content-processor

You can automatically extract and summarize YouTube transcripts by using a Go-based CLI to fetch the video transcript and generate a concise summary. The workflow fetches the transcript and outputs structured notes into a specified local directory.

The best way to convert an EPUB into structured chapter summaries is to use a CLI that splits the book into Markdown by heading levels. It processes the EPUB file, cleans the Markdown, and generates per-chapter AI summaries.

Yes, you need external dependencies like pandoc and yt-dlp installed to process web content and transcripts. These tools enable the CLI to fetch YouTube transcripts and convert web pages into structured Markdown formats.

Yes, you can split a large Markdown file into smaller sections automatically by running the Markdown split command. This allows you to specify a heading level, breaking the document into manageable chunks for per-section summarization.

Yes, this content processing approach works for both video lectures and bookmarked web pages by offering unified ingestion. It fetches transcripts from YouTube and text from websites, turning them into organized notes with highlights and reading-time tables.

EPUB to Markdown conversions may fail to separate chapters correctly if the document is not split at the proper heading level. You must specify the correct heading depth in the CLI to ensure the Markdown is partitioned accurately before summarization.