This project implements an OCR system specifically for mathematical formulas using a Seq2Seq architecture with Attention mechanism and Beam Search. The model processes images through CNN layers, then uses LSTM/GRU RNN layers to decode the visual features into LaTeX code. It supports handwritten, printed, and Chinese-mixed mathematical formulas. The system is built on TensorFlow with LaTeX abstract syntax tree structures for output representation.