name: qwen-asr description: Transcribe audio files using Qwen ASR (千问STT). Use when the user sends voice messages and wants them converted to text. homepage: https://github.com/aahl/qwen-asr2api metadata: { "openclaw": { "emoji": "🎤", "requires": { "bins": ["uv"] }, "install": [ {"id": "uv-brew", "kind": "brew", "formula": "uv", "bins": ["uv"], "label": "Install uv (brew)"}, {"id": "uv-pip", "kind": "pip", "formula": "uv", "bins": ["uv"], "label": "Install uv (pip)"}, {"id": "pip-aiohttp", "kind": "pip", "formula": "aiohttp", "label": "Install aiohttp (pip)"}, {"id": "pip-argparse", "kind": "pip", "formula": "argparse", "label": "Install argparse (pip)"}, {"id": "pip-gradio", "kind": "pip", "formula": "gradio_client", "label": "Install gradio (pip)"}, ], }, }

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).