Local ASR model

Canary 1B v2

Catalogue summary: NVIDIA multilingual ASR + speech translation in a single model. 25 European languages, bidirectional EN↔XX translation. Tops Open ASR Leaderboard multilingual category. Word-level timestamps, punctuation & capitalization.

Repository editorial metadata; verify comparative claims in the linked upstream material.

Apple Silicon readyspeech-to-text transcription25 languagesCC-BY-4.0
Choose an app

Start with Recommended. No terminal commands are shown.

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Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

Catalogue quality
9.3/10
Catalogue speed
9/10
Model size
2 GB
Voices
N/A (ASR + translation: outputs text)

Can Canary 1B v2 run locally?

Canary 1B v2 can run locally for offline speech-to-text. Use the verified setup options on this page; no terminal command is required to choose the right path.

CC-BY-4.0 license. Review upstream restrictions before commercial use.

streamingmultilingualrealtime

Audio profile

Cat. quality
9.3
Cat. speed
9
Audio
9.2

Best fit

Canary 1B v2 is best for offline transcription, speech indexing and local voice pipelines.

Hardware: gpuapple

Model details

Type
Local ASR model
Family
canary
Latency
low
Formats
nemo
Languages
en, de, es, fr, it, pt, pl, nl, sv, fi, da, cs, hu, ro, bg, hr, sk, sl, et, lv, lt, el, mt, ga
Context
ASR + speech translation, 25 languages, 1B params

Install locally

01
Check runtimeConfirm the backend supports nemo on your machine.
02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.
03
Test locallyRun a short private audio prompt before moving into production workflows.

Good for

  • speech-to-text transcription
  • Apple Silicon ready local workflows
  • streaming, multilingual, realtime

Watch before shipping

  • Validate pronunciation, latency and artifacts with your own voice samples.
  • Review the upstream license and acceptable-use notes.
  • Benchmark on your target CPU, Apple Silicon or GPU setup.

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