Chapter 6
MinerU vs Docling vs Marker
MinerU is the most popular open-source PDF parser. But "most popular" doesn't mean "best for your documents." Here's when MinerU wins, when Docling or Marker is the better choice, and how to switch.
Quick Comparison
| Dimension | MinerU | Docling | Marker |
|---|---|---|---|
| GitHub Stars | 72.3K | 18K | 23K |
| Best for | Chinese + multilingual PDFs | Enterprise document understanding | English academic papers |
| OCR Engine | PaddleOCR (built-in) | EasyOCR + Azure (pluggable) | Tesseract + Surya |
| GPU Required | Recommended (CPU works) | Optional | Recommended |
| Table Extraction | Excellent (Chinese-optimized) | Good (layout hierarchy) | Fair (basic tables) |
| Formula/LaTeX | Good | Excellent (equation parsing) | Good |
| Output Formats | Markdown, JSON, HTML | Markdown, JSON, DocTags | Markdown, JSON, HTML |
When MinerU Wins
- Chinese, Japanese, Korean documents — PaddleOCR was built for CJK. MinerU's CJK accuracy is measurably better than both alternatives.
- Mixed-language PDFs — Documents with Chinese + English side-by-side. MinerU's layout model handles multi-column bilingual layouts that confuse Docling and Marker.
- Complex tables with merged cells — MinerU's table extraction handles merged cells, spanning headers, and nested tables better than either alternative.
- Scanned documents at scale — PaddleOCR is faster than EasyOCR + Tesseract for batch OCR workloads. If you're processing thousands of scanned PDFs, MinerU is the throughput winner.
When MinerU Loses
- Enterprise document understanding — Docling's layout hierarchy and document structure understanding (headings, sections, reading order) is more sophisticated. If you need structured document understanding beyond text extraction, Docling wins.
- Academic papers (English) — Marker was built by a researcher for research papers. Its LaTeX formula extraction and citation handling are better for English academic content.
- Simple English PDFs — For born-digital English PDFs without complex layouts, all three tools work fine. Marker has the simplest API in this case.
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Full chapter continues with:
Full accuracy benchmarks across 6 document types (text, scanned, mixed, table-heavy, formula-heavy, bilingual) · Speed comparison at 100/1K/10K document scale · Detailed decision matrix with document type scoring · Migration guide: Marker → MinerU and Docling → MinerU · Cost comparison: GPU hours per 1,000 pages for each tool
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