- name
- openrouter-transcribe
- description
- Transcribe audio files via OpenRouter using audio-capable models (Gemini, GPT-4o-audio, etc).
- homepage
- https://openrouter.ai/docs
- metadata
- {"clawdbot":{"emoji":"🎙️","requires":{"bins":["curl","ffmpeg","base64","jq"],"env":["OPENROUTER_API_KEY"]},"primaryEnv":"OPENROUTER_API_KEY"}}
OpenRouter Audio Transcription
Transcribe audio files using OpenRouter's chat completions API with input_audio content type. Works with any audio-capable model.
Quick start
{baseDir}/scripts/transcribe.sh /path/to/audio.m4aOutput goes to stdout.
Useful flags
# Custom model (default: google/gemini-2.5-flash)
{baseDir}/scripts/transcribe.sh audio.ogg --model openai/gpt-4o-audio-preview
# Custom instructions
{baseDir}/scripts/transcribe.sh audio.m4a --prompt "Transcribe with speaker labels"
# Save to file
{baseDir}/scripts/transcribe.sh audio.m4a --out /tmp/transcript.txt
# Custom caller identifier (for OpenRouter dashboard)
{baseDir}/scripts/transcribe.sh audio.m4a --title "MyApp"How it works
- Converts audio to WAV (mono, 16kHz) using ffmpeg
- Base64 encodes the audio
- Sends to OpenRouter chat completions with
input_audiocontent - Extracts transcript from response
API key
Set OPENROUTER_API_KEY env var, or configure in ~/.clawdbot/clawdbot.json:
{
skills: {
"openrouter-transcribe": {
apiKey: "YOUR_OPENROUTER_KEY"
}
}
}Headers
The script sends identification headers to OpenRouter:
X-Title: Caller name (default: "Peanut/Clawdbot")HTTP-Referer: Reference URL (default: "https://clawdbot.com")
These show up in your OpenRouter dashboard for tracking.
Troubleshooting
ffmpeg format errors: The script uses a temp directory (not mktemp -t file.wav) because macOS's mktemp adds random suffixes after the extension, breaking format detection.
Argument list too long: Large audio files produce huge base64 strings that exceed shell argument limits. The script writes to temp files (--rawfile for jq, @file for curl) instead of passing data as arguments.
Empty response: If you get "Empty response from API", the script will dump the raw response for debugging. Common causes:
- Invalid API key
- Model doesn't support audio input
- Audio file too large or corrupted