DocCrush

Convert any document into clean Markdown for AI.

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One thing that would be great is preserving footnotes and endnotes properly in the Markdown output, since they often get flattened or dropped during conversion. Also, if you could add a CLI flag for choosing heading levels (like forcing h2 instead of h3 for detected sections), that would make the output much more consistent for downstream RAG pipelines.

Tried it on a messy scanned PDF and the table extraction came through surprisingly intact, saved me a ton of cleanup before feeding it into my RAG pipeline.

Really solid for pulling clean text out of messy docs. One thing that would make it way more useful for my workflow though is preserving the original page numbers or section headers as metadata, so when I chunk things for RAG I still know where each snippet came from.

Finally tried this on a messy scanned PDF and the tables actually came through intact, which is more than I can say for most converters I've used. Set up a quick batch job through the CLI too and it just worked.

honestly this looks super useful for RAG pipelines, but it would be a huge win if you could add an option to output with YAML frontmatter included automatically, so the title, author and page count get bundled right into the markdown file for easier chunking downstream.

Super useful for RAG pipelines. One thing that would make this even better is the ability to preserve original heading hierarchy and add frontmatter metadata (title, author, page count) automatically so the output drops straight into documentation sites without extra cleanup.

honestly looks solid for our RAG setup. one thing that would be super useful is a way to preserve the original page numbers or section headers as metadata in the markdown output, since right now our chunking loses that context. maybe a config flag for it?