Openai Whisper
Transcribes audio into text using OpenAI's Whisper model for accurate speech-to-text conversion and analysis.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add insight68-openai-whisper npx -- -y @trustedskills/insight68-openai-whisper
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"insight68-openai-whisper": {
"command": "npx",
"args": [
"-y",
"@trustedskills/insight68-openai-whisper"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill leverages OpenAI's Whisper model to transcribe audio into text. It can handle various audio formats and languages, providing accurate transcriptions suitable for note-taking, meeting summaries, or creating captions. The transcribed text is then returned as a string.
When to use it
- Transcribe recorded lectures or presentations for later review.
- Generate written summaries of meetings or interviews from audio recordings.
- Create subtitles or captions for videos.
- Convert voice memos into editable text documents.
- Process spoken commands or instructions in a conversational AI application.
Key capabilities
- Audio transcription
- Support for various audio formats
- Multi-language support
- Returns transcribed text as a string
Example prompts
- "Transcribe this audio file: [audio_file_url]"
- "What was said in this recording? [audio_file_url]"
- "Can you give me the transcript of this meeting? [audio_file_url]"
Tips & gotchas
The accuracy of transcription depends heavily on the quality of the audio input. Ensure clear audio with minimal background noise for optimal results.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.