Local Whisper
Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs.
Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs.
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Open source
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Transcribe voice messages for free on Telegram and WhatsApp. No API keys. No costs. Runs on your Mac.
Voice transcription APIs cost money:
If you transcribe a lot of Telegram voice messages, it adds up.
This skill runs Whisper locally on your Mac. Same quality, zero cost.
tools.media.audio config with the one belowpip3 install -r requirements.txt
python3 scripts/daemon.py
First run will download the Whisper model (~1.5GB). Wait for "Ready" message.
Add this to your
~/.openclaw/openclaw.json:
{ "tools": { "media": { "audio": { "enabled": true, "models": [ { "type": "cli", "command": "~/.openclaw/workspace/skills/local-whisper/scripts/transcribe.sh", "args": ["{{MediaPath}}"], "timeoutSeconds": 60 } ] } } } }
openclaw gateway restart
Now voice messages from Telegram, WhatsApp, etc. will be transcribed locally for free!
./scripts/transcribe.sh voice_message.ogg
Instead of paying for OpenAI API to transcribe incoming voice messages, point OpenClaw to this local daemon. Free transcription forever.
cp com.local-whisper.plist ~/Library/LaunchAgents/ launchctl load ~/Library/LaunchAgents/com.local-whisper.plist
Daemon runs at
localhost:8787:
curl -X POST http://localhost:8787/transcribe -F "file=@audio.ogg" # {"text": "Hello world", "language": "en"}
Any language → English:
./scripts/transcribe.sh spanish_audio.ogg --translate
MIT
No automatic installation available. Please visit the source repository for installation instructions.
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