Tessdata
Trained models with fast variant of the "best" LSTM models + legacy models
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tesseract | 56,096 | 7 | 3 months ago | 1 | February 27, 2018 | 415 | apache-2.0 | C++ | ||
| Tesseract Open Source OCR Engine (main repository) | ||||||||||
| Easyocr | 20,438 |  | 69 | 4 months 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. | ||||||||||
| Tessdata | 5,117 | a year ago | 3 | May 19, 2020 | 47 | apache-2.0 | ||||
| Trained models with fast variant of the "best" LSTM models + legacy models | ||||||||||
| Awesome Ocr | 1,600 | 2 years ago | 7 | mit | ||||||
| A curated list of promising OCR resources | ||||||||||
| Tessdoc | 1,472 | 3 months ago | 29 | HTML | ||||||
| Tesseract documentation | ||||||||||
| Tesseract | 1,337 | 3 years ago | n,ull | apache-2.0 | C++ | |||||
| Tesseract Open Source OCR Engine (main repository) | ||||||||||
| License Plate Detect Recognition Via Deep Neural Networks Accuracy Up To 99.9 | 1,208 | 4 years ago | 28 | C++ | ||||||
| works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate | ||||||||||
| Caffe_ocr | 1,084 | 4 years ago | 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 | ||||||||||
| Clstm | 737 |  | 1 | 5 years ago | 3 | October 31, 2017 | 46 | apache-2.0 | Jupyter Notebook | |
| A small C++ implementation of LSTM networks, focused on OCR. | ||||||||||
| Latex_ocr_pro | 552 | 2 years ago | 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). | ||||||||||
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