{ "aboutHtml": "

Google Chirp 3 — og‘zaki audioni matnga aylantiruvchi ko‘p tilli avtomatik nutqni tanish modeli. Google uni Speech-to-Text V2 oilasidagi chirp_3 model identifikatoriga ega Chirp 3 transkripsiya modeli sifatida hujjatlashtiradi. Uning maqsadi yozib olingan yoki oqim orqali uzatilgan nutqni tilni aniqlash va transkripsiyaga xos imkoniyatlar bilan tanishdir. Natija materiali yaratilgan nutq yoki ochiq shakldagi yordamchi javobi emas, transkript va tanlangan tanish usuli qo‘llab-quvvatlaydigan metama’lumotlardir.

Ishlab chiqaruvchi oqimli tanish, qisqa kliplar uchun sinxron tanish va uzunroq yozuvlar uchun paketli tanishni ajratadi. Rejimni manba audiosi va kerakli natijaga qarab tanlang. Qisqa ovozli xabar uchun yakunlangan matnli javob yetarli bo‘lishi mumkin. Intervyu yoki yozib olingan qo‘ng‘iroq uchun so‘zlovchi ma’lumotlariga ega paketli natija foydaliroq bo‘lishi mumkin. Jonli subtitrlar yoki ovozli buyruq interfeysida oraliq matnni yakuniy tanish natijasidan ajrating va u tasvirlaydigan audio oralig‘ini saqlang.

Audioni nutqni tanish dasturi kutadigan kodlashda tayyorlang. Google’ning Chirp 3 misollari yozib olingan fayllar uchun avtomatik aniqlanadigan dekodlashdan, xom oqimli konfiguratsiya uchun esa aniq ko‘rsatilgan dekodlashdan foydalanadi. Tegishli V2 dekoder ma’lumotnomasida qo‘llab-quvvatlanadigan kodlashlar orasida WAV PCM yoki kompandlangan audio, FLAC, MP3, Ogg/WebM Opus hamda MP4, M4A yoki MOV konteynerlaridagi AAC keltirilgan. Konteyner nomi haqiqiy kodek va namunalash konfiguratsiyasining o‘rnini bosmaydi. Nutqning tiniqligini saqlang va eshitiladigan tafsilotlarni yo‘qotadigan kuchli signal kesilishi yoki keraksiz format almashtirishdan saqlaning.

Chirp 3 asosiy tilni avtomatik aniqlab, transkripsiya qilishi mumkin, kutilgan til-hudud sozlamalari to‘plami esa uning tanish variantlarini toraytiradi. Tillar mavjudligi usul va imkoniyatga qarab farq qiladi. Transkripsiya tillari ro‘yxati so‘zlovchilarni ajratish ro‘yxatidan kengroq, shuning uchun bir til tanilishi unga barcha so‘zlovchi yoki vaqt imkoniyatlari tatbiq etilishini tasdiqlamaydi. Yozuvga mos til-hudud sozlamasidan foydalaning va boshqa tilga o‘tishlarda aytilgan ismlar yoki maxsus atamalarni tekshirish uchun saqlang. Aniqlangan til belgisi natijaning bir qismi bo‘lib, barcha noodatiy so‘zlar to‘g‘ri tanilganiga dalil emas.

So‘zlovchilarni ajratib belgilash bir kanalli yozuvdagi nutqni ovoz bo‘yicha guruhlaydi. Google har bir so‘z uchun so‘zlovchi ma’lumotini beruvchi paketli transkripsiya misolini taqdim etadi. Intervyuda bu belgilarni tanilgan matn bilan birga saqlang va haqiqiy ism yoki rollarni biriktirishdan oldin so‘zlovchi almashuvlarini yozuv bilan solishtiring. O‘xshash ovozlar, gapni bo‘lish va ustma-ust nutq kim aytganini belgilashni qiyinlashtirishi mumkin. Belgini mustaqil tekshirilgan shaxs identifikatsiyasi deb qabul qilish o‘rniga, manbaning kanal tuzilishini va so‘zlovchini tekshirish vazifasini aniq saqlang.

Vaqt ma’lumotlari ham usulga xos. Oqimli tanish nutq bo‘lagi darajasidagi vaqt belgilarini beradi, yaratuvchining faylni tanish bo‘yicha ko‘rsatmalarida esa transkripsiya sifatiga ehtimoliy salbiy ta’sir bilan ixtiyoriy so‘z vaqtlarini olish tavsiflangan. Tanlangan usul haqiqatan qaytargan metama’lumotlarni saqlang va matn bilan birga vaqt mosligini tekshiring. Subtitr tayyorlash jarayoniga ikkalasi ham kerak: o‘qishga qulay tanilgan matn va vaqt chegarasi to‘g‘ri tovushga mos kelishini ko‘rsatuvchi dalil. Google, shuningdek, qaytgan so‘z darajasidagi ishonch qiymati haqiqiy ishonch bahosi emasligini ogohlantiradi, shuning uchun undan so‘zning to‘g‘riligini tasdiqlash uchun foydalanmaslik kerak.

Nutqni moslashtirish yozuvda uchrashi ehtimol bo‘lgan iboralar va atoqli otlarni beradi. Yaratuvchi 1,000 tagacha iborali lug‘atni hujjatlashtiradi va boshqa atamalar tanilishini yomonlashtirmaslik uchun imkon qadar kam, tegishli yozuvlardan foydalanishni tavsiya qiladi. Texnik taqdimot uchun haqiqiy mahsulot nomlari va qisqartmalarning qisqa ro‘yxatini tayyorlang, so‘ng ularni transkriptda tekshiring. Atamaga ustunlik berish tanish jarayonida uni hisobga olishga yordam beradi; u atama aytilganini tasdiqlamaydi va audio bilan tekshirish o‘rnini bosmaydi.

Model avtomatik tinish belgilari va bosh harflarni taqdim etadi, hujjatlashtirilgan interfeys esa buni o‘chirishi mumkin. Google, shuningdek, muayyan ism yoki sana qanday yozilishi kabi maxsus transkripsiya formati ko‘rsatmalari uchun sinov funksiyasini tavsiflaydi. Bu ko‘rsatmalarni tanilgan nutqni formatlashga yo‘naltiring. Sanani standartlashtirgan yoki brendni bosh harf bilan yozgan transkript ham aytilgan ma’noni saqlashi kerak. Qisqacha bayon, tarjima yoki faktik tahlil transkriptdan keyingi foydalanish bo‘lib, tanish natijasining o‘zi tasdiqlaydigan narsa emas.

Ichki shovqin kamaytirgich fon musiqasi va yomg‘ir yoki ko‘cha shovqini kabi atrof-muhit tovushlarini pasaytirishga mo‘ljallangan. Google u fondagi inson ovozlarini olib tashlay olmasligini aniq bildiradi. Ustma-ust suhbatli yozuv tayyorlashda shu farqni saqlang. Tozaroq ko‘rinadigan transkript xalaqit beruvchi tovush olib tashlanganini isbotlaydi deb taxmin qilish o‘rniga, shovqinli va sokin bo‘limlarni manba bilan solishtirib tekshiring. Foydali natija tuzatish uchun noaniq parchalarni ajratib ko‘rsatadi.

Oqimli vazifalarda nutq yakunini aniqlash sezgirligi nutq bo‘lagi qachon tugagan deb hisoblanishini o‘zgartiradi. Yaratuvchi tobora qisqaroq kutiladigan nutq uchun standard, short va supershort sozlamalarini tavsiflaydi. Tezroq sozlama fikr o‘rtasida pauza qilgan so‘zlovchini muddatidan oldin uzib qo‘yishi mumkin. Sozlamani tabiiy diktovka, qisqa gap yoki juda qisqa buyruqqa moslang va transkript bilan yakuniy natija holatini saqlang. Tayyor faylda ismlar, miqdorlar, inkorlar va so‘zlovchi chegaralarini tekshiring, so‘ng natijani tekshirish yoki qayta foydalanish mumkin bo‘lishi uchun tanlangan rejim va manba audiosini saqlang.

", "aboutText": "Google Chirp 3 — og‘zaki audioni matnga aylantiruvchi ko‘p tilli avtomatik nutqni tanish modeli. Google uni Speech-to-Text V2 oilasidagi chirp_3 model identifikatoriga ega Chirp 3 transkripsiya modeli sifatida hujjatlashtiradi. Uning maqsadi yozib olingan yoki oqim orqali uzatilgan nutqni tilni aniqlash va transkripsiyaga xos imkoniyatlar bilan tanishdir. Natija materiali yaratilgan nutq yoki ochiq shakldagi yordamchi javobi emas, transkript va tanlangan tanish usuli qo‘llab-quvvatlaydigan metama’lumotlardir.\n\nIshlab chiqaruvchi oqimli tanish, qisqa kliplar uchun sinxron tanish va uzunroq yozuvlar uchun paketli tanishni ajratadi. Rejimni manba audiosi va kerakli natijaga qarab tanlang. Qisqa ovozli xabar uchun yakunlangan matnli javob yetarli bo‘lishi mumkin. Intervyu yoki yozib olingan qo‘ng‘iroq uchun so‘zlovchi ma’lumotlariga ega paketli natija foydaliroq bo‘lishi mumkin. Jonli subtitrlar yoki ovozli buyruq interfeysida oraliq matnni yakuniy tanish natijasidan ajrating va u tasvirlaydigan audio oralig‘ini saqlang.\n\nAudioni nutqni tanish dasturi kutadigan kodlashda tayyorlang. Google’ning Chirp 3 misollari yozib olingan fayllar uchun avtomatik aniqlanadigan dekodlashdan, xom oqimli konfiguratsiya uchun esa aniq ko‘rsatilgan dekodlashdan foydalanadi. Tegishli V2 dekoder ma’lumotnomasida qo‘llab-quvvatlanadigan kodlashlar orasida WAV PCM yoki kompandlangan audio, FLAC, MP3, Ogg/WebM Opus hamda MP4, M4A yoki MOV konteynerlaridagi AAC keltirilgan. Konteyner nomi haqiqiy kodek va namunalash konfiguratsiyasining o‘rnini bosmaydi. Nutqning tiniqligini saqlang va eshitiladigan tafsilotlarni yo‘qotadigan kuchli signal kesilishi yoki keraksiz format almashtirishdan saqlaning.\n\nChirp 3 asosiy tilni avtomatik aniqlab, transkripsiya qilishi mumkin, kutilgan til-hudud sozlamalari to‘plami esa uning tanish variantlarini toraytiradi. Tillar mavjudligi usul va imkoniyatga qarab farq qiladi. Transkripsiya tillari ro‘yxati so‘zlovchilarni ajratish ro‘yxatidan kengroq, shuning uchun bir til tanilishi unga barcha so‘zlovchi yoki vaqt imkoniyatlari tatbiq etilishini tasdiqlamaydi. Yozuvga mos til-hudud sozlamasidan foydalaning va boshqa tilga o‘tishlarda aytilgan ismlar yoki maxsus atamalarni tekshirish uchun saqlang. Aniqlangan til belgisi natijaning bir qismi bo‘lib, barcha noodatiy so‘zlar to‘g‘ri tanilganiga dalil emas.\n\nSo‘zlovchilarni ajratib belgilash bir kanalli yozuvdagi nutqni ovoz bo‘yicha guruhlaydi. Google har bir so‘z uchun so‘zlovchi ma’lumotini beruvchi paketli transkripsiya misolini taqdim etadi. Intervyuda bu belgilarni tanilgan matn bilan birga saqlang va haqiqiy ism yoki rollarni biriktirishdan oldin so‘zlovchi almashuvlarini yozuv bilan solishtiring. O‘xshash ovozlar, gapni bo‘lish va ustma-ust nutq kim aytganini belgilashni qiyinlashtirishi mumkin. Belgini mustaqil tekshirilgan shaxs identifikatsiyasi deb qabul qilish o‘rniga, manbaning kanal tuzilishini va so‘zlovchini tekshirish vazifasini aniq saqlang.\n\nVaqt ma’lumotlari ham usulga xos. Oqimli tanish nutq bo‘lagi darajasidagi vaqt belgilarini beradi, yaratuvchining faylni tanish bo‘yicha ko‘rsatmalarida esa transkripsiya sifatiga ehtimoliy salbiy ta’sir bilan ixtiyoriy so‘z vaqtlarini olish tavsiflangan. Tanlangan usul haqiqatan qaytargan metama’lumotlarni saqlang va matn bilan birga vaqt mosligini tekshiring. Subtitr tayyorlash jarayoniga ikkalasi ham kerak: o‘qishga qulay tanilgan matn va vaqt chegarasi to‘g‘ri tovushga mos kelishini ko‘rsatuvchi dalil. Google, shuningdek, qaytgan so‘z darajasidagi ishonch qiymati haqiqiy ishonch bahosi emasligini ogohlantiradi, shuning uchun undan so‘zning to‘g‘riligini tasdiqlash uchun foydalanmaslik kerak.\n\nNutqni moslashtirish yozuvda uchrashi ehtimol bo‘lgan iboralar va atoqli otlarni beradi. Yaratuvchi 1,000 tagacha iborali lug‘atni hujjatlashtiradi va boshqa atamalar tanilishini yomonlashtirmaslik uchun imkon qadar kam, tegishli yozuvlardan foydalanishni tavsiya qiladi. Texnik taqdimot uchun haqiqiy mahsulot nomlari va qisqartmalarning qisqa ro‘yxatini tayyorlang, so‘ng ularni transkriptda tekshiring. Atamaga ustunlik berish tanish jarayonida uni hisobga olishga yordam beradi; u atama aytilganini tasdiqlamaydi va audio bilan tekshirish o‘rnini bosmaydi.\n\nModel avtomatik tinish belgilari va bosh harflarni taqdim etadi, hujjatlashtirilgan interfeys esa buni o‘chirishi mumkin. Google, shuningdek, muayyan ism yoki sana qanday yozilishi kabi maxsus transkripsiya formati ko‘rsatmalari uchun sinov funksiyasini tavsiflaydi. Bu ko‘rsatmalarni tanilgan nutqni formatlashga yo‘naltiring. Sanani standartlashtirgan yoki brendni bosh harf bilan yozgan transkript ham aytilgan ma’noni saqlashi kerak. Qisqacha bayon, tarjima yoki faktik tahlil transkriptdan keyingi foydalanish bo‘lib, tanish natijasining o‘zi tasdiqlaydigan narsa emas.\n\nIchki shovqin kamaytirgich fon musiqasi va yomg‘ir yoki ko‘cha shovqini kabi atrof-muhit tovushlarini pasaytirishga mo‘ljallangan. Google u fondagi inson ovozlarini olib tashlay olmasligini aniq bildiradi. Ustma-ust suhbatli yozuv tayyorlashda shu farqni saqlang. Tozaroq ko‘rinadigan transkript xalaqit beruvchi tovush olib tashlanganini isbotlaydi deb taxmin qilish o‘rniga, shovqinli va sokin bo‘limlarni manba bilan solishtirib tekshiring. Foydali natija tuzatish uchun noaniq parchalarni ajratib ko‘rsatadi.\n\nOqimli vazifalarda nutq yakunini aniqlash sezgirligi nutq bo‘lagi qachon tugagan deb hisoblanishini o‘zgartiradi. Yaratuvchi tobora qisqaroq kutiladigan nutq uchun standard, short va supershort sozlamalarini tavsiflaydi. Tezroq sozlama fikr o‘rtasida pauza qilgan so‘zlovchini muddatidan oldin uzib qo‘yishi mumkin. Sozlamani tabiiy diktovka, qisqa gap yoki juda qisqa buyruqqa moslang va transkript bilan yakuniy natija holatini saqlang. Tayyor faylda ismlar, miqdorlar, inkorlar va so‘zlovchi chegaralarini tekshiring, so‘ng natijani tekshirish yoki qayta foydalanish mumkin bo‘lishi uchun tanlangan rejim va manba audiosini saqlang.", "editorialOverlay": { "copy_fields": null, "copy_sha256": null, "copy_source": null, "html_sha256": "3bb5fe9c508d6189becec2fc69037f3f3ff6c2b9f9311cef7a10a0f1f6fc82b4", "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06", "raw_model_unchanged": true, "schema": "ailoot-native-model-editorial-v1" }, "locale": "uz", "methods": [ { "html": "
G

Google: Chirp 3

Google /google/chirp-3

Boshlash

Google Chirp 3 — oqimli audio, qisqa yozuvlar va uzunroq yozuvlarni paketli transkripsiya qilish uchun ko‘p tilli nutqni tanish modeli. U tilni avtomatik aniqlash, tinish belgilari, lug‘atga moslashtirish hamda rejimga bog‘liq vaqt yoki so‘zlovchi metama’lumotlarini taqdim etadi. Uning shovqin kamaytirgichi fon shovqinini pasaytiradi, ammo boshqa ovozlarni olib tashlay olmaydi.

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.

Google Chirp 3 — og‘zaki audioni matnga aylantiruvchi ko‘p tilli avtomatik nutqni tanish modeli. Google uni Speech-to-Text V2 oilasidagi chirp_3 model identifikatoriga ega Chirp 3 transkripsiya modeli sifatida hujjatlashtiradi. Uning maqsadi yozib olingan yoki oqim orqali uzatilgan nutqni tilni aniqlash va transkripsiyaga xos imkoniyatlar bilan tanishdir. Natija materiali yaratilgan nutq yoki ochiq shakldagi yordamchi javobi emas, transkript va tanlangan tanish usuli qo‘llab-quvvatlaydigan metama’lumotlardir.

Ishlab chiqaruvchi oqimli tanish, qisqa kliplar uchun sinxron tanish va uzunroq yozuvlar uchun paketli tanishni ajratadi. Rejimni manba audiosi va kerakli natijaga qarab tanlang. Qisqa ovozli xabar uchun yakunlangan matnli javob yetarli bo‘lishi mumkin. Intervyu yoki yozib olingan qo‘ng‘iroq uchun so‘zlovchi ma’lumotlariga ega paketli natija foydaliroq bo‘lishi mumkin. Jonli subtitrlar yoki ovozli buyruq interfeysida oraliq matnni yakuniy tanish natijasidan ajrating va u tasvirlaydigan audio oralig‘ini saqlang.

Audioni nutqni tanish dasturi kutadigan kodlashda tayyorlang. Google’ning Chirp 3 misollari yozib olingan fayllar uchun avtomatik aniqlanadigan dekodlashdan, xom oqimli konfiguratsiya uchun esa aniq ko‘rsatilgan dekodlashdan foydalanadi. Tegishli V2 dekoder ma’lumotnomasida qo‘llab-quvvatlanadigan kodlashlar orasida WAV PCM yoki kompandlangan audio, FLAC, MP3, Ogg/WebM Opus hamda MP4, M4A yoki MOV konteynerlaridagi AAC keltirilgan. Konteyner nomi haqiqiy kodek va namunalash konfiguratsiyasining o‘rnini bosmaydi. Nutqning tiniqligini saqlang va eshitiladigan tafsilotlarni yo‘qotadigan kuchli signal kesilishi yoki keraksiz format almashtirishdan saqlaning.

Chirp 3 asosiy tilni avtomatik aniqlab, transkripsiya qilishi mumkin, kutilgan til-hudud sozlamalari to‘plami esa uning tanish variantlarini toraytiradi. Tillar mavjudligi usul va imkoniyatga qarab farq qiladi. Transkripsiya tillari ro‘yxati so‘zlovchilarni ajratish ro‘yxatidan kengroq, shuning uchun bir til tanilishi unga barcha so‘zlovchi yoki vaqt imkoniyatlari tatbiq etilishini tasdiqlamaydi. Yozuvga mos til-hudud sozlamasidan foydalaning va boshqa tilga o‘tishlarda aytilgan ismlar yoki maxsus atamalarni tekshirish uchun saqlang. Aniqlangan til belgisi natijaning bir qismi bo‘lib, barcha noodatiy so‘zlar to‘g‘ri tanilganiga dalil emas.

So‘zlovchilarni ajratib belgilash bir kanalli yozuvdagi nutqni ovoz bo‘yicha guruhlaydi. Google har bir so‘z uchun so‘zlovchi ma’lumotini beruvchi paketli transkripsiya misolini taqdim etadi. Intervyuda bu belgilarni tanilgan matn bilan birga saqlang va haqiqiy ism yoki rollarni biriktirishdan oldin so‘zlovchi almashuvlarini yozuv bilan solishtiring. O‘xshash ovozlar, gapni bo‘lish va ustma-ust nutq kim aytganini belgilashni qiyinlashtirishi mumkin. Belgini mustaqil tekshirilgan shaxs identifikatsiyasi deb qabul qilish o‘rniga, manbaning kanal tuzilishini va so‘zlovchini tekshirish vazifasini aniq saqlang.

Vaqt ma’lumotlari ham usulga xos. Oqimli tanish nutq bo‘lagi darajasidagi vaqt belgilarini beradi, yaratuvchining faylni tanish bo‘yicha ko‘rsatmalarida esa transkripsiya sifatiga ehtimoliy salbiy ta’sir bilan ixtiyoriy so‘z vaqtlarini olish tavsiflangan. Tanlangan usul haqiqatan qaytargan metama’lumotlarni saqlang va matn bilan birga vaqt mosligini tekshiring. Subtitr tayyorlash jarayoniga ikkalasi ham kerak: o‘qishga qulay tanilgan matn va vaqt chegarasi to‘g‘ri tovushga mos kelishini ko‘rsatuvchi dalil. Google, shuningdek, qaytgan so‘z darajasidagi ishonch qiymati haqiqiy ishonch bahosi emasligini ogohlantiradi, shuning uchun undan so‘zning to‘g‘riligini tasdiqlash uchun foydalanmaslik kerak.

Nutqni moslashtirish yozuvda uchrashi ehtimol bo‘lgan iboralar va atoqli otlarni beradi. Yaratuvchi 1,000 tagacha iborali lug‘atni hujjatlashtiradi va boshqa atamalar tanilishini yomonlashtirmaslik uchun imkon qadar kam, tegishli yozuvlardan foydalanishni tavsiya qiladi. Texnik taqdimot uchun haqiqiy mahsulot nomlari va qisqartmalarning qisqa ro‘yxatini tayyorlang, so‘ng ularni transkriptda tekshiring. Atamaga ustunlik berish tanish jarayonida uni hisobga olishga yordam beradi; u atama aytilganini tasdiqlamaydi va audio bilan tekshirish o‘rnini bosmaydi.

Model avtomatik tinish belgilari va bosh harflarni taqdim etadi, hujjatlashtirilgan interfeys esa buni o‘chirishi mumkin. Google, shuningdek, muayyan ism yoki sana qanday yozilishi kabi maxsus transkripsiya formati ko‘rsatmalari uchun sinov funksiyasini tavsiflaydi. Bu ko‘rsatmalarni tanilgan nutqni formatlashga yo‘naltiring. Sanani standartlashtirgan yoki brendni bosh harf bilan yozgan transkript ham aytilgan ma’noni saqlashi kerak. Qisqacha bayon, tarjima yoki faktik tahlil transkriptdan keyingi foydalanish bo‘lib, tanish natijasining o‘zi tasdiqlaydigan narsa emas.

Ichki shovqin kamaytirgich fon musiqasi va yomg‘ir yoki ko‘cha shovqini kabi atrof-muhit tovushlarini pasaytirishga mo‘ljallangan. Google u fondagi inson ovozlarini olib tashlay olmasligini aniq bildiradi. Ustma-ust suhbatli yozuv tayyorlashda shu farqni saqlang. Tozaroq ko‘rinadigan transkript xalaqit beruvchi tovush olib tashlanganini isbotlaydi deb taxmin qilish o‘rniga, shovqinli va sokin bo‘limlarni manba bilan solishtirib tekshiring. Foydali natija tuzatish uchun noaniq parchalarni ajratib ko‘rsatadi.

Oqimli vazifalarda nutq yakunini aniqlash sezgirligi nutq bo‘lagi qachon tugagan deb hisoblanishini o‘zgartiradi. Yaratuvchi tobora qisqaroq kutiladigan nutq uchun standard, short va supershort sozlamalarini tavsiflaydi. Tezroq sozlama fikr o‘rtasida pauza qilgan so‘zlovchini muddatidan oldin uzib qo‘yishi mumkin. Sozlamani tabiiy diktovka, qisqa gap yoki juda qisqa buyruqqa moslang va transkript bilan yakuniy natija holatini saqlang. Tayyor faylda ismlar, miqdorlar, inkorlar va so‘zlovchi chegaralarini tekshiring, so‘ng natijani tekshirish yoki qayta foydalanish mumkin bo‘lishi uchun tanlangan rejim va manba audiosini saqlang.

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
google/chirp-3
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 $0.000533333333334 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': 'google/chirp-3', '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 google/chirp-3

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

google/chirp-3

", "method_identity": { "effective_request_model_id": "google/chirp-3", "fmt": "transcriptions", "http": "POST", "path": "/v1/audio/transcriptions", "request_model_id": "google/chirp-3", "route_label": "Ultra" }, "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|google%2Fchirp-3", "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": [ "google/chirp-3" ], "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": [ "google/chirp-3" ], "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": "google/chirp-3" }, "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": "0.000533333333334", "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": "0.000533333333334", "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': 'google/chirp-3', '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": 0.000533333333334 } }, "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": "0.000533333333334", "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": "0.000533333333334", "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": "google/chirp-3", "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": "0.000533333333334", "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": "0.000533333333334", "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": "google/chirp-3", "nativeProvenance": { "input_facts_canonical_sha256": "f07504727bd08710fcd8fb5b55aabe27883bf753181e83da03ad21d888cd64dd", "input_html_sha256": "1a1670334a8cf0e064f51111790b83685b7566c003f02e59df708a3ede9f9e3a", "private_audit_sha256": "8acdc8aeab847c0c1ff749d694d38571db4782a1769a1e9d5417592d1e1bdd77", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/google-chirp-3/", "description": "Google Chirp 3 — oqimli audio, qisqa yozuvlar va uzunroq yozuvlarni paketli transkripsiya qilish uchun ko‘p tilli nutqni tanish modeli. U tilni avtomatik aniqlash, tinish belgilari, lug‘atga moslashtirish hamda rejimga bog‘liq vaqt yoki so‘zlovchi metama’lumotlarini taqdim etadi. Uning shovqin kamaytirgichi fon shovqinini pasaytiradi, ammo boshqa ovozlarni olib tashlay olmaydi.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/google-chirp-3/index.md", "title": "Google: Chirp 3 — Ailoot", "url": "https://ailoot.ai/models/uz/google-chirp-3/" }, "rawModel": { "about": "Google Chirp 3 — og‘zaki audioni matnga aylantiruvchi ko‘p tilli avtomatik nutqni tanish modeli. Google uni Speech-to-Text V2 oilasidagi chirp_3 model identifikatoriga ega Chirp 3 transkripsiya modeli sifatida hujjatlashtiradi. Uning maqsadi yozib olingan yoki oqim orqali uzatilgan nutqni tilni aniqlash va transkripsiyaga xos imkoniyatlar bilan tanishdir. Natija materiali yaratilgan nutq yoki ochiq shakldagi yordamchi javobi emas, transkript va tanlangan tanish usuli qo‘llab-quvvatlaydigan metama’lumotlardir.\n\nIshlab chiqaruvchi oqimli tanish, qisqa kliplar uchun sinxron tanish va uzunroq yozuvlar uchun paketli tanishni ajratadi. Rejimni manba audiosi va kerakli natijaga qarab tanlang. Qisqa ovozli xabar uchun yakunlangan matnli javob yetarli bo‘lishi mumkin. Intervyu yoki yozib olingan qo‘ng‘iroq uchun so‘zlovchi ma’lumotlariga ega paketli natija foydaliroq bo‘lishi mumkin. Jonli subtitrlar yoki ovozli buyruq interfeysida oraliq matnni yakuniy tanish natijasidan ajrating va u tasvirlaydigan audio oralig‘ini saqlang.\n\nAudioni nutqni tanish dasturi kutadigan kodlashda tayyorlang. Google’ning Chirp 3 misollari yozib olingan fayllar uchun avtomatik aniqlanadigan dekodlashdan, xom oqimli konfiguratsiya uchun esa aniq ko‘rsatilgan dekodlashdan foydalanadi. Tegishli V2 dekoder ma’lumotnomasida qo‘llab-quvvatlanadigan kodlashlar orasida WAV PCM yoki kompandlangan audio, FLAC, MP3, Ogg/WebM Opus hamda MP4, M4A yoki MOV konteynerlaridagi AAC keltirilgan. Konteyner nomi haqiqiy kodek va namunalash konfiguratsiyasining o‘rnini bosmaydi. Nutqning tiniqligini saqlang va eshitiladigan tafsilotlarni yo‘qotadigan kuchli signal kesilishi yoki keraksiz format almashtirishdan saqlaning.\n\nChirp 3 asosiy tilni avtomatik aniqlab, transkripsiya qilishi mumkin, kutilgan til-hudud sozlamalari to‘plami esa uning tanish variantlarini toraytiradi. Tillar mavjudligi usul va imkoniyatga qarab farq qiladi. Transkripsiya tillari ro‘yxati so‘zlovchilarni ajratish ro‘yxatidan kengroq, shuning uchun bir til tanilishi unga barcha so‘zlovchi yoki vaqt imkoniyatlari tatbiq etilishini tasdiqlamaydi. Yozuvga mos til-hudud sozlamasidan foydalaning va boshqa tilga o‘tishlarda aytilgan ismlar yoki maxsus atamalarni tekshirish uchun saqlang. Aniqlangan til belgisi natijaning bir qismi bo‘lib, barcha noodatiy so‘zlar to‘g‘ri tanilganiga dalil emas.\n\nSo‘zlovchilarni ajratib belgilash bir kanalli yozuvdagi nutqni ovoz bo‘yicha guruhlaydi. Google har bir so‘z uchun so‘zlovchi ma’lumotini beruvchi paketli transkripsiya misolini taqdim etadi. Intervyuda bu belgilarni tanilgan matn bilan birga saqlang va haqiqiy ism yoki rollarni biriktirishdan oldin so‘zlovchi almashuvlarini yozuv bilan solishtiring. O‘xshash ovozlar, gapni bo‘lish va ustma-ust nutq kim aytganini belgilashni qiyinlashtirishi mumkin. Belgini mustaqil tekshirilgan shaxs identifikatsiyasi deb qabul qilish o‘rniga, manbaning kanal tuzilishini va so‘zlovchini tekshirish vazifasini aniq saqlang.\n\nVaqt ma’lumotlari ham usulga xos. Oqimli tanish nutq bo‘lagi darajasidagi vaqt belgilarini beradi, yaratuvchining faylni tanish bo‘yicha ko‘rsatmalarida esa transkripsiya sifatiga ehtimoliy salbiy ta’sir bilan ixtiyoriy so‘z vaqtlarini olish tavsiflangan. Tanlangan usul haqiqatan qaytargan metama’lumotlarni saqlang va matn bilan birga vaqt mosligini tekshiring. Subtitr tayyorlash jarayoniga ikkalasi ham kerak: o‘qishga qulay tanilgan matn va vaqt chegarasi to‘g‘ri tovushga mos kelishini ko‘rsatuvchi dalil. Google, shuningdek, qaytgan so‘z darajasidagi ishonch qiymati haqiqiy ishonch bahosi emasligini ogohlantiradi, shuning uchun undan so‘zning to‘g‘riligini tasdiqlash uchun foydalanmaslik kerak.\n\nNutqni moslashtirish yozuvda uchrashi ehtimol bo‘lgan iboralar va atoqli otlarni beradi. Yaratuvchi 1,000 tagacha iborali lug‘atni hujjatlashtiradi va boshqa atamalar tanilishini yomonlashtirmaslik uchun imkon qadar kam, tegishli yozuvlardan foydalanishni tavsiya qiladi. Texnik taqdimot uchun haqiqiy mahsulot nomlari va qisqartmalarning qisqa ro‘yxatini tayyorlang, so‘ng ularni transkriptda tekshiring. Atamaga ustunlik berish tanish jarayonida uni hisobga olishga yordam beradi; u atama aytilganini tasdiqlamaydi va audio bilan tekshirish o‘rnini bosmaydi.\n\nModel avtomatik tinish belgilari va bosh harflarni taqdim etadi, hujjatlashtirilgan interfeys esa buni o‘chirishi mumkin. Google, shuningdek, muayyan ism yoki sana qanday yozilishi kabi maxsus transkripsiya formati ko‘rsatmalari uchun sinov funksiyasini tavsiflaydi. Bu ko‘rsatmalarni tanilgan nutqni formatlashga yo‘naltiring. Sanani standartlashtirgan yoki brendni bosh harf bilan yozgan transkript ham aytilgan ma’noni saqlashi kerak. Qisqacha bayon, tarjima yoki faktik tahlil transkriptdan keyingi foydalanish bo‘lib, tanish natijasining o‘zi tasdiqlaydigan narsa emas.\n\nIchki shovqin kamaytirgich fon musiqasi va yomg‘ir yoki ko‘cha shovqini kabi atrof-muhit tovushlarini pasaytirishga mo‘ljallangan. Google u fondagi inson ovozlarini olib tashlay olmasligini aniq bildiradi. Ustma-ust suhbatli yozuv tayyorlashda shu farqni saqlang. Tozaroq ko‘rinadigan transkript xalaqit beruvchi tovush olib tashlanganini isbotlaydi deb taxmin qilish o‘rniga, shovqinli va sokin bo‘limlarni manba bilan solishtirib tekshiring. Foydali natija tuzatish uchun noaniq parchalarni ajratib ko‘rsatadi.\n\nOqimli vazifalarda nutq yakunini aniqlash sezgirligi nutq bo‘lagi qachon tugagan deb hisoblanishini o‘zgartiradi. Yaratuvchi tobora qisqaroq kutiladigan nutq uchun standard, short va supershort sozlamalarini tavsiflaydi. Tezroq sozlama fikr o‘rtasida pauza qilgan so‘zlovchini muddatidan oldin uzib qo‘yishi mumkin. Sozlamani tabiiy diktovka, qisqa gap yoki juda qisqa buyruqqa moslang va transkript bilan yakuniy natija holatini saqlang. Tayyor faylda ismlar, miqdorlar, inkorlar va so‘zlovchi chegaralarini tekshiring, so‘ng natijani tekshirish yoki qayta foydalanish mumkin bo‘lishi uchun tanlangan rejim va manba audiosini saqlang.", "alias_of": null, "aliases": [], "author": "Google", "capabilities": { "context_length": 0, "manufacturer_input": [ "audio" ], "manufacturer_output": [ "transcription" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.000533333333334", "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": "0.000533333333334", "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": "google/chirp-3", "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": [ "google/chirp-3" ], "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": [ "google/chirp-3" ], "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": "google/chirp-3" }, "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": "0.000533333333334", "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": "0.000533333333334", "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': 'google/chirp-3', '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": 0.000533333333334 } }, "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, 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U tilni avtomatik aniqlash, tinish belgilari, lug‘atga moslashtirish hamda rejimga bog‘liq vaqt yoki so‘zlovchi metama’lumotlarini taqdim etadi. Uning shovqin kamaytirgichi fon shovqinini pasaytiradi, ammo boshqa ovozlarni olib tashlay olmaydi." }, "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": "Google Chirp 3 — oqimli audio, qisqa yozuvlar va uzunroq yozuvlarni paketli transkripsiya qilish uchun ko‘p tilli nutqni tanish modeli. U tilni avtomatik aniqlash, tinish belgilari, lug‘atga moslashtirish hamda rejimga bog‘liq vaqt yoki so‘zlovchi metama’lumotlarini taqdim etadi. Uning shovqin kamaytirgichi fon shovqinini pasaytiradi, ammo boshqa ovozlarni olib tashlay olmaydi.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "76ac1e911f19875ce8e7eb3f2c2cee45c736cf6c85c906ecf7701607af8163af", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "fcc55ea93e4f55fd730ef5352500bb9fbdb074e5f13c2b9dce0805933e799a80" }