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🔥牛了!微信正式开源端到端文档解析模型 WeVisDoc,一张图直接变 Markdown!

🔥牛了!微信正式开源端到端文档解析模型 WeVisDoc,一张图直接变 Markdown! 整页图片一次输出完整 Markdown:正文走 Markdown,公式走 LaTeX,表格走…🔥牛了!微信正式开源端到端文档解析模型 WeVisDoc,一张图直接变 Markdown! 整页图片一次输出完整 Markdown:正文走 Markdown,公式走 LaTeX,表格走…

This is a dev post classified by Jev as Other (a tool drop), kept by the Dev Radar because it carries real work, not commentary.

🔥牛了!微信正式开源端到端文档解析模型 WeVisDoc,一张图直接变 Markdown! 整页图片一次输出完整 Markdown:正文走 Markdown,公式走 LaTeX,表格走 HTML。拍照合同、翻拍论文、扫描报表都能直接吃。 关键亮点: 🔹单模型端到端:版面理解、文字识别、公式识别、表格重建全包,无需流水线 🔹双版本开源:2B 轻量好部署,4B 打退化页面更稳 🔹OmniDocBench v1.6:95.38,端到端组第一 🔹PureDocBench 三赛道均值:75.54,Clean / Digital / Real 全第一 🔹公式和表格是最大优势,脏图上比很多流水线更扛造 🔹基于 Qwen3-VL-2B/4B,Apache-2.0 论文:https://arxiv.org/abs/2609.20423 GitHub:https://github.com/Tencent/WeVisDoc HF:Tencent/WeVisDoc-2B / WeVisDoc-4B #WeVisDoc #开源 #文档解析 #OCR #RAG #微信 #腾讯AI​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ #WeChat

Posted by SuSu_酥酥👅 (15.6k followers) 1 days ago · 160 likes · 20.9k views · view the original post on X. Kept by the Dev Radar as Other. Tools mentioned: arXiv.org, wevisdoc, wemm-embedding, arXiv.org.

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