name: groq-whisper-api description: Transcribe audio via Groq Automatic Speech Recognition (ASR) Models (Whisper). homepage: https://console.groq.com/docs/speech-to-text metadata: { "openclaw": { "emoji": "☁️", "requires": { "bins": ["curl"], "env": ["GROQ_API_KEY"] }, "primaryEnv": "GROQ_API_KEY", }, }

Groq Whisper API (curl)

Transcribe an audio file via Groq’s OpenAI-compatible /openai/v1/audio/transcriptions endpoint.

Quick start

{baseDir}/scripts/transcribe.sh /path/to/audio.m4a

Defaults:

• Model: whisper-large-v3-turbo
• Output: <input>.txt

Useful flags

{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-large-v3 --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language en
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --prompt "Speaker names: Peter, Daniel"
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.json

API key

Set GROQ_API_KEY, or configure it in ~/.openclaw/openclaw.json:

{
  skills: {
    "groq-whisper-api": {
      apiKey: "GROQ_KEY_HERE",
    },
  },
}