LocalClaw/TTS/Qwen3-ASR
Local ASR model

Qwen3-ASR

Catalogue summary: Open-source ASR family with 0.6B and 1.7B models. Supports language identification and speech recognition for 52 languages and dialects, streaming/offline inference and long audio transcription.

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

GPU recommendedspeech-to-text transcription52 languagesApache 2.0
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Start with Recommended. No terminal commands are shown.

Compare speech models
Open model filesRecommended verified starting pointOpen in UnslothLaunches Unsloth Desktop on this modelOpen Python packageVerified package page without exposing a commandOpen on Hugging FaceFiles, licence and model cardCheck my machineOptional: verify the fit with your saved hardware

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

Catalogue quality
9.5/10
Catalogue speed
9/10
Model size
3.4 GB
Voices
N/A (ASR: outputs text)

Can Qwen3-ASR run locally?

Qwen3-ASR 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.

Apache 2.0 license. Still verify upstream usage notes before shipping.

Upstream source
streamingrealtimemultilinguallow-latency

Audio profile

Cat. quality
9.5
Cat. speed
9
Audio
9.3

Best fit

Qwen3-ASR is best for offline transcription, speech indexing and local voice pipelines.

Hardware: gpuapple

Model details

Type
Local ASR model
Family
qwen
Latency
low
Formats
pytorchsafetensors
Languages
zh, en, yue, ar, de, fr, es, pt, id, it, ko, ru, th, vi, ja, tr, hi, ms, nl, sv, da, fi, pl, cs, fil, fa, el, hu, mk, ro
Context
0.6B / 1.7B ASR models, 52 languages and dialects, streaming + offline inference

Install locally

01
Check runtimeConfirm the backend supports pytorch, safetensors 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
  • GPU recommended local workflows
  • streaming, realtime, multilingual

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.

Related TTS and speech models

Qwen Team (Alibaba Cloud) Qwen3-TTS (0.6B / 1.7B) Local TTS model · Q 9.5 · Speed 8.5 NVIDIA Parakeet TDT 0.6B v3 Local ASR model · Q 9.5 · Speed 9.7 NVIDIA Nemotron 3.5 ASR Streaming 0.6B Local ASR model · Q 9.4 · Speed 9.3 Mistral AI Voxtral Mini 4B Realtime 2602 Local ASR model · Q 9.2 · Speed 9.4 OpenAI Whisper v3 Turbo Local ASR model · Q 9.1 · Speed 9.5 Audar AI Labs Audar-ASR-V1-Flash Local ASR model · Q 9.1 · Speed 9.4 Audar AI Labs Audar-ASR-V1-Turbo Local ASR model · Q 9.4 · Speed 8.6 NVIDIA Parakeet TDT 0.6B v2 Local ASR model · Q 9.4 · Speed 10
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