Openai Whisper
Transcribes audio into text using OpenAI's Whisper model, enabling voice command processing and content analysis.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add steipete-openai-whisper npx -- -y @trustedskills/steipete-openai-whisper
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"steipete-openai-whisper": {
"command": "npx",
"args": [
"-y",
"@trustedskills/steipete-openai-whisper"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The steipete-openai-whisper skill enables AI agents to transcribe audio files into text using OpenAI's Whisper model. It supports multiple languages and can handle various audio formats, making it useful for converting spoken words into written content.
When to use it
- Transcribing voice recordings into text for documentation or analysis.
- Converting interviews or meetings into written notes.
- Processing customer service calls for sentiment or keyword analysis.
Key capabilities
- Audio transcription using OpenAI's Whisper model
- Support for multiple languages
- Compatibility with common audio file formats
Example prompts
- "Transcribe this audio file into text."
- "Convert the voice recording to written English."
- "Extract the spoken words from the provided MP3 file."
Tips & gotchas
- Ensure the audio files are clear and not too distorted for accurate transcription.
- Be aware of any language-specific limitations or model constraints when using Whisper.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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