一键将手写公式图片转为可编辑的数学帖子,支持社区协作与AI训练数据生成
A Mathematical Forum Platform for Collaborative Problem Solving and Dataset Generation for AI Reasoning
- 集成图像转LaTeX的OCR流程,直接嵌入论坛发布界面
- 支持桌面与移动端,实时预览并保存为LaTeX或Markdown格式
- 构建持续增长的数学题库,可用于训练和评测AI推理能力
在线数学论坛中分享数学内容仍存在显著障碍:手动输入LaTeX易出错,独立的OCR工具需切换平台,现有论坛软件无法实现从公式图片到渲染帖子的无缝转换。我们提出一个统一系统,通过在论坛发布界面内嵌图像转LaTeX处理流水线,消除该摩擦。用户上传或拍摄数学表达式图片,系统经Mathpix OCR API识别,判断输出为LaTeX或含内联数学的纯文本,进行相应的分隔符标准化,并在提交前以LaTeX或Markdown模式实时预览渲染。系统采用三层松耦合架构:图像处理、渲染与存储,支持桌面与移动端。核心方法已申请美国临时专利。本文详述系统设计、各组件细节、数据结构及关键技术突破,并对比现有独立工具与论坛平台,论证其填补的实际空白。除即时可用性外,我们认为此类部署平台可形成持续增长、社区验证的数学问题与逐步求解数据集,为训练和评估人工智能的精确数学推理提供重要资源。
原文摘要 · Abstract (English)
Sharing mathematical content in online forums remains a significant friction point for students and educators: writing raw LATEX is error-prone, standalone optical character recognition tools require platform switching, and current forum software offers no integrated path from a photograph of a formula to a rendered post. We present a unified system that eliminates this friction by embedding an image to LATEX conversion pipeline directly inside a forum posting interface. A user uploads or captures an image of a mathematical expression; the system routes it through the Mathpix OCR API, detects whether the returned output is LATEX or plain text containing inline math, applies the appropriate delimiter normalisation, and renders a live preview in either LATEX or Markdown mode before the post is committed to the database. The architecture is organized in three loosely coupled layers: image processing, rendering, and storage, and supports both desktop and mobile clients. A provisional US patent application has been filed covering the core methods. We describe the full system design, each component in detail, the data schema, and the key technical innovations, and we position the work against existing standalone tools and forum platforms to demonstrate the practical gap it closes. Beyond immediate usability, we argue that a deployed platform of this kind constitutes a continuously growing, community-validated dataset of mathematical problems and step-by-step solutions, a resource that can be used to train and benchmark AI systems for accurate mathematical reasoning
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。