A practical document-parser playbook says layout and scan quality matter more than rankings
emmettvance · reddit · 2026-07-25
The post argues that document parser selection should start from the document type and downstream need, not from abstract rankings.
- If PDFs already contain digital text, plain extraction such as PyMuPDF may be enough.
- Scanned pages or photos require OCR or a vision step.
- Messy layouts, multi-column pages, merged cells, and borderless tables are where layout-aware tools like Docling, Marker, or LlamaParse matter most.
- Scale, budget, and residency constraints decide whether to use cloud APIs or local tools.
- If the task is only text for RAG, a parser is enough; if you need fields or page citations, you need an extra extraction layer.
The author’s main point is to reduce the option set to two or so candidates based on the document characteristics, then test them on real documents.
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