Openai Whisper
Transcribes audio into text using OpenAI's Whisper model, powered by jiulingyun for enhanced accuracy and integration.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add jiulingyun-openai-whisper npx -- -y @trustedskills/jiulingyun-openai-whisper
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"jiulingyun-openai-whisper": {
"command": "npx",
"args": [
"-y",
"@trustedskills/jiulingyun-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 perform speech recognition. It can transcribe audio into text, allowing AI agents to understand spoken language and convert it into a usable format. The tool supports various languages and offers robust performance for accurate transcriptions.
When to use it
- Meeting transcription: Automatically generate transcripts of online meetings or conference calls.
- Voice command processing: Enable an agent to respond to voice commands, such as controlling smart home devices.
- Audio note summarization: Convert spoken notes into written text for easy review and organization.
- Podcast captioning: Create accurate captions for podcasts and other audio content.
Key capabilities
- Speech-to-text transcription
- Support for multiple languages
- Utilizes OpenAI's Whisper model
- Audio processing
Example prompts
- "Transcribe this audio file: [audio_file_url]"
- "What was said in this recording? [audio_file_url]"
- "Can you give me a text summary of this voice memo? [audio_file_url]"
Tips & gotchas
The quality of the transcription depends heavily on the audio clarity. Background noise and poor microphone quality can negatively impact accuracy.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.