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Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | openai-whisper-api |
| description | Transcribe audio via OpenAI Audio Transcriptions API (Whisper). |
| homepage | https://platform.openai.com/docs/guides/speech-to-text |
| origin | {"source":"openclaw","url":"https://github.com/openclaw/openclaw","version":"90eb5b073f"} |
Transcribe an audio file via OpenAI’s /v1/audio/transcriptions endpoint. Set OPENAI_BASE_URL to use an OpenAI-compatible proxy or local gateway.
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a
Defaults:
whisper-1<input>.txt{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1 --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
Set OPENAI_API_KEY, or configure it in the active Moltis config file ($OPENCLAW_CONFIG_PATH, default ~/.moltis/Moltis.json). Optionally set OPENAI_BASE_URL (for example http://127.0.0.1:51805/v1) to use an OpenAI-compatible proxy or local gateway:
{
skills: {
"openai-whisper-api": {
apiKey: "OPENAI_KEY_HERE",
},
},
}
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