# LinXueyuanStdio/LaTeX_OCR_PRO

:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).

Repository: https://github.com/LinXueyuanStdio/LaTeX_OCR_PRO
Canonical: https://ross.abutalabs.com/products/latex_ocr_pro
Language: Jupyter Notebook
License: GPL-3.0
License Family: copyleft
Topics: ocr, latex, deep-learning, seq2seq, cnn, lstm, rnn
Last push: 2024-06-11T16:35:31+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2601, "days_push": 813, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1310, forks 241 (observed 2026-08-28T04:04:19.909213+00:00)

## What it is
A deep-learning application that converts images of math formulas (printed, handwritten, and Chinese-mixed) into LaTeX code using a Seq2Seq + Attention + Beam Search model. It also supports simple symbol reasoning based on the LaTeX abstract syntax tree and includes training, visualization, and deployment tooling.

## Use cases
- convert photos of handwritten math formulas to LaTeX
- OCR math equations from images
- recognize Chinese-mixed mathematical formulas
- train a formula recognition model on custom data
- extract LaTeX from scanned documents
- symbolic reasoning over recognized formulas

## When to choose
- you need to digitize handwritten or printed math formulas into LaTeX
- you want a trainable seq2seq OCR pipeline with TensorFlow
- you need Chinese-mixed formula support

## When to avoid
- you need a production-ready maintained service (project is in maintenance mode with old TensorFlow 1.x dependencies)
- you need general document OCR beyond math formulas
- you want a modern transformer-based pretrained model without training

## Facets
- artifact type: application
- maturity: maintenance
- function: ocr, machine-learning, deep-learning, image-processing
- domain: computer-vision, artificial-intelligence, education, pdf
- platform: python
- tags: latex, math-formula-recognition, seq2seq, attention, beam-search, handwriting-recognition, tensorflow, jupyter-notebook, linux, macos, gpu

## Member repositories
- LinXueyuanStdio/LaTeX_OCR_PRO (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:19.909213+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:49:53.762570+00:00, confidence not recorded.
  - readme: https://github.com/LinXueyuanStdio/LaTeX_OCR_PRO (fetched 2026-08-28T04:04:19.909213+00:00, sha aebc7628079f)
- Data as of 2026-08-30T08:39:29.467469+00:00.