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Microsoft AI MAI-Transcribe 1.5 — yozib olingan audioni yozma mazmunga aylantirish uchun nutqni matnga o‘girish modeli. Aynan uning tavsifi 43 tilda tanish, avtomatik til aniqlash hamda aksent, lahja, so‘zlash uslubi va shovqinli sharoitlarda barqarorlikni ko‘rsatadi. Nashr MAI-Transcribe 1’ning 25 tilli to‘plamiga o‘n sakkiz til qo‘shadi. Foydali natija — ma’ruza, intervyu, qo‘ng‘iroq yoki ovozli qayddagi yozma nutq; uni keyingi tahrir yoki tahlildan oldin yozuv bilan tekshirish mumkin.

Ishlab chiqaruvchi sanagan WAV, MP3 yoki FLAC formatlaridan birida to‘liq, tushunarli yozuv tayyorlang. Transkript audioga solishtirilishi uchun asl fayl va bo‘limlarga ajratish ma’lumotlarini saqlang. Ma’ruzada faqat qiyin so‘zni ajratish o‘rniga texnik atama atrofidagi iboralarni saqlang. Ovozli qaydda ism, vaqt yoki sonni o‘zgartiradigan tuzatishni saqlang. Atrofdagi nutq nima aytilganini tanish uchun kontekst beradi, tinglovchi tekshiruvi esa chiqishni qayerda tuzatish kerakligini aniqlashi mumkin.

Avtomatik til aniqlash yozuvni oldindan til tanlashni talab qilmasdan qayta ishlashga imkon beradi. 43 tilli to‘plamga ingliz, fransuz, nemis, italyan, ispan, hind, xitoy, yapon, koreys, arab, indonez, rus, tay va vyetnam tillari kiradi. Qo‘shilgan tillarga bolgar, katalan, yunon, ukrain va bir nechta Janubiy Osiyo tillari kiradi. MAI-Transcribe 2’ning kengroq qamrovini ko‘chirmasdan, kerakli til aynan shu nashr to‘plamida borligini tekshiring. Ko‘p tilli to‘plamlarda keyingi tahrir haqiqiy og‘zaki mazmunga amal qilishi uchun yozuv tilini tekshirilgan matn bilan saqlang.

1.5 tavsifi 200 tagacha atama bilan kalit so‘z yoki nomlangan obyektga yo‘naltirishni tavsiflaydi; reliz maqsadni tushuntiradi: ehtimoliy nomlar, qisqartmalar va maxsus so‘zlarni kontekst sifatida berish. Ishlab chiqaruvchi berilgan so‘zlarni natijaga ko‘r-ko‘rona majburlash emas, kontekstual ishoralarni tavsiflaydi. Loyiha nomi, texnik asbob yoki yozuvda muhokama qilingan odam ismining to‘g‘ri yozilishi kabi tegishli lug‘at tayyorlang. Shu atamalarni haqiqiy yozuv konteksti sifatida ishlating va tanilgan atamalarni nutq bilan tekshiring.

Yozib olingan muhandislik darsida muhokamadagi asboblar nomlari va har loyiha qisqartmasining aniq yozilishini tayyorlang. Ularni aniq yo‘naltirilgan atamalar ro‘yxatiga yozing va ro‘yxatni audio hamda transkript yonida saqlang. Lug‘at yozuvini moslik isboti deb ko‘rmasdan, shu atamalar uchragan joylarni og‘zaki parchalar bilan tekshiring. O‘xshash jaranglaydigan nomlar baribir tekshiruvga muhtoj bo‘lishi mumkin. Natija haqiqatan aytilgan so‘zlarni, jumladan ma’noni o‘zgartiradigan tuzatish yoki aniqlikni saqlashi kerak.

Ishlab chiqaruvchi haqiqiy sharoitdagi audio, jumladan fon shovqini va turli mikrofon sharoitidagi sifatni ta’kidlaydi. Amaliy tekshiruv bir vaqtda nutq, past ovozlar yoki boshqa tovush qisman yopgan so‘zlar bor parchalarga qaratilishi mumkin. Noaniqliklarni mavzu haqidagi farazlardan to‘ldirish o‘rniga tegishli audio parchasiga bog‘lang. Ishonarli jumlada ham noto‘g‘ri atoqli ot yoki son bo‘lishi mumkin. Qo‘ng‘iroq transkriptida foydali material qo‘ng‘iroq qiluvchi niyatining taxminiy hisobi emas, keyingi tahlil foydalana oladigan tekshirilgan og‘zaki mazmun qaydidir.

Aynan 1.5 model tavsifi maksimal fayl hajmini 300 MB va ikki soat deb ko‘rsatadi. Bog‘langan sinxron transkripsiya REST ma’lumotnomasi qat’iyroq xizmat kirishini tavsiflaydi: 250 MB’dan kichik va ikki soatdan qisqa. Bular model tavsifi va interfeysning alohida aytilgan limitlaridir. Fayllarni mo‘ljallangan interfeys limitiga mos tayyorlang va uzunroq materialni mazmunli yozuv chegaralari bo‘yicha tartiblang. Fayl hajmi limiti kodlangan audioga, davomiylik limiti nutq yozuvining uzunligiga tegishli; hech biri matn modelining kontekst oynasini belgilamaydi.

Model tavsifining namuna chiqishi yozuv davomiyligi va birlashtirilgan tanilgan matnni saqlovchi JSON’dir. Matn foydalanishga qulay transkript, subtitr ssenariysi yoki keyingi qisqa mazmun va qidiruv uchun kirishga aylanishi mumkin. Natijada kerakli vaqt ma’lumotlari bo‘lmasa, subtitr bo‘laklarini guruhlash va yozuvga moslashtirish alohida tayyorgarlikdir. Intervyu qaydlarida jumlani nomlangan qatnashchiga nisbat berish kim gapirganining alohida tekshirilgan qaydini talab qiladi. Tanilgan matn va audioni shu keyingi materiallar asosi sifatida saqlang.

Chiqishni rejalashda nashr chegaralari muhim. 1.5 tavsifi so‘zlovchilarni ajratishni qo‘llab-quvvatlanadigan imkoniyatlardan ochiq chiqaradi; ishlab chiqaruvchining versiya taqqoslashi so‘z darajasidagi vaqt belgilari va clean/verbatim uslub boshqaruvlarini MAI-Transcribe 2’ga beradi. Oqimli ishlashni bevosita qo‘llab-quvvatlaydigan model ham alohida nashr. Shu sabab 1.5 varianti boshqa nashrning so‘zlovchi, vaqt yoki jonli kirish xususiyatlarini natijaga qo‘shmasdan, yozuvlardan tanilgan matn va hujjatlashtirilgan soha kontekstiga qaratiladi. Iqtibos, subtitr yo‘lagi yoki hosila hujjatni tayyorlashdan oldin nomlar, sonlar, texnik atamalar va noaniq nutqni tekshiring.

", "aboutText": "Microsoft AI MAI-Transcribe 1.5 — yozib olingan audioni yozma mazmunga aylantirish uchun nutqni matnga o‘girish modeli. Aynan uning tavsifi 43 tilda tanish, avtomatik til aniqlash hamda aksent, lahja, so‘zlash uslubi va shovqinli sharoitlarda barqarorlikni ko‘rsatadi. Nashr MAI-Transcribe 1’ning 25 tilli to‘plamiga o‘n sakkiz til qo‘shadi. Foydali natija — ma’ruza, intervyu, qo‘ng‘iroq yoki ovozli qayddagi yozma nutq; uni keyingi tahrir yoki tahlildan oldin yozuv bilan tekshirish mumkin.\n\nIshlab chiqaruvchi sanagan WAV, MP3 yoki FLAC formatlaridan birida to‘liq, tushunarli yozuv tayyorlang. Transkript audioga solishtirilishi uchun asl fayl va bo‘limlarga ajratish ma’lumotlarini saqlang. Ma’ruzada faqat qiyin so‘zni ajratish o‘rniga texnik atama atrofidagi iboralarni saqlang. Ovozli qaydda ism, vaqt yoki sonni o‘zgartiradigan tuzatishni saqlang. Atrofdagi nutq nima aytilganini tanish uchun kontekst beradi, tinglovchi tekshiruvi esa chiqishni qayerda tuzatish kerakligini aniqlashi mumkin.\n\nAvtomatik til aniqlash yozuvni oldindan til tanlashni talab qilmasdan qayta ishlashga imkon beradi. 43 tilli to‘plamga ingliz, fransuz, nemis, italyan, ispan, hind, xitoy, yapon, koreys, arab, indonez, rus, tay va vyetnam tillari kiradi. Qo‘shilgan tillarga bolgar, katalan, yunon, ukrain va bir nechta Janubiy Osiyo tillari kiradi. MAI-Transcribe 2’ning kengroq qamrovini ko‘chirmasdan, kerakli til aynan shu nashr to‘plamida borligini tekshiring. Ko‘p tilli to‘plamlarda keyingi tahrir haqiqiy og‘zaki mazmunga amal qilishi uchun yozuv tilini tekshirilgan matn bilan saqlang.\n\n1.5 tavsifi 200 tagacha atama bilan kalit so‘z yoki nomlangan obyektga yo‘naltirishni tavsiflaydi; reliz maqsadni tushuntiradi: ehtimoliy nomlar, qisqartmalar va maxsus so‘zlarni kontekst sifatida berish. Ishlab chiqaruvchi berilgan so‘zlarni natijaga ko‘r-ko‘rona majburlash emas, kontekstual ishoralarni tavsiflaydi. Loyiha nomi, texnik asbob yoki yozuvda muhokama qilingan odam ismining to‘g‘ri yozilishi kabi tegishli lug‘at tayyorlang. Shu atamalarni haqiqiy yozuv konteksti sifatida ishlating va tanilgan atamalarni nutq bilan tekshiring.\n\nYozib olingan muhandislik darsida muhokamadagi asboblar nomlari va har loyiha qisqartmasining aniq yozilishini tayyorlang. Ularni aniq yo‘naltirilgan atamalar ro‘yxatiga yozing va ro‘yxatni audio hamda transkript yonida saqlang. Lug‘at yozuvini moslik isboti deb ko‘rmasdan, shu atamalar uchragan joylarni og‘zaki parchalar bilan tekshiring. O‘xshash jaranglaydigan nomlar baribir tekshiruvga muhtoj bo‘lishi mumkin. Natija haqiqatan aytilgan so‘zlarni, jumladan ma’noni o‘zgartiradigan tuzatish yoki aniqlikni saqlashi kerak.\n\nIshlab chiqaruvchi haqiqiy sharoitdagi audio, jumladan fon shovqini va turli mikrofon sharoitidagi sifatni ta’kidlaydi. Amaliy tekshiruv bir vaqtda nutq, past ovozlar yoki boshqa tovush qisman yopgan so‘zlar bor parchalarga qaratilishi mumkin. Noaniqliklarni mavzu haqidagi farazlardan to‘ldirish o‘rniga tegishli audio parchasiga bog‘lang. Ishonarli jumlada ham noto‘g‘ri atoqli ot yoki son bo‘lishi mumkin. Qo‘ng‘iroq transkriptida foydali material qo‘ng‘iroq qiluvchi niyatining taxminiy hisobi emas, keyingi tahlil foydalana oladigan tekshirilgan og‘zaki mazmun qaydidir.\n\nAynan 1.5 model tavsifi maksimal fayl hajmini 300 MB va ikki soat deb ko‘rsatadi. Bog‘langan sinxron transkripsiya REST ma’lumotnomasi qat’iyroq xizmat kirishini tavsiflaydi: 250 MB’dan kichik va ikki soatdan qisqa. Bular model tavsifi va interfeysning alohida aytilgan limitlaridir. Fayllarni mo‘ljallangan interfeys limitiga mos tayyorlang va uzunroq materialni mazmunli yozuv chegaralari bo‘yicha tartiblang. Fayl hajmi limiti kodlangan audioga, davomiylik limiti nutq yozuvining uzunligiga tegishli; hech biri matn modelining kontekst oynasini belgilamaydi.\n\nModel tavsifining namuna chiqishi yozuv davomiyligi va birlashtirilgan tanilgan matnni saqlovchi JSON’dir. Matn foydalanishga qulay transkript, subtitr ssenariysi yoki keyingi qisqa mazmun va qidiruv uchun kirishga aylanishi mumkin. Natijada kerakli vaqt ma’lumotlari bo‘lmasa, subtitr bo‘laklarini guruhlash va yozuvga moslashtirish alohida tayyorgarlikdir. Intervyu qaydlarida jumlani nomlangan qatnashchiga nisbat berish kim gapirganining alohida tekshirilgan qaydini talab qiladi. Tanilgan matn va audioni shu keyingi materiallar asosi sifatida saqlang.\n\nChiqishni rejalashda nashr chegaralari muhim. 1.5 tavsifi so‘zlovchilarni ajratishni qo‘llab-quvvatlanadigan imkoniyatlardan ochiq chiqaradi; ishlab chiqaruvchining versiya taqqoslashi so‘z darajasidagi vaqt belgilari va clean/verbatim uslub boshqaruvlarini MAI-Transcribe 2’ga beradi. 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•

Microsoft AI: MAI-Transcribe 1.5

Microsoft AI /microsoft/mai-transcribe-1.5

Boshlash

Microsoft AI MAI-Transcribe 1.5 avtomatik til aniqlash hamda aksentlar va shovqinli audioga e’tibor bilan yozib olingan nutqni 43 tilda matnga aylantiradi. Model tavsifi nomlar va maxsus atamalar uchun sohaga mos kalit so‘z yo‘naltirishini tavsiflaydi. Transkriptni tekshirilgan qaydlar yoki subtitrlar asosi sifatida ishlating.

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.

Microsoft AI MAI-Transcribe 1.5 — yozib olingan audioni yozma mazmunga aylantirish uchun nutqni matnga o‘girish modeli. Aynan uning tavsifi 43 tilda tanish, avtomatik til aniqlash hamda aksent, lahja, so‘zlash uslubi va shovqinli sharoitlarda barqarorlikni ko‘rsatadi. Nashr MAI-Transcribe 1’ning 25 tilli to‘plamiga o‘n sakkiz til qo‘shadi. Foydali natija — ma’ruza, intervyu, qo‘ng‘iroq yoki ovozli qayddagi yozma nutq; uni keyingi tahrir yoki tahlildan oldin yozuv bilan tekshirish mumkin.

Ishlab chiqaruvchi sanagan WAV, MP3 yoki FLAC formatlaridan birida to‘liq, tushunarli yozuv tayyorlang. Transkript audioga solishtirilishi uchun asl fayl va bo‘limlarga ajratish ma’lumotlarini saqlang. Ma’ruzada faqat qiyin so‘zni ajratish o‘rniga texnik atama atrofidagi iboralarni saqlang. Ovozli qaydda ism, vaqt yoki sonni o‘zgartiradigan tuzatishni saqlang. Atrofdagi nutq nima aytilganini tanish uchun kontekst beradi, tinglovchi tekshiruvi esa chiqishni qayerda tuzatish kerakligini aniqlashi mumkin.

Avtomatik til aniqlash yozuvni oldindan til tanlashni talab qilmasdan qayta ishlashga imkon beradi. 43 tilli to‘plamga ingliz, fransuz, nemis, italyan, ispan, hind, xitoy, yapon, koreys, arab, indonez, rus, tay va vyetnam tillari kiradi. Qo‘shilgan tillarga bolgar, katalan, yunon, ukrain va bir nechta Janubiy Osiyo tillari kiradi. MAI-Transcribe 2’ning kengroq qamrovini ko‘chirmasdan, kerakli til aynan shu nashr to‘plamida borligini tekshiring. Ko‘p tilli to‘plamlarda keyingi tahrir haqiqiy og‘zaki mazmunga amal qilishi uchun yozuv tilini tekshirilgan matn bilan saqlang.

1.5 tavsifi 200 tagacha atama bilan kalit so‘z yoki nomlangan obyektga yo‘naltirishni tavsiflaydi; reliz maqsadni tushuntiradi: ehtimoliy nomlar, qisqartmalar va maxsus so‘zlarni kontekst sifatida berish. Ishlab chiqaruvchi berilgan so‘zlarni natijaga ko‘r-ko‘rona majburlash emas, kontekstual ishoralarni tavsiflaydi. Loyiha nomi, texnik asbob yoki yozuvda muhokama qilingan odam ismining to‘g‘ri yozilishi kabi tegishli lug‘at tayyorlang. Shu atamalarni haqiqiy yozuv konteksti sifatida ishlating va tanilgan atamalarni nutq bilan tekshiring.

Yozib olingan muhandislik darsida muhokamadagi asboblar nomlari va har loyiha qisqartmasining aniq yozilishini tayyorlang. Ularni aniq yo‘naltirilgan atamalar ro‘yxatiga yozing va ro‘yxatni audio hamda transkript yonida saqlang. Lug‘at yozuvini moslik isboti deb ko‘rmasdan, shu atamalar uchragan joylarni og‘zaki parchalar bilan tekshiring. O‘xshash jaranglaydigan nomlar baribir tekshiruvga muhtoj bo‘lishi mumkin. Natija haqiqatan aytilgan so‘zlarni, jumladan ma’noni o‘zgartiradigan tuzatish yoki aniqlikni saqlashi kerak.

Ishlab chiqaruvchi haqiqiy sharoitdagi audio, jumladan fon shovqini va turli mikrofon sharoitidagi sifatni ta’kidlaydi. Amaliy tekshiruv bir vaqtda nutq, past ovozlar yoki boshqa tovush qisman yopgan so‘zlar bor parchalarga qaratilishi mumkin. Noaniqliklarni mavzu haqidagi farazlardan to‘ldirish o‘rniga tegishli audio parchasiga bog‘lang. Ishonarli jumlada ham noto‘g‘ri atoqli ot yoki son bo‘lishi mumkin. Qo‘ng‘iroq transkriptida foydali material qo‘ng‘iroq qiluvchi niyatining taxminiy hisobi emas, keyingi tahlil foydalana oladigan tekshirilgan og‘zaki mazmun qaydidir.

Aynan 1.5 model tavsifi maksimal fayl hajmini 300 MB va ikki soat deb ko‘rsatadi. Bog‘langan sinxron transkripsiya REST ma’lumotnomasi qat’iyroq xizmat kirishini tavsiflaydi: 250 MB’dan kichik va ikki soatdan qisqa. Bular model tavsifi va interfeysning alohida aytilgan limitlaridir. Fayllarni mo‘ljallangan interfeys limitiga mos tayyorlang va uzunroq materialni mazmunli yozuv chegaralari bo‘yicha tartiblang. Fayl hajmi limiti kodlangan audioga, davomiylik limiti nutq yozuvining uzunligiga tegishli; hech biri matn modelining kontekst oynasini belgilamaydi.

Model tavsifining namuna chiqishi yozuv davomiyligi va birlashtirilgan tanilgan matnni saqlovchi JSON’dir. Matn foydalanishga qulay transkript, subtitr ssenariysi yoki keyingi qisqa mazmun va qidiruv uchun kirishga aylanishi mumkin. Natijada kerakli vaqt ma’lumotlari bo‘lmasa, subtitr bo‘laklarini guruhlash va yozuvga moslashtirish alohida tayyorgarlikdir. Intervyu qaydlarida jumlani nomlangan qatnashchiga nisbat berish kim gapirganining alohida tekshirilgan qaydini talab qiladi. Tanilgan matn va audioni shu keyingi materiallar asosi sifatida saqlang.

Chiqishni rejalashda nashr chegaralari muhim. 1.5 tavsifi so‘zlovchilarni ajratishni qo‘llab-quvvatlanadigan imkoniyatlardan ochiq chiqaradi; ishlab chiqaruvchining versiya taqqoslashi so‘z darajasidagi vaqt belgilari va clean/verbatim uslub boshqaruvlarini MAI-Transcribe 2’ga beradi. Oqimli ishlashni bevosita qo‘llab-quvvatlaydigan model ham alohida nashr. Shu sabab 1.5 varianti boshqa nashrning so‘zlovchi, vaqt yoki jonli kirish xususiyatlarini natijaga qo‘shmasdan, yozuvlardan tanilgan matn va hujjatlashtirilgan soha kontekstiga qaratiladi. Iqtibos, subtitr yo‘lagi yoki hosila hujjatni tayyorlashdan oldin nomlar, sonlar, texnik atamalar va noaniq nutqni tekshiring.

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
microsoft/mai-transcribe-1.5
Standart—
Maydoninput_audioTurobjectTalabMajburiyQiymatlar va cheklovlarStandart—
MaydonlanguageTurstringTalabIxtiyoriyQiymatlar va cheklovlarStandart—
MaydontemperatureTurnumberTalabIxtiyoriyQiymatlar va cheklovlar
Eng kam: 0
Eng ko‘p: 1
Standart—
Maydonresponse_formatTurstringTalabIxtiyoriyQiymatlar va cheklovlar
json, verbose_json
Standartjson
Maydontimestamp_granularitiesTurarrayTalabIxtiyoriyQiymatlar va cheklovlarStandart—
MaydonproviderTurobjectTalabIxtiyoriyQiymatlar va cheklovlarStandart—
Usul parametrlari va hayot sikli
ParametrParametr talablari
Parametrcontent_typeParametr talablariapplication/json
ParametrrequiredParametr talablarimodel, input_audio
Parametrmaterial_typesParametr talablariaudio
Parametrmaterial_conditionsParametr talablariHaqiqiy WAV faylini o‘qing va e’lon qilingan JSON input_audio uchun uning haqiqiy baytlarini kodlang; faqat JSON uchun berilgan aynan shu deklaratsiyada multipart yo‘nalishi taklif qilinmaydi.

Hayot sikli: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv

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

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Tariflar

Yakuniy to‘lov qanday hisoblanadi

Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.

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

Taqqoslash uchun taxminiy tariflar

Sozlamalar bo‘yicha narxlar

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

SozlamaTariflar jadvaliPrognoz miqdoriHisob birligiTo‘lov
SozlamaTokenlar uchun bazaviy tariflarTariflar jadvaliAsosiy tarifPrognoz miqdori—Hisob birligi—To‘lov
Kirish · Kirish tokenlari · Faqat taqqoslash uchun taxmin — / 1K token
Chiqish · Chiqish tokenlari · Faqat taqqoslash uchun taxmin — / 1K token
Kirish · Keshdan o‘qish · Faqat taqqoslash uchun taxmin — / 1K token
Kirish · Keshga yozish · Faqat taqqoslash uchun taxmin — / 1K token
Kirish · Keshga yozish, 1 soat · Faqat taqqoslash uchun taxmin — / 1K token
SozlamaKirish audiosi soatiTariflar jadvali—Prognoz miqdori—Hisob birligikirish audiosining soati uchunTo‘lov
Kirish · Kirish audiosi soati · Faqat taqqoslash uchun taxmin $0.72 kirish audiosining soati uchun
SozlamaYaratishning taxminiy qiymatiTariflar jadvali—Prognoz miqdoribir generatsiya uchun taxminHisob birligi—To‘lov
Chiqish · Yaratishning taxminiy narxi · Faqat taqqoslash uchun taxmin $0.0002 yaratishdan oldingi taxmin

Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.

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 WAV recording}"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'microsoft/mai-transcribe-1.5', 'input_audio': {'data': '${BASE64_ACTUAL_WAV_BYTES}', 'format': 'wav'}}\nrequest['input_audio']['data']=base64.b64encode(audio).decode('ascii')\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# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n

Natijalarni olish va saqlash

Ailoot Ultra · Transkripsiya

Boshqa kontentni o‘qish
set -eu\n: "${AILOOT_API_KEY:?Set your Ailoot API key}"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n  -H "Authorization: Bearer $AILOOT_API_KEY" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n
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

Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini qayta yubormang.

Javob maydonlari
MaydonTur
MaydontextTur
MaydonusageTur
Maydonsegments[]Tur
Maydonwords[]Tur
Maydonspeaker fieldsTur
MaydontimestampsTur

Taxalluslar

Model taxalluslari

Ailoot Ultra microsoft/mai-transcribe-1.5

Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

Chaqirish uchun tegishli ID lar

microsoft/mai-transcribe-1.5

", "method_identity": { "effective_request_model_id": "microsoft/mai-transcribe-1.5", "fmt": "transcriptions", "http": "POST", "path": "/v1/audio/transcriptions", "request_model_id": "microsoft/mai-transcribe-1.5", "route_label": "Ultra" }, "method_key": "Ultra|transcriptions|/v1/audio/transcriptions|microsoft%2Fmai-transcribe-1.5", "ordinal": 0, "rawMethod": { "available": null, "billing_basis": { "basis": "original_invoice_usd", "description": "Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.", "forecast_quantity_is_estimate": true, "physical_output_is_billable_quantity": false, "version": "original_invoice_usd_v1" }, "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.", "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 URL; never construct token" } ], "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "status": [ { "http": "GET", "id_source": "actual returned task_id or media library record", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini 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", "type": null }, { "description": null, "name": "usage", "type": null }, { "description": null, "name": "segments[]", "type": null }, { "description": null, "name": "words[]", "type": null }, { "description": null, "name": "speaker fields", "type": null }, { "description": null, "name": "timestamps", "type": null } ] }, "parameters": [ { "enum": [ "microsoft/mai-transcribe-1.5" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "name": "input_audio", "required": true, "type": "object" }, { "name": "language", "required": false, "type": "string" }, { "maximum": 1, "minimum": 0, "name": "temperature", "required": false, "type": "number" }, { "default": "json", "default_known": true, "enum": [ "json", "verbose_json" ], "enum_known": true, "name": "response_format", "required": false, "type": "string" }, { "items": { "enum": [ "segment", "word" ], "type": "string" }, "name": "timestamp_granularities", "required": false, "type": "array" }, { "name": "provider", "required": false, "type": "object" } ], "request_schema": { "properties": { "input_audio": { "properties": { "data": { "contentEncoding": "base64", "type": "string" }, "format": { "enum": [ "wav", "mp3", "flac", "m4a", "ogg", "webm", "aac" ], "type": "string" } }, "required": [ "data", "format" ], "type": "object" }, "language": { "description": "ISO-639-1 code; omitted means auto-detection", "type": "string" }, "model": { "enum": [ "microsoft/mai-transcribe-1.5" ], "type": "string" }, "provider": { "description": "Data policy and exact provider options; order/only/ignore are not applied to STT", "properties": { "data_collection": { "enum": [ "allow", "deny", null ], "type": [ "string", "null" ] }, "options": { "type": "object" }, "zdr": { "type": [ "boolean", "null" ] } }, "type": "object" }, "response_format": { "default": "json", "description": "verbose_json requires exact model/provider support", "enum": [ "json", "verbose_json" ], "type": "string" }, "temperature": { "maximum": 1, "minimum": 0, "type": "number" }, "timestamp_granularities": { "description": "Only used with supported verbose_json", "items": { "enum": [ "segment", "word" ], "type": "string" }, "type": "array" } }, "required": [ "model", "input_audio" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": true, "body": { "input_audio": { "data": "${BASE64_ACTUAL_WAV_BYTES}", "format": "wav" }, "model": "microsoft/mai-transcribe-1.5" }, "content_type": "application/json" } }, "input": { "content_type": "application/json", "material_conditions": [ "Haqiqiy WAV faylini o‘qing va e’lon qilingan JSON input_audio uchun uning haqiqiy baytlarini kodlang; faqat JSON uchun berilgan aynan shu deklaratsiyada multipart yo‘nalishi taklif qilinmaydi." ], "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 URL; never construct token" } ], "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "status": [ { "http": "GET", "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit 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", "type": null }, { "description": null, "name": "usage", "type": null }, { "description": null, "name": "segments[]", "type": null }, { "description": null, "name": "words[]", "type": null }, { "description": null, "name": "speaker fields", "type": null }, { "description": null, "name": "timestamps", "type": null } ] } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "per input audio hour" }, "label": "input audio hour", "units": [ { "amount": "0.72", "amount_unit": "usd_per_exact_native_unit", "billing_input": false, "estimate_only": true, "key": "stt_hour", "label": "input audio hour", "native_amount_usd_per_unit": "0.72", "native_quantity": 1, "public_unit_label": "per input audio hour", "quantity": 1, "quantity_is_estimate": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "stt_hour" } ] }, { "basis": "Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.", "dimensions": { "forecast_quantity": "one generation estimate" }, "label": "Yaratishning taxminiy qiymati", "units": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": false, "estimate_only": true, "key": "forecast_usd", "label": "Estimated generation cost", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "estimate before generation", "quantity": 1, "quantity_is_estimate": true, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "request_estimate" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'microsoft/mai-transcribe-1.5', 'input_audio': {'data': '${BASE64_ACTUAL_WAV_BYTES}', 'format': 'wav'}}\nrequest['input_audio']['data']=base64.b64encode(audio).decode('ascii')\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 $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n", "label": "curl · exact native body and complete result", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n", "label": "Read existing owned assets", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "transcriptions", "hints": [ "Use the exact caller model ID and documented input representation.", "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": "original_invoice_usd", "image_input_price": null, "image_output_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "per input audio hour" }, "label": "input audio hour", "units": [ { "amount": "0.72", "amount_unit": "usd_per_exact_native_unit", "billing_input": false, "estimate_only": true, "key": "stt_hour", "label": "input audio hour", "native_amount_usd_per_unit": "0.72", "native_quantity": 1, "public_unit_label": "per input audio hour", "quantity": 1, "quantity_is_estimate": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "stt_hour" } ] }, { "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.", "dimensions": { "forecast_quantity": "one generation estimate" }, "label": "Estimated generation cost", "units": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": false, "estimate_only": true, "key": "forecast_usd", "label": "Estimated generation cost", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "estimate before generation", "quantity": 1, "quantity_is_estimate": true, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "request_estimate" } ] } ], "request_model_id": "microsoft/mai-transcribe-1.5", "route_label": "Ultra", "status_reads": [ "GET /v1/media/tasks/{task_id}" ], "tiers": [], "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" }, { "amount": "0.72", "amount_unit": "usd_per_exact_native_unit", "billing_input": false, "estimate_only": true, "key": "stt_hour", "label": "input audio hour", "native_amount_usd_per_unit": "0.72", "native_quantity": 1, "public_unit_label": "per input audio hour", "quantity": 1, "quantity_is_estimate": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "stt_hour" }, { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": false, "estimate_only": true, "key": "forecast_usd", "label": "Estimated generation cost", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "estimate before generation", "quantity": 1, "quantity_is_estimate": true, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "request_estimate" } ] } } ], "model_id": "microsoft/mai-transcribe-1.5", "nativeProvenance": { "input_facts_canonical_sha256": "23df5db763ed4d5976ce615d38cabea8cf58898e38356e68000deb4dc3eb9a89", "input_html_sha256": "0f95f1d207c9536d1290d84d20cbfe1a7a00c3885447e7bd9f638a3e4de97922", "private_audit_sha256": "a307140d8b9dee7ce2a9492403b9212ed6feb693a770afaaccb3fa2bbca654bd", "role": "historical-normalized-input-audit-hashes", "schema": "ailoot-native-model-provenance-v2" }, "page": { "canonical": "https://ailoot.ai/models/uz/microsoft-mai-transcribe-1-5/", "description": "Microsoft AI MAI-Transcribe 1.5 avtomatik til aniqlash hamda aksentlar va shovqinli audioga e’tibor bilan yozib olingan nutqni 43 tilda matnga aylantiradi. Model tavsifi nomlar va maxsus atamalar uchun sohaga mos kalit so‘z yo‘naltirishini tavsiflaydi. Transkriptni tekshirilgan qaydlar yoki subtitrlar asosi sifatida ishlating.", "locale": "uz", "md_url": "https://ailoot.ai/models/uz/microsoft-mai-transcribe-1-5/index.md", "title": "Microsoft AI: MAI-Transcribe 1.5 — Ailoot", "url": "https://ailoot.ai/models/uz/microsoft-mai-transcribe-1-5/" }, "rawModel": { "about": "Microsoft AI MAI-Transcribe 1.5 — yozib olingan audioni yozma mazmunga aylantirish uchun nutqni matnga o‘girish modeli. Aynan uning tavsifi 43 tilda tanish, avtomatik til aniqlash hamda aksent, lahja, so‘zlash uslubi va shovqinli sharoitlarda barqarorlikni ko‘rsatadi. Nashr MAI-Transcribe 1’ning 25 tilli to‘plamiga o‘n sakkiz til qo‘shadi. Foydali natija — ma’ruza, intervyu, qo‘ng‘iroq yoki ovozli qayddagi yozma nutq; uni keyingi tahrir yoki tahlildan oldin yozuv bilan tekshirish mumkin.\n\nIshlab chiqaruvchi sanagan WAV, MP3 yoki FLAC formatlaridan birida to‘liq, tushunarli yozuv tayyorlang. Transkript audioga solishtirilishi uchun asl fayl va bo‘limlarga ajratish ma’lumotlarini saqlang. Ma’ruzada faqat qiyin so‘zni ajratish o‘rniga texnik atama atrofidagi iboralarni saqlang. Ovozli qaydda ism, vaqt yoki sonni o‘zgartiradigan tuzatishni saqlang. Atrofdagi nutq nima aytilganini tanish uchun kontekst beradi, tinglovchi tekshiruvi esa chiqishni qayerda tuzatish kerakligini aniqlashi mumkin.\n\nAvtomatik til aniqlash yozuvni oldindan til tanlashni talab qilmasdan qayta ishlashga imkon beradi. 43 tilli to‘plamga ingliz, fransuz, nemis, italyan, ispan, hind, xitoy, yapon, koreys, arab, indonez, rus, tay va vyetnam tillari kiradi. Qo‘shilgan tillarga bolgar, katalan, yunon, ukrain va bir nechta Janubiy Osiyo tillari kiradi. MAI-Transcribe 2’ning kengroq qamrovini ko‘chirmasdan, kerakli til aynan shu nashr to‘plamida borligini tekshiring. Ko‘p tilli to‘plamlarda keyingi tahrir haqiqiy og‘zaki mazmunga amal qilishi uchun yozuv tilini tekshirilgan matn bilan saqlang.\n\n1.5 tavsifi 200 tagacha atama bilan kalit so‘z yoki nomlangan obyektga yo‘naltirishni tavsiflaydi; reliz maqsadni tushuntiradi: ehtimoliy nomlar, qisqartmalar va maxsus so‘zlarni kontekst sifatida berish. Ishlab chiqaruvchi berilgan so‘zlarni natijaga ko‘r-ko‘rona majburlash emas, kontekstual ishoralarni tavsiflaydi. Loyiha nomi, texnik asbob yoki yozuvda muhokama qilingan odam ismining to‘g‘ri yozilishi kabi tegishli lug‘at tayyorlang. Shu atamalarni haqiqiy yozuv konteksti sifatida ishlating va tanilgan atamalarni nutq bilan tekshiring.\n\nYozib olingan muhandislik darsida muhokamadagi asboblar nomlari va har loyiha qisqartmasining aniq yozilishini tayyorlang. Ularni aniq yo‘naltirilgan atamalar ro‘yxatiga yozing va ro‘yxatni audio hamda transkript yonida saqlang. Lug‘at yozuvini moslik isboti deb ko‘rmasdan, shu atamalar uchragan joylarni og‘zaki parchalar bilan tekshiring. O‘xshash jaranglaydigan nomlar baribir tekshiruvga muhtoj bo‘lishi mumkin. Natija haqiqatan aytilgan so‘zlarni, jumladan ma’noni o‘zgartiradigan tuzatish yoki aniqlikni saqlashi kerak.\n\nIshlab chiqaruvchi haqiqiy sharoitdagi audio, jumladan fon shovqini va turli mikrofon sharoitidagi sifatni ta’kidlaydi. Amaliy tekshiruv bir vaqtda nutq, past ovozlar yoki boshqa tovush qisman yopgan so‘zlar bor parchalarga qaratilishi mumkin. Noaniqliklarni mavzu haqidagi farazlardan to‘ldirish o‘rniga tegishli audio parchasiga bog‘lang. Ishonarli jumlada ham noto‘g‘ri atoqli ot yoki son bo‘lishi mumkin. Qo‘ng‘iroq transkriptida foydali material qo‘ng‘iroq qiluvchi niyatining taxminiy hisobi emas, keyingi tahlil foydalana oladigan tekshirilgan og‘zaki mazmun qaydidir.\n\nAynan 1.5 model tavsifi maksimal fayl hajmini 300 MB va ikki soat deb ko‘rsatadi. Bog‘langan sinxron transkripsiya REST ma’lumotnomasi qat’iyroq xizmat kirishini tavsiflaydi: 250 MB’dan kichik va ikki soatdan qisqa. Bular model tavsifi va interfeysning alohida aytilgan limitlaridir. Fayllarni mo‘ljallangan interfeys limitiga mos tayyorlang va uzunroq materialni mazmunli yozuv chegaralari bo‘yicha tartiblang. Fayl hajmi limiti kodlangan audioga, davomiylik limiti nutq yozuvining uzunligiga tegishli; hech biri matn modelining kontekst oynasini belgilamaydi.\n\nModel tavsifining namuna chiqishi yozuv davomiyligi va birlashtirilgan tanilgan matnni saqlovchi JSON’dir. Matn foydalanishga qulay transkript, subtitr ssenariysi yoki keyingi qisqa mazmun va qidiruv uchun kirishga aylanishi mumkin. Natijada kerakli vaqt ma’lumotlari bo‘lmasa, subtitr bo‘laklarini guruhlash va yozuvga moslashtirish alohida tayyorgarlikdir. Intervyu qaydlarida jumlani nomlangan qatnashchiga nisbat berish kim gapirganining alohida tekshirilgan qaydini talab qiladi. Tanilgan matn va audioni shu keyingi materiallar asosi sifatida saqlang.\n\nChiqishni rejalashda nashr chegaralari muhim. 1.5 tavsifi so‘zlovchilarni ajratishni qo‘llab-quvvatlanadigan imkoniyatlardan ochiq chiqaradi; ishlab chiqaruvchining versiya taqqoslashi so‘z darajasidagi vaqt belgilari va clean/verbatim uslub boshqaruvlarini MAI-Transcribe 2’ga beradi. Oqimli ishlashni bevosita qo‘llab-quvvatlaydigan model ham alohida nashr. Shu sabab 1.5 varianti boshqa nashrning so‘zlovchi, vaqt yoki jonli kirish xususiyatlarini natijaga qo‘shmasdan, yozuvlardan tanilgan matn va hujjatlashtirilgan soha kontekstiga qaratiladi. Iqtibos, subtitr yo‘lagi yoki hosila hujjatni tayyorlashdan oldin nomlar, sonlar, texnik atamalar va noaniq nutqni tekshiring.", "alias_of": null, "aliases": [], "author": "Microsoft AI", "capabilities": { "context_length": 0, "manufacturer_input": [ "audio" ], "manufacturer_output": [ "transcription" ] }, "card_routes": [ { "label": "Ultra", "rates": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": false, "estimate_only": true, "key": "forecast_usd", "label": "Estimated generation cost", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "estimate before generation", "quantity": 1, "quantity_is_estimate": true, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "request_estimate" } ], "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan." } ], "ctx": null, "formats": [ "transcriptions" ], "id": "microsoft/mai-transcribe-1.5", "input": [ "audio" ], "kind": "audio", "max_out": null, "methods": [ { "available": null, "billing_basis": { "basis": "original_invoice_usd", "description": "Ko‘rsatilgan tariflar xarajatni generatsiyadan oldin taxminiy hisoblash uchun xizmat qiladi. Yakuniy to‘lov dastlabki generatsiya uchun qayd etilgan xarajat asosida hisoblanadi. Natijaning o‘lchangan davomiyligi va oldindan taxmin qilingan miqdorlar haq undiriladigan yakuniy miqdor hisoblanmaydi.", "forecast_quantity_is_estimate": true, "physical_output_is_billable_quantity": false, "version": "original_invoice_usd_v1" }, "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.", "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 URL; never construct token" } ], "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "status": [ { "http": "GET", "id_source": "actual returned task_id or media library record", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Qaytarilgan X-Client-Request-ID ni ma’lumotlarni solishtirib tekshirish uchun saqlang. Faqat amalda qaytarilgan task_id/asset_id qiymatlari bo‘yicha yoki o‘zingizga tegishli media kutubxonasidan ma’lumot o‘qing; operatsiya ID sidan vazifa URL manzilini hech qachon tuzmang va yaratish so‘rovini 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", "type": null }, { "description": null, "name": "usage", "type": null }, { "description": null, "name": "segments[]", "type": null }, { "description": null, "name": "words[]", "type": null }, { "description": null, "name": "speaker fields", "type": null }, { "description": null, "name": "timestamps", "type": null } ] }, "parameters": [ { "enum": [ "microsoft/mai-transcribe-1.5" ], "enum_known": true, "name": "model", "required": true, "type": "string" }, { "name": "input_audio", "required": true, "type": "object" }, { "name": "language", "required": false, "type": "string" }, { "maximum": 1, "minimum": 0, "name": "temperature", "required": false, "type": "number" }, { "default": "json", "default_known": true, "enum": [ "json", "verbose_json" ], "enum_known": true, "name": "response_format", "required": false, "type": "string" }, { "items": { "enum": [ "segment", "word" ], "type": "string" }, "name": "timestamp_granularities", "required": false, "type": "array" }, { "name": "provider", "required": false, "type": "object" } ], "request_schema": { "properties": { "input_audio": { "properties": { "data": { "contentEncoding": "base64", "type": "string" }, "format": { "enum": [ "wav", "mp3", "flac", "m4a", "ogg", "webm", "aac" ], "type": "string" } }, "required": [ "data", "format" ], "type": "object" }, "language": { "description": "ISO-639-1 code; omitted means auto-detection", "type": "string" }, "model": { "enum": [ "microsoft/mai-transcribe-1.5" ], "type": "string" }, "provider": { "description": "Data policy and exact provider options; order/only/ignore are not applied to STT", "properties": { "data_collection": { "enum": [ "allow", "deny", null ], "type": [ "string", "null" ] }, "options": { "type": "object" }, "zdr": { "type": [ "boolean", "null" ] } }, "type": "object" }, "response_format": { "default": "json", "description": "verbose_json requires exact model/provider support", "enum": [ "json", "verbose_json" ], "type": "string" }, "temperature": { "maximum": 1, "minimum": 0, "type": "number" }, "timestamp_granularities": { "description": "Only used with supported verbose_json", "items": { "enum": [ "segment", "word" ], "type": "string" }, "type": "array" } }, "required": [ "model", "input_audio" ], "type": "object" }, "schema_template": { "actual_file_preparation_required": true, "body": { "input_audio": { "data": "${BASE64_ACTUAL_WAV_BYTES}", "format": "wav" }, "model": "microsoft/mai-transcribe-1.5" }, "content_type": "application/json" } }, "input": { "content_type": "application/json", "material_conditions": [ "Haqiqiy WAV faylini o‘qing va e’lon qilingan JSON input_audio uchun uning haqiqiy baytlarini kodlang; faqat JSON uchun berilgan aynan shu deklaratsiyada multipart yo‘nalishi taklif qilinmaydi." ], "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 URL; never construct token" } ], "mode": "synchronous_result_then_owned_library", "operation_id_is_not_task_id": true, "status": [ { "http": "GET", "id_source": "Amalda qaytarilgan task_id yoki media kutubxonasidagi yozuv", "path": "/v1/media/tasks/{task_id}" } ], "unknown": "Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit 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", "type": null }, { "description": null, "name": "usage", "type": null }, { "description": null, "name": "segments[]", "type": null }, { "description": null, "name": "words[]", "type": null }, { "description": null, "name": "speaker fields", "type": null }, { "description": null, "name": "timestamps", "type": null } ] } }, "ctx": null, "declared_pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "one_hour_cache_creation_token" } ] }, { "dimensions": { "quoted_unit": "per input audio hour" }, "label": "input audio hour", "units": [ { "amount": "0.72", "amount_unit": "usd_per_exact_native_unit", "billing_input": false, "estimate_only": true, "key": "stt_hour", "label": "input audio hour", "native_amount_usd_per_unit": "0.72", "native_quantity": 1, "public_unit_label": "per input audio hour", "quantity": 1, "quantity_is_estimate": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "stt_hour" } ] }, { "basis": "Bu taxmin qo‘shimcha to‘lov ham, tugallangan generatsiya uchun qat’iy tarif ham emas.", "dimensions": { "forecast_quantity": "one generation estimate" }, "label": "Yaratishning taxminiy qiymati", "units": [ { "amount": "0.0002", "amount_unit": "usd_per_exact_native_unit", "billing_input": false, "estimate_only": true, "key": "forecast_usd", "label": "Estimated generation cost", "native_amount_usd_per_unit": "0.0002", "native_quantity": 1, "public_unit_label": "estimate before generation", "quantity": 1, "quantity_is_estimate": true, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "request_estimate" } ] } ], "examples": [ { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\n: \"${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}\"\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\nimport base64\naudio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()\nif not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')\nif len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')\nrequest={'model': 'microsoft/mai-transcribe-1.5', 'input_audio': {'data': '${BASE64_ACTUAL_WAV_BYTES}', 'format': 'wav'}}\nrequest['input_audio']['data']=base64.b64encode(audio).decode('ascii')\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 $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n --data-binary @request.json -D response-headers.txt -o response.bin\n# Keep the complete original response and headers. Read every returned segment, word and usage field.\n# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.\n", "label": "curl · exact native body and complete result", "language": "bash" }, { "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \\\n -H \"Authorization: Bearer $AILOOT_API_KEY\" -o owned-assets.json\n# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.\n", "label": "Read existing owned assets", "language": "bash" } ], "family": "openai", "fast_multiplier": null, "flex_multiplier": null, "fmt": "transcriptions", "hints": [ "Use the exact caller model ID and documented input representation.", "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": "original_invoice_usd", "image_input_price": null, "image_output_price": null }, "pricing_profiles": [ { "dimensions": { "regime": "base" }, "label": "Base token rates", "units": [ { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "out", "unit": "output_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "cached_input_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", "unit": "generic_cache_creation_token" }, { "amount": null, "amount_unit": "usd_per_thousand_tokens", "billing_input": false, "estimate_only": true, "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": true, "rate_role": "typed_native_retail_rate", "side": "in", 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Model tavsifi nomlar va maxsus atamalar uchun sohaga mos kalit so‘z yo‘naltirishini tavsiflaydi. Transkriptni tekshirilgan qaydlar yoki subtitrlar asosi sifatida ishlating." }, "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": "Microsoft AI MAI-Transcribe 1.5 avtomatik til aniqlash hamda aksentlar va shovqinli audioga e’tibor bilan yozib olingan nutqni 43 tilda matnga aylantiradi. Model tavsifi nomlar va maxsus atamalar uchun sohaga mos kalit so‘z yo‘naltirishini tavsiflaydi. Transkriptni tekshirilgan qaydlar yoki subtitrlar asosi sifatida ishlating.", "source": { "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1", "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036", "raw_model_json_sha256": "a967c13ac175aed34ecb64e106af5362efbecff7ce7b4c2111e4633f92427582", "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6" }, "sourceRevision": "16cd8f353f7bc615e5e7601aa30df9f0e5d555168b8490a1a443962d3201edfc" }