# Academic document processing

PP-FormulaNet_plus-M is an enhanced formula recognition model developed by the PaddleOCR team. It supports Chinese formula recognition and improves the processing ability for complex formulas.

PP-FormulaNet_plus-L is an enhanced formula recognition model developed by the PaddleOCR team. It supports Chinese formula recognition, and the maximum number of tokens is increased to 2560, making it suitable for complex formula scenarios.

A pre-trained TrOCR model specifically designed for Typst formula OCR tasks, capable of converting mathematical formulas in images into text format.

TexTeller is an end-to-end formula recognition model based on the ViT architecture, capable of recognizing mathematical formulas in natural images and converting them into LaTeX format.

Texify is an OCR tool specifically designed to convert formula images and text into LaTeX format.

This model is a LaTeX OCR model fine-tuned based on Nougat-base, specifically designed to generate LaTeX code from images, with a particular optimization for the recognition ability of mathematical formula images.

Nougat is a model based on the Donut architecture, specifically trained for transcribing scientific PDFs into easy-to-use Markdown format