L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

openrouter-transcribe

openrouter-transcribe

Transcribe audio files via OpenRouter using audio-capable models (Gemini, GPT-4o-audio, etc).

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

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.m4a

Output 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

  1. Converts audio to WAV (mono, 16kHz) using ffmpeg
  2. Base64 encodes the audio
  3. Sends to OpenRouter chat completions with input_audio content
  4. 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
Skills enregistrées