga bog‘liq ma’muriy ish jarayonlari uchun mo‘ljallagan; foydalanishdan oldin matn tekshiriladi va tuzatiladi.\n\nMos kirish materiallari qatoriga shifokor va bemor o‘rtasidagi yozib olingan suhbat, og‘zaki diktovka, dastlabki qabul qo‘ng‘irog‘i yoki yordamni muvofiqlashtirish muhokamasi kiradi. Asl yozuvni hamda atamani kontekstda farqlash uchun uning atrofidagi yetarlicha nutqni saqlang. Signalning qirqilishiga yo‘l qo‘ymang va manbada mazmunli alohida so‘zlovchi kanallari bo‘lsa, ularni alohida saqlang. Ishlab chiqaruvchining umumiy paketli transkripsiya interfeysi WAV, MP3, FLAC va M4A kabi keng tarqalgan audio formatlarni qabul qiladi. Tibbiy terminlarga moslashtirish vazifaning yo‘nalishini yaxshilaydi; u yozuvda aniq yo‘q yoki eshitilmaydigan qismni tiklamaydi.\n\nIshlab chiqaruvchi Scribe v2 dagi kabi 90+ til qo‘llab-quvvatlanishini hujjatlashtirgan. Uning ochiq tibbiy transkripsiya ma’lumotlarida tibbiy aniqlikdagi yaxshilanishlar ingliz, fransuz va nemis tillarida o‘lchangani aytilgan. Bu natijalar barcha qo‘llab-quvvatlanadigan tillarda maxsus atamalar bir xil darajada tanilishini isbotlamaydi. Foydali bo‘lsa, ma’lum tilni ko‘rsating, ismlar va nutq ichidagi boshqa tildagi atamalarni saqlang; kam uchraydigan klinik lug‘atni gap ravon o‘qilgani uchungina qabul qilmay, asl audio bilan tekshiring.\n\nTranskripsiya natijasi tanib olingan matn va vaqt belgilari qo‘yilgan so‘zlarni, shuningdek, ixtiyoriy so‘zlovchi yorliqlari va audio hodisa teglarini o‘z ichiga oladi. So‘zning boshlanish va tugash vaqti yozuvdagi dori nomiga, aytilgan miqdorga yoki tuzatishga qaytish imkonini beradi. Shu sababli foydali diktovka natijasi transkript va unga birga berilgan, so‘zlarga moslangan vaqt yozuvidan iborat bo‘ladi. Nozik tafsilotlarni ularning to‘liq og‘zaki kontekstida, jumladan inkor, noaniqlik va bemor bildirgan ma’lumot bilan shifokor aytgan ma’lumot o‘rtasidagi farqni hisobga olib tekshiring.\n\nTabiiy sharoitda qayd etilgan uchrashuvda so‘zlovchilarni ajratish kim qachon gapirganini tartibga solishga yordam beradi. Model chiqargan yorliqni nutqni guruhlash deb qabul qiling, keyin uchrashuv qaydlari asosida uni ma’lum rollar yoki shaxslar bilan bog‘lang. Bir vaqtda gapirgan yoki ovozi o‘xshash so‘zlovchilarda navbat almashishini tekshirishga alohida e’tibor kerak. Agar har bir yozuv kanalida bittadan so‘zlovchi bo‘lsa, umumiy paketli interfeys kanallarni mustaqil transkripsiya qilishni ham taqdim etadi. Kanalga asoslangan mansublikni aralash audiodan taxmin qilingan diarizatsiyadan ajrating va natijani tekshirishga yordam bersa, manbaning kanal tuzilishini saqlang.\n\nTayanch atamalar bilan yo‘naltirish kontekst yordamida tanib olishga ko‘maklashuvchi tegishli so‘z yoki iboralarni beradi. Yozuvda haqiqatan kutiladigan terminlar, jumladan hujjatlashtirish vazifasi uchun muhim to‘g‘ri yozilishlar va qisqartmalardan ixcham lug‘at tayyorlang. Ishlab chiqaruvchining paketli ishlov berish qo‘llanmasi 1,000 tagacha tayanch atamaga ruxsat beradi; ular aloqasiz keng lug‘at o‘rniga qisqa va tegishli bo‘lishi kerak. Muhim atamalarni ularning vaqt belgilarida tekshiring. Berilgan tayanch atama tanib olishga ishora bo‘lib xizmat qiladi; u so‘z aytilganining dalili ham, boshqa eshitiladigan atamani almashtirish buyrug‘i ham emas.\n\nIshlab chiqaruvchi transkript bilan birga ixtiyoriy ma’lumot obyektlarini aniqlashni, jumladan sog‘liq haqidagi ayrim ma’lumot toifalarini aniqlashni hujjatlashtirgan. Bunday izohlar vakolatli tekshiruv jarayoniga tegishli parchalarni tuzatish yoki ular bilan ishlash uchun topishda yordam berishi mumkin. Umumiy paketli interfeys aniqlangan matnni almashtiruvchi yorliqlar bilan niqoblaydigan obyektlarni yashirish imkonini ham beradi; buning uchun obyektlarni aniqlash zarur, yashirish yoqilganda esa obyektlar ro‘yxati chiqarilmaydi. Qaytarilgan matn va vaqt belgilarini tanlangan natijada mavjud izohlar bilan birga saqlang. Keyingi tahrir, xulosa yoki ma’lumot ajratish transkriptni alohida o‘zgartirish hisoblanadi va yozuvdagi ifoda bilan bog‘lanishni saqlashi kerak. Masalan, tartibga keltirilgan gap og‘zaki tuzatishni yo‘qotmasligi yoki noaniq fikrni qat’iy xulosaga aylantirmasligi kerak.\n\nTibbiy nashrning belgilangan vazifasi transkripsiyadir. Ishlab chiqaruvchi klinik ma’lumotni talqin qilish, tashxis, davolash tavsiyalari va klinik qarorga yo‘l-yo‘riq berishni uning mo‘ljallangan vazifasidan aniq chiqarib tashlaydi. Yakunlangan hujjatlashtirish jarayonida tegishli tibbiyot mutaxassisi yoki vakolatli tekshiruvchi dastlabki matnni yozuv bilan tekshiradi va muhim xatolarni tuzatadi. Model bu ishni qo‘llab-quvvatlash uchun matnli qaydni beradi; transkriptning o‘zi klinik bayonotning to‘g‘riligini isbotlamaydi va tekshiruv o‘rnini bosmaydi.\n\nVazifani tayyorlashda nashrlar o‘rtasidagi farqni aniq saqlang. Scribe v2 Medical yozib olingan audio bilan ishlaydi; Scribe v2 Realtime esa alohida jonli transkripsiya modelidir. Bir ishlab chiqaruvchi ovoz mahsulotlarini ham taklif qilgani tibbiy moslashtirilgan modelga nutq sintezi cheklovlari yoki imkoniyatlarini avtomatik bermaydi. Foydali natija — yozuvga mos vaqt va so‘zlovchi ma’lumotlari bilan tekshirilgan dastlabki transkript; unda eshitilmaydigan yoki noaniq tafsilotlar ishonarli klinik iboralar bilan yashirincha to‘ldirilmay, tuzatish uchun ko‘rinib turadi.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "51d7af65711e14fa456d23a4e00831607d543a2e78c0178a12fdf1451c72efb6", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
•

ElevenLabs: Scribe v2 Medical

ElevenLabs /elevenlabs/scribe-v2-medical

Boshlash

ElevenLabs Scribe v2 Medical yozib olingan klinik audioni dori nomlari, anatomiya va patologiyaga moslashtirilgan lug‘at yordamida matnga aylantiradi. U 90+ tilni, so‘z vaqtlarini, so‘zlovchilarni ajratishni va kontekstga oid tayanch atamalarni qo‘llab-quvvatlaydi. Natijasi klinik talqin emas, hujjatlashtirish uchun tekshiriladigan dastlabki transkriptdir.

Qabul qilinadigan kirish ma’lumotlari
Audio
Natijalar
Matn
Model haqida

Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.

ElevenLabs Scribe v2 Medical — tibbiy va klinik audio uchun ixtisoslashgan, nutqni paketli tanib olish nashri. U Scribe v2 asosida qo‘shimcha moslashtirilgan bo‘lib, umumiy nutqni matnga aylantirish jarayonini saqlagan holda dori nomlari, anatomiya, patologiya va klinik diktovkani tanib olishga qaratilgan. Berilgan yozuvni vaqt belgilari va ixtiyoriy so‘zlovchi izohlari bilan dastlabki matnga aylantiradi. Ishlab chiqaruvchi uni hujjatlashtirish va unga bog‘liq ma’muriy ish jarayonlari uchun mo‘ljallagan; foydalanishdan oldin matn tekshiriladi va tuzatiladi.

Mos kirish materiallari qatoriga shifokor va bemor o‘rtasidagi yozib olingan suhbat, og‘zaki diktovka, dastlabki qabul qo‘ng‘irog‘i yoki yordamni muvofiqlashtirish muhokamasi kiradi. Asl yozuvni hamda atamani kontekstda farqlash uchun uning atrofidagi yetarlicha nutqni saqlang. Signalning qirqilishiga yo‘l qo‘ymang va manbada mazmunli alohida so‘zlovchi kanallari bo‘lsa, ularni alohida saqlang. Ishlab chiqaruvchining umumiy paketli transkripsiya interfeysi WAV, MP3, FLAC va M4A kabi keng tarqalgan audio formatlarni qabul qiladi. Tibbiy terminlarga moslashtirish vazifaning yo‘nalishini yaxshilaydi; u yozuvda aniq yo‘q yoki eshitilmaydigan qismni tiklamaydi.

Ishlab chiqaruvchi Scribe v2 dagi kabi 90+ til qo‘llab-quvvatlanishini hujjatlashtirgan. Uning ochiq tibbiy transkripsiya ma’lumotlarida tibbiy aniqlikdagi yaxshilanishlar ingliz, fransuz va nemis tillarida o‘lchangani aytilgan. Bu natijalar barcha qo‘llab-quvvatlanadigan tillarda maxsus atamalar bir xil darajada tanilishini isbotlamaydi. Foydali bo‘lsa, ma’lum tilni ko‘rsating, ismlar va nutq ichidagi boshqa tildagi atamalarni saqlang; kam uchraydigan klinik lug‘atni gap ravon o‘qilgani uchungina qabul qilmay, asl audio bilan tekshiring.

Transkripsiya natijasi tanib olingan matn va vaqt belgilari qo‘yilgan so‘zlarni, shuningdek, ixtiyoriy so‘zlovchi yorliqlari va audio hodisa teglarini o‘z ichiga oladi. So‘zning boshlanish va tugash vaqti yozuvdagi dori nomiga, aytilgan miqdorga yoki tuzatishga qaytish imkonini beradi. Shu sababli foydali diktovka natijasi transkript va unga birga berilgan, so‘zlarga moslangan vaqt yozuvidan iborat bo‘ladi. Nozik tafsilotlarni ularning to‘liq og‘zaki kontekstida, jumladan inkor, noaniqlik va bemor bildirgan ma’lumot bilan shifokor aytgan ma’lumot o‘rtasidagi farqni hisobga olib tekshiring.

Tabiiy sharoitda qayd etilgan uchrashuvda so‘zlovchilarni ajratish kim qachon gapirganini tartibga solishga yordam beradi. Model chiqargan yorliqni nutqni guruhlash deb qabul qiling, keyin uchrashuv qaydlari asosida uni ma’lum rollar yoki shaxslar bilan bog‘lang. Bir vaqtda gapirgan yoki ovozi o‘xshash so‘zlovchilarda navbat almashishini tekshirishga alohida e’tibor kerak. Agar har bir yozuv kanalida bittadan so‘zlovchi bo‘lsa, umumiy paketli interfeys kanallarni mustaqil transkripsiya qilishni ham taqdim etadi. Kanalga asoslangan mansublikni aralash audiodan taxmin qilingan diarizatsiyadan ajrating va natijani tekshirishga yordam bersa, manbaning kanal tuzilishini saqlang.

Tayanch atamalar bilan yo‘naltirish kontekst yordamida tanib olishga ko‘maklashuvchi tegishli so‘z yoki iboralarni beradi. Yozuvda haqiqatan kutiladigan terminlar, jumladan hujjatlashtirish vazifasi uchun muhim to‘g‘ri yozilishlar va qisqartmalardan ixcham lug‘at tayyorlang. Ishlab chiqaruvchining paketli ishlov berish qo‘llanmasi 1,000 tagacha tayanch atamaga ruxsat beradi; ular aloqasiz keng lug‘at o‘rniga qisqa va tegishli bo‘lishi kerak. Muhim atamalarni ularning vaqt belgilarida tekshiring. Berilgan tayanch atama tanib olishga ishora bo‘lib xizmat qiladi; u so‘z aytilganining dalili ham, boshqa eshitiladigan atamani almashtirish buyrug‘i ham emas.

Ishlab chiqaruvchi transkript bilan birga ixtiyoriy ma’lumot obyektlarini aniqlashni, jumladan sog‘liq haqidagi ayrim ma’lumot toifalarini aniqlashni hujjatlashtirgan. Bunday izohlar vakolatli tekshiruv jarayoniga tegishli parchalarni tuzatish yoki ular bilan ishlash uchun topishda yordam berishi mumkin. Umumiy paketli interfeys aniqlangan matnni almashtiruvchi yorliqlar bilan niqoblaydigan obyektlarni yashirish imkonini ham beradi; buning uchun obyektlarni aniqlash zarur, yashirish yoqilganda esa obyektlar ro‘yxati chiqarilmaydi. Qaytarilgan matn va vaqt belgilarini tanlangan natijada mavjud izohlar bilan birga saqlang. Keyingi tahrir, xulosa yoki ma’lumot ajratish transkriptni alohida o‘zgartirish hisoblanadi va yozuvdagi ifoda bilan bog‘lanishni saqlashi kerak. Masalan, tartibga keltirilgan gap og‘zaki tuzatishni yo‘qotmasligi yoki noaniq fikrni qat’iy xulosaga aylantirmasligi kerak.

Tibbiy nashrning belgilangan vazifasi transkripsiyadir. Ishlab chiqaruvchi klinik ma’lumotni talqin qilish, tashxis, davolash tavsiyalari va klinik qarorga yo‘l-yo‘riq berishni uning mo‘ljallangan vazifasidan aniq chiqarib tashlaydi. Yakunlangan hujjatlashtirish jarayonida tegishli tibbiyot mutaxassisi yoki vakolatli tekshiruvchi dastlabki matnni yozuv bilan tekshiradi va muhim xatolarni tuzatadi. Model bu ishni qo‘llab-quvvatlash uchun matnli qaydni beradi; transkriptning o‘zi klinik bayonotning to‘g‘riligini isbotlamaydi va tekshiruv o‘rnini bosmaydi.

Vazifani tayyorlashda nashrlar o‘rtasidagi farqni aniq saqlang. Scribe v2 Medical yozib olingan audio bilan ishlaydi; Scribe v2 Realtime esa alohida jonli transkripsiya modelidir. Bir ishlab chiqaruvchi ovoz mahsulotlarini ham taklif qilgani tibbiy moslashtirilgan modelga nutq sintezi cheklovlari yoki imkoniyatlarini avtomatik bermaydi. Foydali natija — yozuvga mos vaqt va so‘zlovchi ma’lumotlari bilan tekshirilgan dastlabki transkript; unda eshitilmaydigan yoki noaniq tafsilotlar ishonarli klinik iboralar bilan yashirincha to‘ldirilmay, tuzatish uchun ko‘rinib turadi.

Ailoot da mavjud · kirish ma’lumotlari va usullar

Ailoot Ultra · Transkripsiya POST /v1/audio/transcriptions
Kirish
audio
Chiqish
text
MaydonTurTalabQiymatlar va cheklovlarStandart
MaydonmodelTurstringTalabMajburiyQiymatlar va cheklovlar
elevenlabs/scribe-v2-medical
Standart—
Maydoninput_audioTurobjectTalabMajburiyQiymatlar va cheklovlarStandart—
Usul parametrlari va hayot sikli
ParametrParametr talablari
Parametrcontent_typeParametr talablariapplication/json
ParametrrequiredParametr talablarimodel, input_audio
Parametrmaterial_typesParametr talablariaudio
Parametrmaterial_conditionsParametr talablariMisol haqiqiy, bo‘sh bo‘lmagan PCM WAV faylingizni o‘qiydi, faylning barcha baytlarini base64 ko‘rinishida kodlaydi va input_audio.format qiymatini wav qilib yuboradi.

Hayot sikli: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · mavjud, egalik qilinadigan media yozuvidan aniq task_id

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim
Ko‘rsatilmagan Tezkor rejim tanlanganda
Flex rejimi
Ko‘rsatilmagan flex rejimi tanlanganda
Maksimal fikrlash darajasi
Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

Ailoot tariflari

Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

SozlamaTariflar jadvaliHisob birligiTo‘lov
SozlamaTokenlar uchun bazaviy tariflarTariflar jadvaliAsosiy tarifHisob birligi—To‘lov
Kirish · Kirish tokenlari — / 1K token
Chiqish · Chiqish tokenlari — / 1K token
Kirish · Keshdan o‘qish — / 1K token
Kirish · Keshga yozish — / 1K token
Kirish · Keshga yozish, 1 soat — / 1K token
SozlamaKirish audiosi soniyasiTariflar jadvali—Hisob birligikirish audiosining soniyasi uchunTo‘lov
Kirish · Kirish audiosi soniyasi $0.0001222222222222 kirish audiosining soniyasi uchun

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. Summani band qilish va to‘lovni hisoblash tartibi →

So‘rov namunalari

Ailoot Ultra · Transkripsiya

set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\n: "${AILOOT_AUDIO_FILE:?Set the path to your actual PCM WAV recording}"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport base64, io, json, os, wave\nfrom pathlib import Path\naudio = Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4] == b'RIFF' and audio[8:12] == b'WAVE'):\n    raise SystemExit('Supply your actual PCM WAV audio file')\nwith wave.open(io.BytesIO(audio), 'rb') as recording:\n    if recording.getcomptype() != 'NONE' or recording.getnframes() <= 0:\n        raise SystemExit('Supply a nonempty PCM WAV recording')\nrequest = {'model': 'elevenlabs/scribe-v2-medical', 'input_audio': {'data': base64.b64encode(audio).decode('ascii'), 'format': 'wav'}}\nPath('request.json').write_text(json.dumps(request, ensure_ascii=False), encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o response.bin\n# Retain the complete original response, headers and actual X-Client-Request-ID.\n# Read existing owned records for recovery; do not resubmit an uncertain operation.\n

Natijalarni olish va saqlash

Ailoot Ultra · Transkripsiya

To‘liq dastlabki javob tanasi, holat va uzatilgan sarlavhalar. Bu ishlovchi universal JSON tuzilmasi, matn maydoni yoki vazifa o‘rovini qo‘shmaydi.

Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.

Asl javobni tekshirish kerak bo‘lsa

Haqiqiy X-Client-Request-ID va to‘liq javobni saqlang. Egalik qilinadigan dastlabki aktivlar va ularning aniq imzolangan mazmun URL larini o‘qing; natijasi noaniq yaratishni hech qachon qayta yubormang.

Javob maydonlari
MaydonTur
Maydontext (when present)Tur
Maydonusage (when present)Tur
Xatolar va keyingi qadamlar
JavobShartKeyingi qadam
Javob400 · invalid_request_errorShartJSON tanasi yoki ochiq ko‘rsatilgan kanonik model ID si yaroqsiz.Keyingi qadamJavobni saqlang va ko‘rsatilgan so‘rov maydonini tuzating.
Javob401 · authentication_errorShartAiloot API kaliti yaroqsiz.Keyingi qadamRuxsat berilgan Ailoot API kalitingizdan foydalaning.
Javob403 · permission_errorShartKalit guruhi bu usulga ruxsat bermaydi.Keyingi qadamQaytarilgan xato tafsilotlarini saqlang.
Javob404 · not_found_errorShartTanlangan usul uchun ruxsat etilgan yo‘nalish yo‘q.Keyingi qadamQaytarilgan xato tafsilotlarini saqlang.
Javob422 · price_unavailableShartQabul qilingan tarif zarur kirish miqdorini yoki chegarasini aniqlay olmaydi.Keyingi qadamJavobni saqlang; qabul qilingan tarif talab qiladigan kirish ko‘rinishidan foydalaning.
Javob503 · ShartZarur saqlov, yo‘nalish, usul narxi yoki mablag‘ni band qilish imkoniyati mavjud emas.Keyingi qadamTo‘liq dastlabki javobni saqlang. Noaniq mablag‘ band qilish qayta yuborishga ruxsat bermaydi.
Javob502 · server_errorShartDastlabki natija, foydalanish ma’lumoti yoki hisob-kitobni tekshirish talab qilinadi.Keyingi qadamHaqiqiy so‘rov ID si va dastlabki javobni saqlang. Mavjud, egalik qilinadigan yozuvni o‘qing; yaratishni qayta yubormang.

Taxalluslar

Model taxalluslari

Ailoot Ultra elevenlabs/scribe-v2-medical

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

elevenlabs/scribe-v2-medical

", "method_identity": { "effective_request_model_id": "elevenlabs/scribe-v2-medical", "fmt": "transcriptions", "http": "POST", "path": "/v1/audio/transcriptions", "request_model_id": "elevenlabs/scribe-v2-medical", "route_label": "Ultra" }, "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|elevenlabs%2Fscribe-v2-medical", "ordinal": 0, "rawMethod": { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.", "errors": [ { "code": null, "condition": "JSON tanasi yoki ochiq ko‘rsatilgan kanonik model ID si yaroqsiz.", "http_status": 400, "recovery": "Javobni saqlang va ko‘rsatilgan so‘rov maydonini tuzating.", "type": "invalid_request_error" }, { "code": null, "condition": "Ailoot API kaliti yaroqsiz.", "http_status": 401, "recovery": "Ruxsat berilgan Ailoot API kalitingizdan foydalaning.", "type": "authentication_error" }, { "code": null, "condition": "Kalit guruhi bu usulga ruxsat bermaydi.", "http_status": 403, "recovery": "Qaytarilgan xato tafsilotlarini saqlang.", "type": "permission_error" }, { "code": null, "condition": "Tanlangan usul uchun ruxsat etilgan yo‘nalish yo‘q.", "http_status": 404, "recovery": "Qaytarilgan xato tafsilotlarini saqlang.", "type": "not_found_error" }, { "code": null, "condition": "Qabul qilingan tarif zarur kirish miqdorini yoki chegarasini aniqlay olmaydi.", "http_status": 422, "recovery": "Javobni saqlang; qabul qilingan tarif talab qiladigan kirish ko‘rinishidan foydalaning.", "type": "price_unavailable" }, { "code": null, "condition": "Zarur saqlov, yo‘nalish, usul narxi yoki mablag‘ni band qilish imkoniyati mavjud emas.", "http_status": 503, "recovery": "To‘liq dastlabki javobni saqlang. Noaniq mablag‘ band qilish qayta yuborishga ruxsat bermaydi.", "type": null }, { "code": null, "condition": "Dastlabki natija, foydalanish ma’lumoti yoki hisob-kitobni tekshirish talab qilinadi.", "http_status": 502, "operation_id_source": "actual X-Client-Request-ID", "recovery": "Haqiqiy so‘rov ID si va dastlabki javobni saqlang. Mavjud, egalik qilinadigan yozuvni o‘qing; yaratishni qayta yubormang.", "response_headers": { "x-should-retry": "false" }, "type": "server_error" } ], "lifecycle": { "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 content URL" } ], "dedicated_method_polling_or_cancel": false, "mode": "synchronous_result_then_owned_library", "original_POST_adds_task_envelope": false, "status": [ { "http": "GET", "id_source": "exact task_id from an existing owned media record", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Haqiqiy X-Client-Request-ID va to‘liq javobni saqlang. Egalik qilinadigan dastlabki aktivlar va ularning aniq imzolangan mazmun URL larini o‘qing; natijasi noaniq yaratishni hech qachon qayta yubormang." }, "outputs": { "all_results": "To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.", "family": "text", "fields": [ { "description": null, "name": "text (when present)", "type": null }, { "description": null, "name": "usage (when present)", "type": null } ], "result": "To‘liq dastlabki javob tanasi, holat va uzatilgan sarlavhalar. Bu ishlovchi universal JSON tuzilmasi, matn maydoni yoki vazifa o‘rovini qo‘shmaydi." }, "parameters": [ { "default_known": false, "enum": [ "elevenlabs/scribe-v2-medical" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "name": "input_audio", "required": true, "type": "object" } ], "request_schema": { "properties": { "input_audio": { "properties": { "data": { "contentEncoding": "base64", "type": "string" }, "format": { "type": "string" } }, "required": [ "data", "format" ], "type": "object" }, "model": { "enum": [ "elevenlabs/scribe-v2-medical" ], "type": "string" } }, "required": [ "model", "input_audio" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": true, "body": { "input_audio": { "data": "${BASE64_ACTUAL_WAV_BYTES}", "format": "wav" }, "model": "elevenlabs/scribe-v2-medical" }, "content_type": "application/json" } }, "input": { "content_type": "application/json", "material_conditions": [ "Misol haqiqiy, bo‘sh bo‘lmagan PCM WAV faylingizni o‘qiydi, faylning barcha baytlarini base64 ko‘rinishida kodlaydi va input_audio.format qiymatini wav qilib yuboradi." ], "material_types": [ "audio" ], "required": [ "model", "input_audio" ] }, "lifecycle": { "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 content URL" } ], "dedicated_method_polling_or_cancel": false, "mode": "synchronous_result_then_owned_library", "original_POST_adds_task_envelope": false, "status": [ { "http": "GET", "id_source": "mavjud, egalik qilinadigan media yozuvidan aniq task_id", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Retain the actual X-Client-Request-ID and complete response. Read the original owned assets and their exact signed content URLs; never resubmit an uncertain creation." }, "method": { "http": "POST", "path": "/v1/audio/transcriptions" }, "output": { "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.", "family": "text", "fields": [ { "description": null, "name": "text (when present)", "type": null }, { "description": null, "name": "usage (when present)", "type": null } ], "result": "Complete original response body, status and forwarded headers. No universal JSON shape, text field or task envelope is added by this handler." } }, "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": "per input audio second" }, "label": "input audio second", "units": [ { "amount": "0.0001222222222222", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0001222222222222", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual PCM WAV recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport base64, io, json, os, wave\nfrom pathlib import Path\naudio = Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4] == b'RIFF' and audio[8:12] == b'WAVE'):\n raise SystemExit('Supply your actual PCM WAV audio file')\nwith wave.open(io.BytesIO(audio), 'rb') as recording:\n if recording.getcomptype() != 'NONE' or recording.getnframes() <= 0:\n raise SystemExit('Supply a nonempty PCM WAV recording')\nrequest = {'model': 'elevenlabs/scribe-v2-medical', 'input_audio': {'data': base64.b64encode(audio).decode('ascii'), 'format': 'wav'}}\nPath('request.json').write_text(json.dumps(request, ensure_ascii=False), encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o response.bin\n# Retain the complete original response, headers and actual X-Client-Request-ID.\n# Read existing owned records for recovery; do not resubmit an uncertain operation.\n", "label": "curl · actual WAV file and complete original result", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "transcriptions", "hints": [ "The example reads your actual nonempty PCM WAV file, encodes the complete file bytes as base64 and sends input_audio.format as wav.", "The format value in the example is the documented recipe; no model-specific format list, limit or default is asserted.", "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again." ], "http": "POST", "in": null, "input": [ "audio" ], "label": "Transkripsiya", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "native_endpoint": "audio_transcriptions", "out": null, "output": [ "text" ], "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_second": 0.0001222222222222 } }, "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": "per input audio second" }, "label": "input audio second", "units": [ { "amount": "0.0001222222222222", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0001222222222222", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ] } ], "request_model_id": "elevenlabs/scribe-v2-medical", "route_label": "Ultra", "status_reads": [ "GET /v1/media/tasks/{task_id}" ], "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": "0.0001222222222222", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0001222222222222", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ] } } ], "model_id": "elevenlabs/scribe-v2-medical", "nativeProvenance": { "input_facts_canonical_sha256": "fbf2cf2483c7ae1015c93643aa7efb51997dd9e3d3e9ddcef720a10ef3a13236", "input_html_sha256": "151b829a8a9ec214a889acdd1260400a975520beef64962b86cb43c66103f025", "private_audit_sha256": "bf8c46bf2fd63e8e95d2051b20af9fb00945fa9c81889ba0d683d91dae9ba783", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/elevenlabs-scribe-v2-medical/", "description": "ElevenLabs Scribe v2 Medical yozib olingan klinik audioni dori nomlari, anatomiya va patologiyaga moslashtirilgan lug‘at yordamida matnga aylantiradi. U 90+ tilni, so‘z vaqtlarini, so‘zlovchilarni ajratishni va kontekstga oid tayanch atamalarni qo‘llab-quvvatlaydi. Natijasi klinik talqin emas, hujjatlashtirish uchun tekshiriladigan dastlabki transkriptdir.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/elevenlabs-scribe-v2-medical/index.md", "title": "ElevenLabs: Scribe v2 Medical — Ailoot", "url": "https://ailoot.ai/models/uz/elevenlabs-scribe-v2-medical/" }, "rawModel": { "about": "ElevenLabs Scribe v2 Medical — tibbiy va klinik audio uchun ixtisoslashgan, nutqni paketli tanib olish nashri. U Scribe v2 asosida qo‘shimcha moslashtirilgan bo‘lib, umumiy nutqni matnga aylantirish jarayonini saqlagan holda dori nomlari, anatomiya, patologiya va klinik diktovkani tanib olishga qaratilgan. Berilgan yozuvni vaqt belgilari va ixtiyoriy so‘zlovchi izohlari bilan dastlabki matnga aylantiradi. Ishlab chiqaruvchi uni hujjatlashtirish va unga bog‘liq ma’muriy ish jarayonlari uchun mo‘ljallagan; foydalanishdan oldin matn tekshiriladi va tuzatiladi.\n\nMos kirish materiallari qatoriga shifokor va bemor o‘rtasidagi yozib olingan suhbat, og‘zaki diktovka, dastlabki qabul qo‘ng‘irog‘i yoki yordamni muvofiqlashtirish muhokamasi kiradi. Asl yozuvni hamda atamani kontekstda farqlash uchun uning atrofidagi yetarlicha nutqni saqlang. Signalning qirqilishiga yo‘l qo‘ymang va manbada mazmunli alohida so‘zlovchi kanallari bo‘lsa, ularni alohida saqlang. Ishlab chiqaruvchining umumiy paketli transkripsiya interfeysi WAV, MP3, FLAC va M4A kabi keng tarqalgan audio formatlarni qabul qiladi. Tibbiy terminlarga moslashtirish vazifaning yo‘nalishini yaxshilaydi; u yozuvda aniq yo‘q yoki eshitilmaydigan qismni tiklamaydi.\n\nIshlab chiqaruvchi Scribe v2 dagi kabi 90+ til qo‘llab-quvvatlanishini hujjatlashtirgan. Uning ochiq tibbiy transkripsiya ma’lumotlarida tibbiy aniqlikdagi yaxshilanishlar ingliz, fransuz va nemis tillarida o‘lchangani aytilgan. Bu natijalar barcha qo‘llab-quvvatlanadigan tillarda maxsus atamalar bir xil darajada tanilishini isbotlamaydi. Foydali bo‘lsa, ma’lum tilni ko‘rsating, ismlar va nutq ichidagi boshqa tildagi atamalarni saqlang; kam uchraydigan klinik lug‘atni gap ravon o‘qilgani uchungina qabul qilmay, asl audio bilan tekshiring.\n\nTranskripsiya natijasi tanib olingan matn va vaqt belgilari qo‘yilgan so‘zlarni, shuningdek, ixtiyoriy so‘zlovchi yorliqlari va audio hodisa teglarini o‘z ichiga oladi. So‘zning boshlanish va tugash vaqti yozuvdagi dori nomiga, aytilgan miqdorga yoki tuzatishga qaytish imkonini beradi. Shu sababli foydali diktovka natijasi transkript va unga birga berilgan, so‘zlarga moslangan vaqt yozuvidan iborat bo‘ladi. Nozik tafsilotlarni ularning to‘liq og‘zaki kontekstida, jumladan inkor, noaniqlik va bemor bildirgan ma’lumot bilan shifokor aytgan ma’lumot o‘rtasidagi farqni hisobga olib tekshiring.\n\nTabiiy sharoitda qayd etilgan uchrashuvda so‘zlovchilarni ajratish kim qachon gapirganini tartibga solishga yordam beradi. Model chiqargan yorliqni nutqni guruhlash deb qabul qiling, keyin uchrashuv qaydlari asosida uni ma’lum rollar yoki shaxslar bilan bog‘lang. Bir vaqtda gapirgan yoki ovozi o‘xshash so‘zlovchilarda navbat almashishini tekshirishga alohida e’tibor kerak. Agar har bir yozuv kanalida bittadan so‘zlovchi bo‘lsa, umumiy paketli interfeys kanallarni mustaqil transkripsiya qilishni ham taqdim etadi. Kanalga asoslangan mansublikni aralash audiodan taxmin qilingan diarizatsiyadan ajrating va natijani tekshirishga yordam bersa, manbaning kanal tuzilishini saqlang.\n\nTayanch atamalar bilan yo‘naltirish kontekst yordamida tanib olishga ko‘maklashuvchi tegishli so‘z yoki iboralarni beradi. Yozuvda haqiqatan kutiladigan terminlar, jumladan hujjatlashtirish vazifasi uchun muhim to‘g‘ri yozilishlar va qisqartmalardan ixcham lug‘at tayyorlang. Ishlab chiqaruvchining paketli ishlov berish qo‘llanmasi 1,000 tagacha tayanch atamaga ruxsat beradi; ular aloqasiz keng lug‘at o‘rniga qisqa va tegishli bo‘lishi kerak. Muhim atamalarni ularning vaqt belgilarida tekshiring. Berilgan tayanch atama tanib olishga ishora bo‘lib xizmat qiladi; u so‘z aytilganining dalili ham, boshqa eshitiladigan atamani almashtirish buyrug‘i ham emas.\n\nIshlab chiqaruvchi transkript bilan birga ixtiyoriy ma’lumot obyektlarini aniqlashni, jumladan sog‘liq haqidagi ayrim ma’lumot toifalarini aniqlashni hujjatlashtirgan. Bunday izohlar vakolatli tekshiruv jarayoniga tegishli parchalarni tuzatish yoki ular bilan ishlash uchun topishda yordam berishi mumkin. Umumiy paketli interfeys aniqlangan matnni almashtiruvchi yorliqlar bilan niqoblaydigan obyektlarni yashirish imkonini ham beradi; buning uchun obyektlarni aniqlash zarur, yashirish yoqilganda esa obyektlar ro‘yxati chiqarilmaydi. Qaytarilgan matn va vaqt belgilarini tanlangan natijada mavjud izohlar bilan birga saqlang. Keyingi tahrir, xulosa yoki ma’lumot ajratish transkriptni alohida o‘zgartirish hisoblanadi va yozuvdagi ifoda bilan bog‘lanishni saqlashi kerak. Masalan, tartibga keltirilgan gap og‘zaki tuzatishni yo‘qotmasligi yoki noaniq fikrni qat’iy xulosaga aylantirmasligi kerak.\n\nTibbiy nashrning belgilangan vazifasi transkripsiyadir. Ishlab chiqaruvchi klinik ma’lumotni talqin qilish, tashxis, davolash tavsiyalari va klinik qarorga yo‘l-yo‘riq berishni uning mo‘ljallangan vazifasidan aniq chiqarib tashlaydi. Yakunlangan hujjatlashtirish jarayonida tegishli tibbiyot mutaxassisi yoki vakolatli tekshiruvchi dastlabki matnni yozuv bilan tekshiradi va muhim xatolarni tuzatadi. Model bu ishni qo‘llab-quvvatlash uchun matnli qaydni beradi; transkriptning o‘zi klinik bayonotning to‘g‘riligini isbotlamaydi va tekshiruv o‘rnini bosmaydi.\n\nVazifani tayyorlashda nashrlar o‘rtasidagi farqni aniq saqlang. Scribe v2 Medical yozib olingan audio bilan ishlaydi; Scribe v2 Realtime esa alohida jonli transkripsiya modelidir. Bir ishlab chiqaruvchi ovoz mahsulotlarini ham taklif qilgani tibbiy moslashtirilgan modelga nutq sintezi cheklovlari yoki imkoniyatlarini avtomatik bermaydi. Foydali natija — yozuvga mos vaqt va so‘zlovchi ma’lumotlari bilan tekshirilgan dastlabki transkript; unda eshitilmaydigan yoki noaniq tafsilotlar ishonarli klinik iboralar bilan yashirincha to‘ldirilmay, tuzatish uchun ko‘rinib turadi.", "alias_of": null, "aliases": [], "author": "ElevenLabs", "capabilities": { "context_length": 0, "manufacturer_input": [ "audio" ], "manufacturer_output": [ "transcription" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.0001222222222222", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0001222222222222", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ], "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan." } ], "ctx": null, "formats": [ "transcriptions" ], "id": "elevenlabs/scribe-v2-medical", "input": [ "audio" ], "kind": "audio", "max_out": null, "methods": [ { "available": null, "cache_read": null, "cache_write": null, "cache_write_1h": null, "contract": { "data": { "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.", "errors": [ { "code": null, "condition": "JSON tanasi yoki ochiq ko‘rsatilgan kanonik model ID si yaroqsiz.", "http_status": 400, "recovery": "Javobni saqlang va ko‘rsatilgan so‘rov maydonini tuzating.", "type": "invalid_request_error" }, { "code": null, "condition": "Ailoot API kaliti yaroqsiz.", "http_status": 401, "recovery": "Ruxsat berilgan Ailoot API kalitingizdan foydalaning.", "type": "authentication_error" }, { "code": null, "condition": "Kalit guruhi bu usulga ruxsat bermaydi.", "http_status": 403, "recovery": "Qaytarilgan xato tafsilotlarini saqlang.", "type": "permission_error" }, { "code": null, "condition": "Tanlangan usul uchun ruxsat etilgan yo‘nalish yo‘q.", "http_status": 404, "recovery": "Qaytarilgan xato tafsilotlarini saqlang.", "type": "not_found_error" }, { "code": null, "condition": "Qabul qilingan tarif zarur kirish miqdorini yoki chegarasini aniqlay olmaydi.", "http_status": 422, "recovery": "Javobni saqlang; qabul qilingan tarif talab qiladigan kirish ko‘rinishidan foydalaning.", "type": "price_unavailable" }, { "code": null, "condition": "Zarur saqlov, yo‘nalish, usul narxi yoki mablag‘ni band qilish imkoniyati mavjud emas.", "http_status": 503, "recovery": "To‘liq dastlabki javobni saqlang. Noaniq mablag‘ band qilish qayta yuborishga ruxsat bermaydi.", "type": null }, { "code": null, "condition": "Dastlabki natija, foydalanish ma’lumoti yoki hisob-kitobni tekshirish talab qilinadi.", "http_status": 502, "operation_id_source": "actual X-Client-Request-ID", "recovery": "Haqiqiy so‘rov ID si va dastlabki javobni saqlang. Mavjud, egalik qilinadigan yozuvni o‘qing; yaratishni qayta yubormang.", "response_headers": { "x-should-retry": "false" }, "type": "server_error" } ], "lifecycle": { "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 content URL" } ], "dedicated_method_polling_or_cancel": false, "mode": "synchronous_result_then_owned_library", "original_POST_adds_task_envelope": false, "status": [ { "http": "GET", "id_source": "exact task_id from an existing owned media record", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Haqiqiy X-Client-Request-ID va to‘liq javobni saqlang. Egalik qilinadigan dastlabki aktivlar va ularning aniq imzolangan mazmun URL larini o‘qing; natijasi noaniq yaratishni hech qachon qayta yubormang." }, "outputs": { "all_results": "To‘liq javob va sarlavhalarni, amalda qaytarilgan barcha natijalarni, dastlab qaytarilgan identifikatorlarni hamda barcha usage maydonlarini saqlang. Yaratish so‘rovini qayta yubormasdan dastlabki operatsiyani tiklang.", "family": "text", "fields": [ { "description": null, "name": "text (when present)", "type": null }, { "description": null, "name": "usage (when present)", "type": null } ], "result": "To‘liq dastlabki javob tanasi, holat va uzatilgan sarlavhalar. Bu ishlovchi universal JSON tuzilmasi, matn maydoni yoki vazifa o‘rovini qo‘shmaydi." }, "parameters": [ { "default_known": false, "enum": [ "elevenlabs/scribe-v2-medical" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "default_known": false, "enum_known": false, "name": "input_audio", "required": true, "type": "object" } ], "request_schema": { "properties": { "input_audio": { "properties": { "data": { "contentEncoding": "base64", "type": "string" }, "format": { "type": "string" } }, "required": [ "data", "format" ], "type": "object" }, "model": { "enum": [ "elevenlabs/scribe-v2-medical" ], "type": "string" } }, "required": [ "model", "input_audio" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": true, "body": { "input_audio": { "data": "${BASE64_ACTUAL_WAV_BYTES}", "format": "wav" }, "model": "elevenlabs/scribe-v2-medical" }, "content_type": "application/json" } }, "input": { "content_type": "application/json", "material_conditions": [ "Misol haqiqiy, bo‘sh bo‘lmagan PCM WAV faylingizni o‘qiydi, faylning barcha baytlarini base64 ko‘rinishida kodlaydi va input_audio.format qiymatini wav qilib yuboradi." ], "material_types": [ "audio" ], "required": [ "model", "input_audio" ] }, "lifecycle": { "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 content URL" } ], "dedicated_method_polling_or_cancel": false, "mode": "synchronous_result_then_owned_library", "original_POST_adds_task_envelope": false, "status": [ { "http": "GET", "id_source": "mavjud, egalik qilinadigan media yozuvidan aniq task_id", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Retain the actual X-Client-Request-ID and complete response. Read the original owned assets and their exact signed content URLs; never resubmit an uncertain creation." }, "method": { "http": "POST", "path": "/v1/audio/transcriptions" }, "output": { "all_results": "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.", "family": "text", "fields": [ { "description": null, "name": "text (when present)", "type": null }, { "description": null, "name": "usage (when present)", "type": null } ], "result": "Complete original response body, status and forwarded headers. No universal JSON shape, text field or task envelope is added by this handler." } }, "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": "per input audio second" }, "label": "input audio second", "units": [ { "amount": "0.0001222222222222", "amount_unit": "usd_per_exact_native_unit", "billing_input": true, "estimate_only": false, "key": "audio_input_second", "label": "input audio second", "native_amount_usd_per_unit": "0.0001222222222222", "native_quantity": 1, "public_unit_label": "per input audio second", "quantity": 1, "quantity_is_estimate": false, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "audio_input_second" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual PCM WAV recording}\"\nexport AILOOT_AUDIO_FILE\npython3 - <<'PY_REQUEST'\nimport base64, io, json, os, wave\nfrom pathlib import Path\naudio = Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4] == b'RIFF' and audio[8:12] == b'WAVE'):\n raise SystemExit('Supply your actual PCM WAV audio file')\nwith wave.open(io.BytesIO(audio), 'rb') as recording:\n if recording.getcomptype() != 'NONE' or recording.getnframes() <= 0:\n raise SystemExit('Supply a nonempty PCM WAV recording')\nrequest = {'model': 'elevenlabs/scribe-v2-medical', 'input_audio': {'data': base64.b64encode(audio).decode('ascii'), 'format': 'wav'}}\nPath('request.json').write_text(json.dumps(request, ensure_ascii=False), encoding='utf-8')\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o response.bin\n# Retain the complete original response, headers and actual X-Client-Request-ID.\n# Read existing owned records for recovery; do not resubmit an uncertain operation.\n", "label": "curl · actual WAV file and complete original result", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "transcriptions", "hints": [ "The example reads your actual nonempty PCM WAV file, encodes the complete file bytes as base64 and sends input_audio.format as wav.", "The format value in the example is the documented recipe; no model-specific format list, limit or default is asserted.", "Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again." ], "http": "POST", "in": null, "input": [ "audio" ], "label": "Transkripsiya", "max_out": null, "max_reasoning_effort_multiplier": null, "method_aliases": [], "native_endpoint": "audio_transcriptions", "out": null, "output": [ "text" ], "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_second": 0.0001222222222222 } }, "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": 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