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

翻译：在在线论坛中分享数学内容仍是学生和教师面临的一大障碍：直接编写原始LATEX代码容易出错，独立的光学字符识别工具需要切换平台，而现有的论坛软件无法提供从公式照片到渲染帖子的集成路径。我们提出一个统一系统，通过将图像到LATEX的转换流程直接嵌入论坛发帖界面来消除这一障碍。用户上传或拍摄数学表达式图像后，系统通过Mathpix OCR API处理图像，检测返回结果是LATEX还是包含内联数学公式的纯文本，应用适当的分隔符规范化，并在帖子提交到数据库前以LATEX或Markdown模式生成实时预览。该架构包含三个松散耦合的层次：图像处理层、渲染层和存储层，并同时支持桌面端和移动端客户端。我们已提交涵盖核心方法的美国临时专利申请。本文详细描述了完整系统设计、各组件细节、数据模式以及关键技术革新，并将本工作与现有独立工具和论坛平台进行对比，以展示其填补的实际空白。除了即时可用性外，我们认为此类已部署平台能够构成持续增长且经社区验证的数学问题与逐步解答数据集——这一资源可用于训练和评估具有精准数学推理能力的人工智能系统。