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Transcribe
Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.
安全通过
技能说明
name: transcribe description: Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.
Transcribe
Local audio transcription using faster-whisper in Docker.
Installation
cd /path/to/skills/transcribe/scripts
chmod +x install.sh
./install.sh
This builds the Docker image whisper:local and installs the transcribe CLI.
Usage
transcribe /path/to/audio.mp3 [language]
- Default language:
es(Spanish) - Use
autofor auto-detection - Outputs plain text to stdout
Examples
transcribe /tmp/voice.ogg # Spanish (default)
transcribe /tmp/meeting.mp3 en # English
transcribe /tmp/audio.m4a auto # Auto-detect
Supported Formats
mp3, m4a, ogg, wav, webm, flac, aac
When Receiving Voice Messages
- Save the audio attachment to a temp file
- Run
transcribe <path> - Include the transcription in your response
- Clean up the temp file
Files
scripts/transcribe- CLI wrapper (bash)scripts/install.sh- Installation script (includes Dockerfile inline)
Notes
- Model:
small(fast) - edit install.sh forlarge-v3(accurate) - Fully local, no API key needed
如何使用「Transcribe」?
- 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」技能完成任务
- 结果即时呈现,支持继续对话优化