🤖
🎤 Transcribe audio files using Qwen ASR. 千问STT
Transcribe audio files using Qwen ASR (千问STT). Use when the user sends voice messages and wants them converted to text.
安全通过
技能说明
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).
如何使用「🎤 Transcribe audio files using Qwen ASR. 千问STT」？
- 打开小龙虾AI（Web 或 iOS App）
- 点击上方「立即使用」按钮，或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「🎤 Transcribe audio files using Qwen ASR. 千问STT」技能完成任务
- 结果即时呈现，支持继续对话优化