| tesseract-ocr/tesseract |
56,096 |
|
0 |
7 |
about 2 years ago |
1 |
February 27, 2018 |
415 |
apache-2.0 |
C++ |
| Tesseract Open Source OCR Engine (main repository) |
| JaidedAI/EasyOCR |
20,438 |
|
0 |
69 |
over 2 years ago |
32 |
September 04, 2023 |
340 |
apache-2.0 |
Python |
| Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. |
| tesseract-ocr/tessdata |
5,117 |
|
0 |
0 |
almost 3 years ago |
3 |
May 19, 2020 |
47 |
apache-2.0 |
|
| Trained models with fast variant of the "best" LSTM models + legacy models |
| wanghaisheng/awesome-ocr |
1,600 |
|
0 |
0 |
almost 4 years ago |
0 |
|
7 |
mit |
|
| A curated list of promising OCR resources |
| tesseract-ocr/tessdoc |
1,472 |
|
0 |
0 |
about 2 years ago |
0 |
|
29 |
|
HTML |
| Tesseract documentation |
| UB-Mannheim/tesseract |
1,337 |
|
0 |
0 |
over 4 years ago |
0 |
|
|
apache-2.0 |
C++ |
| Tesseract Open Source OCR Engine (main repository) |
| zhubenfu/License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9 |
1,208 |
|
0 |
0 |
almost 6 years ago |
0 |
|
28 |
|
C++ |
| works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate |
| senlinuc/caffe_ocr |
1,084 |
|
0 |
0 |
almost 6 years ago |
0 |
|
88 |
|
C++ |
| 主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构 |
| tmbdev/clstm |
737 |
|
0 |
1 |
over 6 years ago |
3 |
October 31, 2017 |
46 |
apache-2.0 |
Jupyter Notebook |
| A small C++ implementation of LSTM networks, focused on OCR. |
| LinXueyuanStdio/LaTeX_OCR_PRO |
552 |
|
0 |
0 |
about 4 years ago |
0 |
|
6 |
gpl-3.0 |
Jupyter Notebook |
| :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). |
