Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

TextBoxes++: A Single-Shot Oriented Scene Text Detector

OpenOCR: A general OCR system with accuracy and efficiency. Supporting 24 Scene Text Recognition methods trained from scratch on large-scale real datasets, and will continue to add the latest methods.

Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)

MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

FOTS Pytorch Implementation

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021

A scene text recognition toolbox based on PyTorch

Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.

A paper collection of recent diffusion models for text-image generation tasks, e,g., visual text generation, font generation, text removal, text image super resolution, text editing, handwritten generation, scene text recognition and scene text detection.

[ICCV 2023] Code base for Revisiting Scene Text Recognition: A Data Perspective

A collection of OCR-related datasets

Scene Text Recognition (STR) methods trained with fewer real labels (CVPR 2021)

text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.

Scene text detection and recognition based on Extremal Region(ER)