Fi pamọ́ 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

Àwọn àkọlé àwọn àkọlé

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 ìṣàfihàn fún àwọn ìṣàfihàn

Àwọn àkọlé àwọn àkọlé

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

Àwọn Àkọ́lé

32.0x

Ìjánú ìsàlẹ̀-ilà

MIT

Àwọn Àmì-ìwé

Ààyè-iṣẹ́ Whisper Turbo

Whisper Turbo (large-v3-turbo) ní ìṣàfarawe-ìṣàmúlò-ètò tí a tí ìṣàfilọ́lẹ̀ ti Whisper Large V3 tí o tí fi kúnà àwọn àkókò ìṣàfarawe-ìwé nígbà tí o ǹfi àwọn àwọn ìṣàfilọ́lẹ̀ ìṣàfarawe-ìwé pọ̀. Nínú àwọn àwọn ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ 4 lọ́wọ́lọ́wọ́.

Àwọn Whisper Turbo

Èdè Gẹ̀ẹ́sì

Èdè Sípáníìṣì

Èdè Faransé

Èdè Jámánì

Edè Ṣáínà

Èdè Jàpáànù

Èdè Kòríà

Èdè Pọtogí

Èdè Lárúbáwá

Èdè Híńdì

Èdè Rọ́ṣíà

Èdè Ítálì

Èdè Dọ́ọ̀ṣì

Èdè Tọọkisi

Èdè Póláǹdì

Èdè Suwidiisi

Èdè Indonéṣíà

Èdè Tai

Èdè Jetinamu

Èdè Seeki

Èdè Giriki

Èdè Romania

Èdè Hungaria

Èdè Heberu

Èdè Denmaki

Èdè Finisi

Èdè Norway

Èdè Ukania

Èdè Malaya

Èdè Bengali

Àwọn Àlàyé Àwọn

Àwọn Ìṣàmúlò-ètòOpenAI
Àwọn Ìṣàmúlò-ètò-
Àwọn Àmì-ìwéMIT
ÀkóónúMar 2026

Àwọn ìṣàmúlò-ètò àìfàn

3.2% WER

4.2% WER

3.5% WER

7.8% WER

3.0% WER

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 runs on STT.ai's free tier — every visitor gets 600 minutes/month at no cost. Paid plans add longer per-file limits, private transcripts, and priority queueing.

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.

Fi pamọ́ Whisper Turbo

Ààyè-iṣẹ́ Whisper Turbo

Àwọn Whisper Turbo

Àwọn Àlàyé Àwọn

Àwọn ìṣàmúlò-ètò àìfàn

Àwọn Àtòjọ-ẹ̀yàn

Kini Whisper Turbo?

Bawo ni Whisper Turbo ṣe tọ́?

Njẹ Whisper Turbo jẹ ọfẹ lati lo?

Ààyè wo ni Whisper Turbo lò?

Ìgbà wo nínú àwọn ìtàn wo ní Whisper Turbo ǹfà?

Ìgbà wo ní Whisper Turbo jẹ́?

Igbà wo ní módè́lì Whisper Turbo náà jẹ́?

Kini àwọn ìrísí-lẹ́tà àwọn orin lè kọ̀ nípa Whisper Turbo?

Ń Whisper Turbo gbọ́ àwọn ìgbàkọ̀lù àwọn ìgbàkọ̀lù àwọn?

Àwọn àkọlé mìíràn nígbà tí mò bá lo Whisper Turbo?

Bawo ni Whisper Turbo ṣe yatọ si awọn awoṣe STT miiran?

Mo le lo Whisper Turbo nípa API?

Ṣe mo le ṣe Whisper Turbo lori sévà mì?