Solving RAG Bottlenecks: A 2026 Open-Source Guide to PDF Table Parsing
AvenueJay · reddit · 2026-08-12
Addressing the persistent challenge of PDF table extraction in RAG architectures, the author summarizes the pros, cons, and use cases of mainstream open-source tools. The article points out that PDF tables are essentially just text with coordinates, lacking semantic structure, which makes parsing highly error-prone.
Open-Source Tool Landscape:
- Docling: Layout-aware, preserves structure well, but can be slow in production and produce garbage on some documents.
- pdfplumber: Good for simple bordered tables, but falls apart on borderless or complex layouts.
- Camelot: Built for table extraction (lattice/stream modes), but requires manual parameter tuning per document.
- MinerU: High-quality parser from OpenDataLab outputting Markdown/JSON, handles formulas/charts well, but LaTeX/HTML outputs can inflate token counts.
- Marker / chandra: From the datalab team, uses VLMs to understand layout. Runs efficiently on consumer hardware but incurs token costs.
- GLM OCR: Multimodal OCR model that understands visual context well, suitable for scans and handwriting, but expensive at scale.
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