PDF to Markdown for RAG pipelines
Build a RAG knowledge base from PDFs. Markdown output chunks cleanly by heading. Free.
Most RAG pipelines (LangChain, LlamaIndex, Haystack) work best with Markdown. Convert your reference PDFs to .md, chunk by heading, embed, index. Cleaner chunks, better retrieval, smaller embeddings cost.
Built-in heading detection means your chunks naturally align with document structure.
Related tools
Frequently asked questions
How does this compare to using PyMuPDF or similar?
PyMuPDF gives you raw text with positions. We give you Markdown with detected structure. If you have engineering capacity, PyMuPDF is more flexible. If you want a one-shot conversion, this is faster.
What's the chunking strategy?
Output Markdown has explicit heading levels — chunk on H1/H2/H3 boundaries for naturally semantic chunks. Page breaks are also marked with horizontal rules.