distill

To convert a YouTube transcript into structured markdown documentation, paste the video URL or transcript text and initiate the process. The system auto-detects the input, extracts relevant information, and outputs a single kebab-case .md file containing headers, numbered concepts, and source footnotes.

Yes, you can extract knowledge from PDFs and DOCX files into a single markdown file. The system auto-detects these input formats alongside web pages and pasted text, processing them into one organized project knowledge document with standardized headers and concept sections.

Yes, you need yt-dlp installed to process YouTube URLs for knowledge extraction. This dependency allows the system to automatically fetch and extract transcript data from YouTube videos, which is then converted into a structured markdown knowledge file.

The best way to turn web articles and blog posts into project knowledge documents is to paste the URLs and let the system auto-detect the web page format. It extracts the core concepts and generates a standards-compliant markdown file with relevance sections and summaries.

The system ensures markdown output follows project documentation conventions by reading provided diagram and example reference files before authoring. This reference-driven approach enforces strict formatting rules, producing a kebab-case .md file with a standardized header block and numbered sections.

When auto-detecting pasted text versus file inputs for markdown conversion, the system handles both but requires pasted text to be clearly delimited. It processes URLs, PDFs, DOCX, and plain text, but always outputs a single kebab-case .md file regardless of the original input format.