🎤 Transcribe audio files using Qwen ASR. 千问STT OpenClaw Skill
Transcribe audio files using Qwen ASR (千问STT). Use when the user sends voice messages and wants them converted to text.
Installation
clawhub install qwen-asr
Requires npm i -g clawhub
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Qwen ASR
Transcribe an audio file (wav/mp3/ogg...) to text using Qwen ASR. No configuration or API key required.
Usage
uv run scripts/main.py -f audio.wav
cat audio.wav | uv run scripts/main.py > transcript.txt
About
Qwen ASR is a free and open-source speech-to-text model.
It is trained on a large dataset of audio files from the web.
It is available in multiple languages.
This skill bases on the Qwen ASR Demo service (qwen-qwen3-asr-demo.ms.show).
Statistics
Author
Alone
@al-one
Latest Changes
v1.0.0 · Mar 9, 2026
Initial release of qwen-asr. - Transcribe audio files (wav/mp3/ogg, etc.) to text using Qwen ASR. - No configuration or API key needed. - Supports multiple languages. - Simple CLI usage and integration instructions provided. - Depends on uv, aiohttp, argparse, and gradio_client.
Quick Install
clawhub install qwen-asr Related Skills
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