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Sal-Parsing

Comparison of PDF-to-Markdown parsing tools for scientific research papers (arXiv-style).

Tools Evaluated

Tool Tiers Tested Guide
Marker 1, 4 Guide
MarkItDown 1, 2 Guide
Docling 1–5 Guide
SciPDF 3–5 Guide
PaddleOCR 1 Guide
dots.ocr Guide
OCRFlux Guide
DeepSeek-OCR Guide
Dolphin Guide
MinerU2.5 benchmarked (M2 Pro) Guide
Chandra benchmarked (M2 Pro) Guide
QARI-OCR benchmarked (Arabic) Survey

Structure

parsing tools/          # Setup guides with tier configs and benchmarks
  comparison_reports/   # Side-by-side quality comparisons
benchmark/              # Tier configs and benchmark scripts
output/                 # Parsed markdown/JSON per tool and tier
papers/                 # Source PDFs (gitignored)

Benchmark document

Every parse under output/ is of the same source document, so the tools and tiers are directly comparable:

Zhang, Alex L., Tim Kraska, and Omar Khattab. Recursive Language Models. arXiv:2512.24601v2. Licensed CC BY 4.0.

It was chosen for having the failure modes that separate these tools: a multi-column layout, inline math, footnotes, and a multi-section comparison table with grouped column headers.

Comparison Reports

License and attribution

Original work in this repository (guides, comparison reports, research reports, benchmark scripts, notebooks) is MIT licensed: see LICENSE. Third-party material and the reasoning behind which documents are and are not republished here are documented in NOTICE.md.

About

Benchmark of 12 PDF-to-Markdown parsers (Marker, Docling, MinerU2.5, Chandra, PaddleOCR, QARI) on scientific papers, with per-tool setup guides and Arabic OCR research reports

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