Transcribe with NVIDIA Canary
3.5%
WER
4
Languages
45.0x
Speed
CC-BY-4.0
License
About NVIDIA Canary
Model Info
- ProviderNVIDIA
- Architecture-
- LicenseCC-BY-4.0
- UpdatedMar 2026
Zvimwe zvinobvunzwa kakawanda
NVIDIA Canary imhando yemutauro-ku-mutauro yakagadzirwa ne NVIDIA. STT.ai inochengeta NVIDIA Canary pane yedu GPU infrastructure kuitira kuti iwe ugone kuishandisa pasina kuisa yako hardware. Upload audio kana video uye sarudza NVIDIA Canary kubva kumodeli picker.
Real-world kunyatsonzwisisa kunoenderana nemhando yezwi, accent, uye rurimi; For noisy kana accented rekodhi, kutarisira zvishoma zvidimbu zviviri zvemazana yepamusoro WER.
NVIDIA Canary 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.
NVIDIA Canary inoburitswa pasi peCC-BY-4.0, iyo yakavhurika-chigadzirwa chigadzirwa chitupa. Iwe unogona kuisa NVIDIA Canary pane yako hardware kana kushandisa yedu inochengetwa vhezheni. Imwe neimwe inoshandiswa mukutengesa.
NVIDIA Canary inotsigira 4 mazita ezvinyorwa. Kuwana otomatiki kunosarudza zvirinani zita rezvinyorwa zvemavhidhiyo; unogonawo kuisarudza nemunhu kuti uwane kunyatsoita kwakanaka.
NVIDIA Canary inogadzirisa audio pazvinosvika 45.0x real-time pane edu GPUs. 1-hour audio file inosvika pasi pe 1 maminitsi; zvinopfuura zvinyorwa zvinomirira uye zvinozivisa neemail kana zvaitwa.
NVIDIA Canary ine 1B parameters. Larger models tend to be more accurate but slower; STT.ai hosts NVIDIA Canary on GPU so the parameter count doesn't affect your client-side performance.
NVIDIA Canary 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 NVIDIA Canary yese transcription — mumwe mutauro iri rakanyorwa uye unogona kuchinja zita ravo mu editor mushure.
Yeah. NVIDIA Canary 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 NVIDIA Canary, shandisawo NVIDIA Canary vs Whisper Large V3 kuongorora kuti uone kuti NVIDIA Canary inoenderana nemhando ipi neipi yefoni. Unogona kuona WER, segment count, speaker labels, uye confidence scores side-by-side. NVIDIA Canary vs Whisper Large V3 kuongorora ndiyo inonyanya kushandiswa.
Yeah. Chidza "nvidia-canary" separameter yemufananidzo pa /v1/transcribe endpoint. Python uye Node.js SDKs dzinosanganisira NVIDIA Canary mifananidzo. Yemahara API tier inosanganisira 100 maminitsi / mwedzi.
Yeah. Nekudaro, nekuti NVIDIA Canary ine CC-BY-4.0-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.