🎁 Get the FREE AI Skills Starter Guide β€” Subscribe β†’
BytesAgainBytesAgain
BytesAgain β€Ί Skills β€Ί Local Vosk STT
πŸ¦€ ClawHub

Local Vosk STT

by @sfkiwi

Local speech-to-text using Vosk. Lightweight, fast, fully offline. Perfect for transcribing Telegram voice messages, audio files, or any speech-to-text task without cloud APIs.

Versionv1.0.1
Downloads1,546
Installs2
#devops#audio#legal#communication#productivity
TERMINAL
clawhub install local-vosk

πŸ“– About This Skill

name: local-vosk description: Local speech-to-text using Vosk. Lightweight, fast, fully offline. Perfect for transcribing Telegram voice messages, audio files, or any speech-to-text task without cloud APIs.

Local Vosk STT

Lightweight local speech-to-text using Vosk. Fully offline after model download.

Use Cases

  • Telegram voice messages β€” transcribe .ogg voice notes automatically
  • Audio files β€” any format ffmpeg supports
  • Offline transcription β€” no API keys, no cloud, no costs

    • Quick Start

    # Transcribe Telegram voice message
./skills/local-vosk/scripts/transcribe voice_message.ogg
    Transcribe any audio
    
./skills/local-vosk/scripts/transcribe audio.mp3
    With language (default: en-us)
    
./skills/local-vosk/scripts/transcribe audio.wav --lang en-us

    Supported Formats

    Any format ffmpeg can decode: ogg (Telegram), mp3, wav, m4a, webm, flac, etc.

    Models

    Default model: vosk-model-small-en-us-0.15 (~40MB)

    Other models available at https://alphacephei.com/vosk/models

    Setup (if not installed)

    pip3 install vosk --user --break-system-packages
    Download model
    
mkdir -p ~/vosk-models && cd ~/vosk-models
wget https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip
unzip vosk-model-small-en-us-0.15.zip

    Notes

  • Quality is good for conversational speech
  • For higher accuracy, use larger models or faster-whisper
  • Processes audio at ~10x realtime on typical hardware
  • Telegram voice messages are .ogg format β€” works out of the box

    • ⚑ When to Use

    TriggerAction
    - **Audio files** β€” any format ffmpeg supports
    - **Offline transcription** β€” no API keys, no cloud, no costs

    πŸ’‘ Examples

    # Transcribe Telegram voice message
./skills/local-vosk/scripts/transcribe voice_message.ogg
    Transcribe any audio
    
./skills/local-vosk/scripts/transcribe audio.mp3
    With language (default: en-us)
    
./skills/local-vosk/scripts/transcribe audio.wav --lang en-us

    πŸ“‹ Tips & Best Practices

  • Quality is good for conversational speech
  • For higher accuracy, use larger models or faster-whisper
  • Processes audio at ~10x realtime on typical hardware
  • Telegram voice messages are .ogg format β€” works out of the box