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A practitioner asks the community which open-source OCR stack is best for fully local batch processing of 20-25 page mixed-content PDFs, shortlisting tools like Docling, GLM-OCR, PaddleOCR-VL, OlmOCR 2, and MinerU while weighing VLMs against text-layer parsers for tables and scanned pages.
The paper proposes S2TDR, a structured multimodal framework that converts sticker turns in dialogues into contextually appropriate text via visual cue extraction, affective-intent inference, and context-aware reconstruction, improving downstream sentiment analysis, intent recognition, and summarization over direct sticker integration.
LlamaIndex introduced 'Max Effort' for its Extract agentic_plus tier, a dynamic-token document extraction mode that boosts Value F1 on ExtractBench Pro from 77.7 to 94.3 while offering variable billing based on computation required.
Distributed Proofreaders 是一个基于网络的协作平台，将公共领域书籍的 OCR 文本拆分成单页任务，供全球志愿者校对与排版，最终汇编成电子书并提交至 Project Gutenberg 存档。
Datalab 发布 Surya OCR 2.5，一个 689M 参数的 OCR 模型，在 OmniParseBench 上取得 85.9 分（1B 以下开源模型最高），支持 91 种语言、布局分析与表格转 HTML，吞吐量在单张 H100 上达每秒 4.5 页。
LlamaIndex released Boo Bench, a 179-page benchmark of document pages designed to trick parsers and vision language models into repetition loops, with a leaderboard and paper measuring how often each system comes back 'ghost-free'.
An open-source desktop app that combines a manga reader with Japanese OCR, local LLM translation overlays, and a page-aware chat companion, keeping original artwork intact while offering side-by-side translations.
OpenBMB released MiniCPM-OCR 1.0 (1B), a lightweight OCR model that runs locally on iPhone/iPad, plus MiniCPM-OCR-Jev (2B), a verifier that scores OCR output correctness against the source image; both ship with open weights and support llama.cpp, vLLM, SGLang, and Ollama.
A successor to the Tesseract OCR engine has been released as indra by datalab-to, notable for being just 1M parameters while showing strong gains in both quality and speed on benchmarks.
Chandra OCR 2.6 发布，宣称在 API 上比前沿模型更快、更便宜且更准确，超越 Gemini Flash、Opus 和 Sol，成本降低 5-15 倍，速度提升 2-10 倍。
An open-source document-parsing benchmark called OmniParse Bench was released, running 16,288 tests across 2,937 pages in 92 languages to compare OCR solutions like DeepSeek-OCR, PaddleOCR-VL, and Surya, showing no single parser wins on every document type.
OpenBMB 发布 MiniCPM-OCR Jev（2B 参数），一款 OCR 质量评估模型，可对文本、公式和表格区域的识别结果打 0-1 分，在 JevOCRBench 上决策 AUROC 达 93.6，超过多个更大的模型，并在多种 OCR 模型输出上保持稳定泛化。
Unlimited OCR 2 is currently the top trending paper on Papers with Code, with a chat interface available for the paper's PDF.
该论文提出实体级分析作为补充视角来评估历史文档OCR质量，使用Berrutti档案馆175份文档及5,209条人工标注实体，比较了序列识别OCR系统、OCR专用视觉-语言模型和通用视觉-语言模型，发现不同评价标准下OCR排名会变化。
百度发布 Unlimited-OCR-2，借助 SR-SWA（稀疏参考滑动窗口注意力）在有限上下文窗口内实现超长乃至无界文档解析，并同步推出 MarathonDocBench 超长文档解析基准。
作者分享如何用一台12年前的办公PC运行本地脚本（IMAP邮件轮询、Tesseract OCR、Piper TTS），把Telegram机器人例行任务从昂贵的LLM API调用转为零token的本地处理，显著降低成本。
Jerry Liu 宣布发布 OCRia-1，一款面向文档解析的前沿 VLM，在准确率、成本和延迟上均达到新的 SOTA，并在 ParseBench 及多个第三方基准上取得领先成绩。
WeVisOne-VL (WeChat Vision All-in-One) 是一个统一对象级与像素级视觉感知的视觉语言模型，通过结构化 token 预测与轻量像素解码器支持检测、定位、计数、OCR、分割和抠像等任务，在30多个基准上取得领先性能，并已开源 2B/4B 模型。
Vik Paruchuri announces a new word confidence model for OCR verification, allowing users to see exact word positions and confidence values, even on messy scans.
SoMark released OXR, a 1.3B open-source document parsing model that tops olmOCR-Bench, OmniDocBench and DocParsingBench while delivering 1.60× DeepSeek-OCR-2's throughput on a single RTX PRO 6000. It handles footnotes, formulas, tables and handwriting across 13 element types with coordinates, powered by RSI.