Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Local Whisper
Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs.
skill openclawclawhub Free
Free local speech-to-text for Telegram and WhatsApp using MLX Whisper on Apple Silicon. Private, no API costs.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, requirements.txt, scripts/daemon.py, scripts/transcribe.sh, scripts/transcribe_large.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.5.0
Provenance
- Publisher
- ImpKind
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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. โ Free forever โ Private (audio never leaves your Mac) โ Fast (~1 second per message) โ Works offline
โ ๏ธ Important Notes
First run downloads ~1.5GB model โ be patient, this only happens once First transcription is slow โ 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
1. Install dependencies
pip3 install -r requirements.txt
2. Start the daemon
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: { "tools": { "media": { "audio": { "enabled": true, "models": [ { "type": "cli", "command": "~/.openclaw/workspace/skills/local-whisper/scripts/transcribe.sh", "args": ["{{MediaPath}}"], "timeoutSeconds": 60 } ] } } } }
4. Restart gateway
openclaw gateway restart Now voice messages from Telegram, WhatsApp, etc. will be transcribed locally for free!
Manual test
./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
cp com.local-whisper.plist ~/Library/LaunchAgents/ launchctl load ~/Library/LaunchAgents/com.local-whisper.plist
API
Daemon runs at localhost:8787: curl -X POST http://localhost:8787/transcribe -F "file=@audio.ogg" # {"text": "Hello world", "language": "en"}
Translation
Any language โ English: ./scripts/transcribe.sh spanish_audio.ogg --translate
Requirements
macOS with Apple Silicon (M1/M2/M3/M4) Python 3.9+
License
MIT
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs1 Files
- SKILL.md
- README.md
- scripts/daemon.py
- scripts/transcribe_large.sh
- scripts/transcribe.sh
- requirements.txt