Tencent/WeVisDoc

English | 简体中文 [](https://github.com/Tencent/WeVisDoc) [](https://tencent.github.io/WeVisDoc) [](https://huggingface.co/Tencent/WeVisDoc-4B) [](https://huggingface.co/Tencent/WeVisDoc-2B) [](https://arxiv.org/abs/2609.20423) WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables. WeVisDoc-4B achieves an Overall score of 95.38 on OmniDocBench v1.6 and a mean Overall score of 75.54 across the three PureDocBench tracks, ranking first among the compared end-to-end parsers in all four settings. WeVisDoc-4B leads the compared end-to-end parsers across all four reported settings. Bars show scores on OmniDocBench v1.6 and PureDocBench Clean, Digital, and Real. The following tables include end-to-end document parsing specialists only. WeVisDoc results are means over three inference runs. Avg₃ is the mean of the three PureDocBench track-level Overall scores. marks baseline results obtained with our evaluation pipeline; unmarked baseline results are taken from the corresponding papers. Python 3.10+ is required. Install the vLLM and client dependencies: Start the service in…