Transcribe with NVIDIA Canary

Name: NVIDIA Canary
Author: NVIDIA

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 →

3.5%

WER

Languages

45.0x

Speed

CC-BY-4.0

License

About NVIDIA Canary

Languages Supported by NVIDIA Canary

English

Spanish

French

German

Model Info

ProviderNVIDIA
Architecture-
LicenseCC-BY-4.0
UpdatedMar 2026

Related Models

3.2% WER

4.2% WER

5.1% WER

7.8% WER

3.0% WER

Àwọn Àtòjọ-ẹ̀yàn

NVIDIA Canary ní móòdù ìṣàfihàn-si-àkọ́kọ́ láti NVIDIA. STT.ai ní àwọn awáròyìn NVIDIA Canary 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 NVIDIA Canary láti inú àwọn àwọn awáròyìn móòdù.

On standard benchmarks, NVIDIA Canary achieves around 3.5% 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.

NVIDIA Canary 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.

NVIDIA Canary tí a fi pamọ́ láti inú CC-BY-4.0, ìlàyè ìṣàfilọ́lẹ̀-ìṣílọ́lẹ̀. O lè fi NVIDIA Canary pamọ́ sípàrà rẹ̀ láti lò nínú àwọn ìṣàfilọ́lẹ̀ wà - gbogbo wọn ní a lè lò nínú iṣẹ́.

NVIDIA Canary ǹfà àwọn ìtàn 4. Àwọn ìṣàfihàn-ìdáràn àwọn ìtàn tí a fẹ́ fún àwọn ìṣàfihàn àwọn ìranlọwọ; o lè sọ̀rọ̀ nípa ìrànwọ́ fún ìṣàfihàn àwọn ìṣàfihàn àwọn ìṣàfihàn.

NVIDIA Canary processes audio at about 45.0x real-time on our GPUs. A 1-hour audio file finishes in under 1 minutes; longer files queue and notify by email when done.

NVIDIA Canary has 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 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 NVIDIA Canary fún ìṣàfilọ́lẹ̀ gbogbó - àwọn àkọlé àwòrán ní pàtó àwọn àkọlé àwòrán náà nínú àwọn àwọn àkọlé àwòrán.

Yes. 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.

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

Ya. Ṣàfihàn "nvidia-canary" bí àwọn ààtò ìṣàmúlò-ètò módè́èlì lórí àwọn ààtò ìparí iṣẹ́ /v1/transscribe. Python àti Node.js SDKs ní àwọn ààtò ìṣàmúlò-ètò NVIDIA Canary. Àwọn ààtò API àìfẹ́ ní àwọn ààtò 100 àwọn àkókò/óṣù.

Yes. Because NVIDIA Canary is CC-BY-4.0-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 NVIDIA Canary

About NVIDIA Canary

Languages Supported by NVIDIA Canary

Model Info

Related Models

Àwọn Àtòjọ-ẹ̀yàn

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