---
license: mit
arxiv: 2602.11960
github: ld-lab-pulsia/vlmparse
library_name: vlmparse
tags:
- vision
- ocr
- vlm
- document-parsing
- image-to-text
space: pulsia/fr-bench-pdf2md
language:
- fr
---
# fr-bench-pdf2md Benchmark

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[[📜 arXiv]](https://arxiv.org/abs/2602.11960) | [[Dataset (🤗Hugging Face)]](https://huggingface.co/datasets/pulsia/fr-bench-pdf2md) | [[pypi]](https://pypi.org/project/vlmparse/) | [[vlmparse]](https://github.com/ld-lab-pulsia/vlmparse) | [[Benchmark]](https://github.com/ld-lab-pulsia/benchpdf2md) | [[Leaderboard]](https://huggingface.co/spaces/pulsia/fr-bench-pdf2md)

</div>

fr-bench-pdf2md is a benchmark and dataset for evaluating PDF-to-Markdown conversion with vision–language models on challenging French documents. It is designed for practitioners who need reliable document parsing as a front-end to RAG and other LLM pipelines, where the quality of the Markdown (structure + content) matters more than exact character-level formatting.