Voice Transcribe
clawhubAudio & Voice Medium
3.6
Transcribe audio files using OpenAI's gpt-4o-mini-transcribe model with vocabulary hints and text replacements. Requires uv (https://docs.astral.sh/uv/).
clawhub install voice-transcribe
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
# Install Skill (downloads SKILL.md to .claude/skills/) clawhub install openai-whisper-api # Then just tell Claude: "use Openai Whisper Api to help me..."
# Same install command — works with all SKILL.md-compatible AI coding tools clawhub install openai-whisper-api
This Skill is compatible with the OpenClaw standard. After installation, a SKILL.md file is auto-generated, usable by any OpenClaw-compatible AI Agent (Claude Code, Cursor, Windsurf, etc.).
/v1/audio/transcriptions endpoint.{baseDir}/scripts/transcribe.sh /path/to/audio.m4a
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
OPENAI_API_KEY, or configure it in ~/.clawdbot/clawdbot.json:{
skills: {
"openai-whisper-api": {
apiKey: "OPENAI_KEY_HERE"
}
}
}
```bash
clawhub install openai-whisper-api
clawhub config set OPENAI_API_KEY sk-xxxxxxxx
clawhub run openai-whisper-api --file meeting.mp3
# 输出: { "text": "会议内容转录文字...", "language": "zh" }
```Create chapters, highlights, and show notes from podcast audio or transcripts. Use when a user wants chapter markers, highlight clips, or show-note drafts without publishing or distribution actions.
clawhub install podcast-chaptering-highlights