Stop Wasting Time Cleaning Up PDFs. Automate Your Document-to-Markdown Workflow.

If you've ever tried feeding a PDF into a RAG pipeline or importing research into Obsidian, you know the drill. The text comes out broken. Headers are mangled, tables are flattened, formatting is gone. You end up spending more time cleaning the output than you would have spent retyping the thing manually. Here's how I stopped doing that. The actual problem with PDF extraction Most extraction tools treat a PDF as a flat stream of text. They don't understand structure. Headings, lists, code blocks, tables — all of it gets flattened into a wall of words in roughly the right order with none of the hierarchy intact. For RAG this matters a lot. Poor structure means poor chunks, poor chunks mean poor retrieval, and your LLM ends up working with garbage context no matter how good your embeddings are. The problem starts way earlier in the pipeline than most tutorials acknowledge. What clean Markdown actually buys you Structured Markdown keeps the document hierarchy alive. H1s stay H1s. Lists st