Azure Ai Transcription Py
Helps with Azure, AI as part of deploying and managing cloud infrastructure workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add azure-ai-transcription-py npx -- -y @trustedskills/azure-ai-transcription-py
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"azure-ai-transcription-py": {
"command": "npx",
"args": [
"-y",
"@trustedskills/azure-ai-transcription-py"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill leverages the Azure AI Transcription service to convert audio files into text. It allows you to specify language, diarization (speaker identification), and other transcription parameters programmatically using Python. The resulting transcriptions can be downloaded in various formats like TXT, VTT, and JSON.
When to use it
- Transcribing meeting recordings for documentation or analysis.
- Converting podcast episodes into written scripts.
- Generating captions for videos automatically.
- Processing audio interviews for research purposes.
- Creating searchable archives of spoken content.
Key capabilities
- Programmatic access to Azure AI Transcription via Python.
- Configuration of transcription language and region.
- Diarization (speaker identification) support.
- Downloadable transcriptions in TXT, VTT, and JSON formats.
Example prompts
- "Transcribe this audio file:
audio.wavinto English." - "Generate a diarized transcription of
meeting_recording.mp3." - "Create a VTT caption file for
lecture.m4a."
Tips & gotchas
- Requires an active Azure subscription and appropriate credentials to access the AI Transcription service.
- Transcription accuracy depends on audio quality; noisy recordings may produce less accurate results.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.