Turn any PDF into clean Markdown with a self-hosted Docling API
I kept hitting the same wall building LLM pipelines: PDFs are where clean data goes to die. Tesseract chokes the moment a document has a table, multi-column layout, or a scanned page with any skew. You end up hand-rolling regex to patch up garbage OCR output, which is a miserable way to spend an afternoon.
Docling (IBM's open-source document parser) actually solves this. It converts PDFs, DOCX, PPTX, images, and scanned docs into clean Markdown or JSON — tables come out as real tables, reading order survives multi-column layouts, and it does all of this with local layout models, so nothing leaves your machine.
Why this matters for LLM pipelines specifically
Feeding an LLM "PDF text dumped via pdftotext" gives it garbage: table cells smeared into running prose, headers and footers interleaved with body text, reading order scrambled on multi-column pages. Docling's layout model actually understands document structure before it extracts text, so what comes out the other end is something an LLM (or a human) can actually use for RAG, summarization, or extraction.
