Transcribe with Whisper Turbo

Name: Whisper Turbo
Author: OpenAI

Àwọn iṣẹ́ láti mú àwọn àwòrán àti àwòrán tí a yàn fún gbogbo eniyan. Àwọn àwọn ìròyìn tí a dáwọ́ láti lo DRM kò fọwọ́sì.

Àwọn ìṣàfihàn fún àwọn ìṣàfihàn

Private transcript

Fi àkọlé pamọ́

Ṣí àwọn àwọn àgbéwọlé →

Tí fáìlì náà síbẹ̀ tàbí tẹ̀ láti ṣàfihàn

MP3, WAV, M4A, FLAC, MP4, MKV, MOV, WebM — to 2GB

Fi àwọn fáìlì mìíràn pamọ́ Àwọn àwọn àwọn àwọn àwọn

Àwọn ìṣàfihàn fún àwọn ìṣàfihàn

Private transcript

Fi àkọlé pamọ́

Ṣí àwọn àwọn àgbéwọlé →

Àwọn ìṣàfihàn fún àwọn ìṣàfihàn

Àwọn àkọlé àìpẹ́ láti inú àkọlé. AI kọ̀ọ̀kan-ìṣàmúlò-ètò bí a tí n sọ̀rọ̀ - ìṣàmúlò-ètò náà tí a bá kọ̀ọ̀kan àwọn àkọlé náà.

Àwọn àwọn àmì-ìwé

10 free min/day 600 min ọfẹ pẹlu iforukọsilẹ Kò ní kaadí ẹ̀yàn Àwọn àmì-ìwé

Ṣẹ̀dà nípa ọ̀fẹ̀ →

5.1%

WER

Languages

32.0x

Speed

MIT

License

About Whisper Turbo

Languages Supported by Whisper Turbo

English

Spanish

French

German

Chinese (Mandarin)

Japanese

Korean

Portuguese

Arabic

Hindi

Russian

Italian

Dutch

Turkish

Polish

Swedish

Indonesian

Thai

Vietnamese

Czech

Greek

Romanian

Hungarian

Hebrew

Danish

Finnish

Norwegian

Ukrainian

Malay

Bengali

Model Info

ProviderOpenAI
Architecture-
LicenseMIT
UpdatedMar 2026

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Àwọn Àtòjọ-ẹ̀yàn

Whisper Turbo ní móòdù ìṣàfihàn-si-àkọ́kọ́ láti OpenAI. STT.ai ní àwọn awáròyìn Whisper Turbo nípa àgbègbè GPU wà láti jẹ́ pé o lè lò láti fi àwọn àwọn ìṣàfihàn rẹ̀ pamọ́ - fi àwòrán àti àwòrán pamọ́ sínú àwọn awáròyìn Whisper Turbo láti inú àwọn àwọn awáròyìn móòdù.

On standard benchmarks, Whisper Turbo achieves around 5.1% Word Error Rate. Real-world accuracy depends on audio quality, accent, and language; for noisy or accented recordings, expect a few percentage points higher WER.

Whisper Turbo nlọ lori STT.ai ti o ni ọfẹ — gbogbo awọn alejo gba iṣẹju 600/oṣu kan laisi idiyele. Awọn iṣẹju-aaya ti a sanwo ṣafikun awọn ibiti o ju-faili, awọn atẹwe ti ara ẹni, ati awọn atẹwe ti o ni ifẹ.

Whisper Turbo tí a fi pamọ́ láti inú MIT, ìlàyè ìṣàfilọ́lẹ̀-ìṣílọ́lẹ̀. O lè fi Whisper Turbo pamọ́ sípàrà rẹ̀ láti lò nínú àwọn ìṣàfilọ́lẹ̀ wà - gbogbo wọn ní a lè lò nínú iṣẹ́.

Whisper Turbo ǹfà àwọn ìtàn 99. Àwọn ìṣàfihàn-ìdáràn àwọn ìtàn tí a fẹ́ fún àwọn ìṣàfihàn àwọn ìranlọwọ; o lè sọ̀rọ̀ nípa ìrànwọ́ fún ìṣàfihàn àwọn ìṣàfihàn àwọn ìṣàfihàn.

Whisper Turbo processes audio at about 32.0x real-time on our GPUs. A 1-hour audio file finishes in under 1 minutes; longer files queue and notify by email when done.

Whisper Turbo has 809M parameters. Larger models tend to be more accurate but slower; STT.ai hosts Whisper Turbo on GPU so the parameter count doesn't affect your client-side performance.

Whisper Turbo gba gbogbo àwọn ìrísí-lẹ́tà tí STT.ai ǹfàyè — MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, àti àwọn mìíràn. Àwọn ìṣàfilọ́lẹ̀ bí TXT, SRT, VTT, DOCX, JSON, tàbí PDF.

Ya. Ìṣàfilọ́lẹ̀ àwọn àkọlé àwọn àkọlé náà tí wọ́n lọ́wọ́lọ́wọ́ Whisper Turbo fún ìṣàfilọ́lẹ̀ gbogbó - àwọn àkọlé àwòrán ní pàtó àwọn àkọlé àwòrán náà nínú àwọn àwọn àkọlé àwòrán.

Yes. Whisper Turbo runs in our managed environment — audio is processed and deleted by default and never used for training without explicit opt-in. Pro plans add client-side encryption for transcripts at rest.

Use the compare-stt tool to run Whisper Turbo against any other supported model on the same audio — you'll see WER, segment count, speaker labels, and confidence scores side-by-side. The Whisper Turbo vs Whisper Large V3 comparison is the most commonly run.

Ya. Ṣàfihàn "whisper-turbo" bí àwọn ààtò ìṣàmúlò-ètò módè́èlì lórí àwọn ààtò ìparí iṣẹ́ /v1/transscribe. Python àti Node.js SDKs ní àwọn ààtò ìṣàmúlò-ètò Whisper Turbo. Àwọn ààtò API àìfẹ́ ní àwọn ààtò 100 àwọn àkókò/óṣù.

Yes. Because Whisper Turbo is MIT-licensed, you can self-host it. STT.ai's open-source page lists the project repo and weights. Most production teams use our hosted version to skip GPU procurement, model swaps, and ops.

Transcribe with Whisper Turbo

About Whisper Turbo

Languages Supported by Whisper Turbo

Model Info

Related Models

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