| name | voice-to-text |
| version | 1.0.0 |
| description | Convert voice messages and audio files to text using Vosk offline speech recognition. Use when a user sends a voice message, audio file, or asks to transcribe speech to text. |
| homepage | https://alphacephei.com/vosk/ |
| metadata | {"openclaw":{"emoji":"🎤","os":["darwin","linux"],"requires":{"bins":"[Truncated]","python":"[Truncated]"},"install":["[Truncated]","[Truncated]"]}} |
Voice to Text
Convert voice messages and audio files to text using Vosk, an offline speech recognition toolkit.
Setup
-
Install dependencies:
brew install ffmpeg
pip install vosk
apt-get install ffmpeg
pip install vosk
-
Download a Vosk model:
mkdir -p ~/.vosk/models && cd ~/.vosk/models
curl -LO https://alphacephei.com/vosk/models/vosk-model-small-cn-0.22.zip
unzip vosk-model-small-cn-0.22.zip
curl -LO https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip
unzip vosk-model-small-en-us-0.15.zip
Usage
When the user provides a voice message or audio file path, run the transcription:
python3 ~/skills/voice-to-text/transcribe.py "<audio_file_path>"
For specific model selection, set the environment variable:
VOSK_MODEL_PATH=~/.vosk/models/vosk-model-cn-0.22 python3 ~/skills/voice-to-text/transcribe.py "<audio_file_path>"
Supported Audio Formats
- MP3, WAV, M4A, OGG, FLAC, AAC, WEBM
- Voice messages from WeChat, Telegram, WhatsApp, etc.
Available Models
| Model | Language | Size | Notes |
|---|
| vosk-model-small-cn-0.22 | Chinese | 42M | Fast, good accuracy |
| vosk-model-cn-0.22 | Chinese | 1.3G | High accuracy |
| vosk-model-small-en-us-0.15 | English | 40M | Fast, good accuracy |
| vosk-model-en-us-0.22 | English | 1.8G | High accuracy |
Download models from: https://alphacephei.com/vosk/models
Example Workflow
- User sends a voice message via WeChat/Telegram
- OpenClaw receives the audio file
- Run:
python3 transcribe.py /path/to/voice.ogg
- Return transcribed text to user
Troubleshooting
- No model found: Download a model to
~/.vosk/models/
- ffmpeg not found: Install via
brew install ffmpeg or apt install ffmpeg
- Poor accuracy: Try a larger model for better results
Notes
- Works completely offline after model download
- Supports multiple languages (download appropriate model)
- Audio is converted to 16kHz mono WAV for processing