Transcribe with Whisper Turbo
5.1%
WER
99
Languages
32.0x
Speed
MIT
License
About Whisper Turbo
Model Info
- ProviderOpenAI
- Architecture-
- LicenseMIT
- UpdatedMar 2026
Zvimwe zvinobvunzwa kakawanda
Whisper Turbo imhando yemutauro-ku-mutauro yakagadzirwa ne OpenAI. STT.ai inochengeta Whisper Turbo pane yedu GPU infrastructure kuitira kuti iwe ugone kuishandisa pasina kuisa yako hardware. Upload audio kana video uye sarudza Whisper Turbo kubva kumodeli picker.
Real-world kunyatsonzwisisa kunoenderana nemhando yezwi, accent, uye rurimi; For noisy kana accented rekodhi, kutarisira zvishoma zvidimbu zviviri zvemazana yepamusoro WER.
Whisper Turbo inofamba pa STT.ai yemahara tier - chero muenzi anowana 600 maminitsi / mwedzi pasina mutengo. Yakabhadharwa mishandirapamwe inowedzera zvishoma zvishoma zvishoma, zvemukati zvemukati, uye priority queueing.
Whisper Turbo inoburitswa pasi peMIT, iyo yakavhurika-chigadzirwa chigadzirwa chitupa. Iwe unogona kuisa Whisper Turbo pane yako hardware kana kushandisa yedu inochengetwa vhezheni. Imwe neimwe inoshandiswa mukutengesa.
Whisper Turbo inotsigira 99 mazita ezvinyorwa. Kuwana otomatiki kunosarudza zvirinani zita rezvinyorwa zvemavhidhiyo; unogonawo kuisarudza nemunhu kuti uwane kunyatsoita kwakanaka.
Whisper Turbo inogadzirisa audio pazvinosvika 32.0x real-time pane edu GPUs. 1-hour audio file inosvika pasi pe 1 maminitsi; zvinopfuura zvinyorwa zvinomirira uye zvinozivisa neemail kana zvaitwa.
Whisper Turbo ine 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 inogamuchira ese mafomati STT.ai anotsigira - MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, uye vamwe.Kuburitsa se TXT, SRT, VTT, DOCX, JSON, kana PDF.
Yega. Mutauro diarization inofamba pamwe Whisper Turbo yese transcription — mumwe mutauro iri rakanyorwa uye unogona kuchinja zita ravo mu editor mushure.
Yeah. 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.
Usati washandisa Whisper Turbo, shandisawo Whisper Turbo vs Whisper Large V3 kuongorora kuti uone kuti Whisper Turbo inoenderana nemhando ipi neipi yefoni. Unogona kuona WER, segment count, speaker labels, uye confidence scores side-by-side. Whisper Turbo vs Whisper Large V3 kuongorora ndiyo inonyanya kushandiswa.
Yeah. Chidza "whisper-turbo" separameter yemufananidzo pa /v1/transcribe endpoint. Python uye Node.js SDKs dzinosanganisira Whisper Turbo mifananidzo. Yemahara API tier inosanganisira 100 maminitsi / mwedzi.
Yeah. Nekudaro, nekuti Whisper Turbo ine MIT-lisensi, unogona kuichengeta iwe pachako. STT.ai's open-source peji rinonyora repo uye zviyero zveprojekiti. Zvikwata zvakawanda zvekugadzira zvinoshandisa yedu inochengetwa vhezheni kuti urege kubhadharisa GPU, kuchinja mamodheru, uye ops.