youtube-to-markdown

To convert a YouTube video to markdown, this Skill downloads video transcripts, generates categorized summaries, and outputs a structured markdown file containing metadata, descriptions, and transcripts. It uses yt-dlp for data extraction and optionally Whisper for transcription fallback.

Yes, yt-dlp is required to extract transcripts and video metadata from YouTube videos. The Skill relies on yt-dlp to fetch video data, which is then cleaned and structured into markdown format.

Yes, openai-whisper and mlx-whisper serve as fallback transcription tools when a YouTube video lacks manual or auto-generated captions. They process the video audio to generate a transcript that is then structured into markdown format.

The best way to summarize long educational lectures or podcast interviews is to use a content summarization tool that categorizes video content into types like Tips, Interview, Educational, or Tutorial, extracting key takeaways without watching the entire video.

Yes, this YouTube to markdown transcription approach supports metadata extraction. It automatically fetches video descriptions and metadata, organizing them alongside cleaned transcripts and categorized summaries into well-organized markdown output files.

YouTube video transcripts may fail to convert into structured markdown if the video has no available captions and the optional Whisper fallback transcription dependencies are not installed or configured properly.