podcast-synthesize

To convert a YouTube podcast transcript into structured markdown notes, provide the episode URL and topic. The system retrieves the transcript, extracts metadata, and generates a searchable markdown document saved to your local knowledge base.

Yes, you can automatically extract podcast metadata from YouTube. The system retrieves the episode title, channel name, guest information, and duration alongside the transcript to populate the structured markdown template.

The best way to organize YouTube podcast research notes is by topic. The system automatically saves generated markdown files under a dedicated topic directory and updates the knowledge base index for repeatable, searchable access.

You do not necessarily need yt-dlp to retrieve YouTube transcripts for markdown synthesis. The system supports transcript retrieval using either yt-dlp or the YouTube Transcript API to fetch the text content.

Transcript retrieval works by fetching available caption data directly via yt-dlp or the YouTube Transcript API. The system processes this text output to synthesize structured markdown notes without requiring manual audio downloads.

Limitations when generating markdown from YouTube podcast transcripts depend on YouTube caption availability. If a podcast lacks auto-generated or manual transcripts, the retrieval APIs cannot extract text, preventing markdown synthesis.