Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs.
Install to Claude Code
npx -y skills add sundial-org/awesome-openclaw-skills --skill whisper-mlx-local --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Whisper Mlx Local?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/sundial-org-whisper-mlx-local)More formats (shields.io, HTML) on the badges page.
---
name: whisper-mlx-local
description: "Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs."
metadata:
openclaw:
emoji: "🎤"
version: "1.5.0"
author: "Community"
repo: "https://github.com/ImpKind/local-whisper"
requires:
os: ["darwin"]
arch: ["arm64"]
bins: ["python3"]
install:
- id: "deps"
kind: "manual"
label: "Install dependencies"
instructions: "pip3 install -r requirements.txt"
---
# Local Whisper
**Transcribe voice messages for free on Telegram and WhatsApp.** No API keys. No costs. Runs on your Mac.
## The Problem
Voice transcription APIs cost money:
- OpenAI Whisper: **$0.006/minute**
- Groq: **$0.001/minute**
- AssemblyAI: **$0.01/minute**
If you transcribe a lot of Telegram voice messages, it adds up.
## The Solution
This skill runs Whisper **locally on your Mac**. Same quality, **zero cost**.
- ✅ Free forever
- ✅ Private (audio never leaves your Mac)
- ✅ Fast (~1 second per message)
- ✅ Works offline
## ⚠️ Important Notes
- **First run downloads ~1.5GB model** — be patient, this only happens once
- **First transcription is slow** — model loads into memory (~10-30 seconds), then it's instant
- **Already using OpenAI API for transcription?** Replace your existing `tools.media.audio` config with the one below
## Quick Start
### 1. Install dependencies
```bash
pip3 install -r requirements.txt
```
### 2. Start the daemon
```bash
python3 scripts/daemon.py
```
First run will download the Whisper model (~1.5GB). Wait for "Ready" message.
### 3. Add to OpenClaw config
Add this to your `~/.openclaw/openclaw.json`:
```json
{
"tools": {
"media": {
"audio": {
"enabled": true,
"models": [
{
"type": "cli",
"command": "~/.openclaw/workspace/skills/local-whisper/scripts/transcribe.sh",
"args": ["{{MediaPath}}"],
"timeoutSeconds": 60
}
]
}
}
}
}
```
### 4. Restart gateway
```bash
openclaw gateway restart
```
Now voice messages from Telegram, WhatsApp, etc. will be transcribed locally for free!
### Manual test
```bash
./scripts/transcribe.sh voice_message.ogg
```
## Use Case: Telegram Voice Messages
Instead of paying for OpenAI API to transcribe incoming voice messages, point OpenClaw to this local daemon. Free transcription forever.
## Auto-Start on Login
```bash
cp com.local-whisper.plist ~/Library/LaunchAgents/
launchctl load ~/Library/LaunchAgents/com.local-whisper.plist
```
## API
Daemon runs at `localhost:8787`:
```bash
curl -X POST http://localhost:8787/transcribe -F "file=@audio.ogg"
# {"text": "Hello world", "language": "en"}
```
## Translation
Any language → English:
```bash
./scripts/transcribe.sh spanish_audio.ogg --translate
```
## Requirements
- macOS with Apple Silicon (M1/M2/M3/M4)
- Python 3.9+
## License
MIT
Scanned 2/12/2026
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!