transcribe-and-analyze

To transcribe a YouTube video locally and analyze its content, this Skill downloads the media using yt-dlp, transcribes the audio with WhisperKit, and then analyzes the transcript using OpenAI or Ollama models to extract summaries and insights.

Yes, you can use Ollama offline to analyze a transcript generated by WhisperKit. The Skill supports optional local analysis via Ollama, allowing you to process transcribed text and generate summaries without requiring external API connections.

This transcription tool works with both YouTube URLs and direct media links. It uses yt-dlp to handle media downloading from various online sources, ensuring WhisperKit can access and transcribe the audio or video content locally.

To run audio transcription and AI analysis locally, you need yt-dlp for media downloading, whisperkit-cli for local transcription, and openai or Ollama for AI-powered text analysis. These dependencies enable the full download, transcribe, and analyze workflow.

The best way to get a summary from a recorded webinar transcript is to use the AI-powered analysis feature, which feeds the WhisperKit-generated transcript into OpenAI or Ollama models to automatically extract key points and insights.

When processing large video files for transcription, limitations depend on your local hardware capacity for WhisperKit execution and the media downloading constraints of yt-dlp, as all transcription occurs directly on your machine.