MinerU vs opendataloader-pdf
Heavyweight document-to-markdown/JSON parser — PDFs plus Office (docx/pptx/xlsx) through layout analysis and OCR into LLM-ready output for RAG and agentic pipelines. 73k stars, self-hostable. — versus — Deterministic PDF parser for AI pipelines: #1 extraction accuracy (0.907) on its public bench, bounding boxes on every element, 0.015s/page — plus the first open PDF auto-tagging for accessibility.
Same heavyweight PDF-to-structured-data slot: MinerU throws ML layout analysis and OCR at everything; OpenDataLoader is deterministic-first with an optional hybrid AI mode — and beats it on extraction accuracy in its published bench at a fraction of the compute.
| MinerU | opendataloader-pdf | |
|---|---|---|
| Stars | 76k | 28k |
| Forks | 6.3k | 2.7k |
| Language | Python | Java |
| License | NOASSERTION | Apache-2.0 |
| Last activity | yesterday | yesterday |
| Topics | ocr, rag | ocr, rag |
| Curated connections | 9 | 2 |
MinerU — the curator's take
The incumbent when document variety is the problem: beyond PDFs it handles Office formats, with mature layout analysis (reading order, tables, formulas) and a huge user base shaking out edge cases. NOT the lightest option — it's a full pipeline with model downloads and real hardware appetite; for a handful of clean PDFs a smaller tool is faster to stand up. Check the license (NOASSERTION on GitHub — AGPL-family, matters for commercial use).
opendataloader-pdf — the curator's take
Two products in one repo, both rare: a benchmark-topping deterministic parser (Markdown/JSON/HTML with bounding boxes, XY-Cut++ reading order, 0.015s/page, hybrid AI mode when you want it) and the first open-source auto-tagging to Tagged PDF — the accessibility path, built with the PDF Association and validated by veraPDF. Java core with Python/Node SDKs. NOT fully open at the edges: PDF/UA export and the accessibility studio are the enterprise add-on, and Java 11+ is a heavier runtime than the Rust competition. Benchmark caveat: the #1 score is on their own (public, reproducible) bench — verify on your documents.