Openai Whisper Api
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Peter Steinberger
@steipete
What This Skill Does
Transcribes audio files to text using OpenAI's Whisper API. Supports multiple input formats, language hints, and optional JSON output.
Replaces manual transcription services or building a custom integration with OpenAI's speech-to-text endpoint.
When to Use It
- Transcribe a recorded meeting or lecture to text
- Generate subtitles or captions from an audio file
- Convert voice memos into written notes
- Extract spoken content from a podcast episode
- Create a text transcript of an interview recording
Install
$ openclaw skills install @steipete/openai-whisper-apiOpenAI Whisper API (curl)
Transcribe an audio file via OpenAI’s /v1/audio/transcriptions endpoint.
Quick start
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a
Defaults:
- Model:
whisper-1 - Output:
<input>.txt
Useful flags
{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
API key
Set OPENAI_API_KEY, or configure it in ~/.clawdbot/clawdbot.json:
{
skills: {
"openai-whisper-api": {
apiKey: "OPENAI_KEY_HERE"
}
}
}
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