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 # PDF Parse Bench
 
+[![GitHub](https://img.shields.io/badge/GitHub-phorn1%2Fpdf--parse--bench-181717?logo=github&logoColor=white)](https://github.com/phorn1/pdf-parse-bench)
+[![PyPI](https://img.shields.io/pypi/v/pdf-parse-bench)](https://pypi.org/project/pdf-parse-bench/)
+[![arXiv](https://img.shields.io/badge/arXiv-2512.09874-b31b1b?logo=arxiv)](https://arxiv.org/abs/2512.09874)
+[![arXiv](https://img.shields.io/badge/arXiv-2603.18652-b31b1b?logo=arxiv)](https://arxiv.org/abs/2603.18652)
+
 Benchmark for evaluating how effectively PDF parsing solutions extract **mathematical formulas** and **tables** from documents.
 
 We generate synthetic PDFs with diverse formatting scenarios, parse them with different parsers, and score the extracted content using **LLM-as-a-Judge**. This semantic evaluation approach [substantially outperforms traditional metrics](https://github.com/phorn1/pdf-parse-bench#why-llm-as-a-judge) in agreement with human judgment.