groq-whisper

Transcribe audio files using Groq's Whisper API (whisper-large-v3). Fast cloud-based speech-to-text with no local model required. Use when receiving voice messages, audio files, or any speech that needs transcription. Supports all major audio formats (ogg, mp3, wav, m4a, webm, flac).

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Install skill "groq-whisper" with this command: npx skills add directorvector/groq-whisper

Groq Whisper

Cloud speech-to-text via Groq's Whisper API. No local model, no GPU, no fan spin.

Setup

  1. Get a free API key at console.groq.com
  2. Store it:
    mkdir -p ~/.config/groq
    echo '{"api_key":"gsk_your_key_here"}' > ~/.config/groq/credentials.json
    chmod 600 ~/.config/groq/credentials.json
    
    Or set GROQ_API_KEY env var.

Usage

# Transcribe an audio file
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg

# Specify language (default: en)
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg es

When to use

Call this script whenever you receive an audio/voice message attachment. Pass the file path directly — Groq handles ogg, mp3, wav, m4a, webm, and flac natively. No format conversion needed.

Details

  • Model: whisper-large-v3 (best accuracy)
  • Speed: Faster than real-time (typically <2s for a 5-minute clip)
  • Cost: Free tier available, no credit card required
  • Privacy: Groq does not retain input data or train on it
  • Requires: curl, jq, Groq API key

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