Tesseract Open Source OCR Engine (main repository)
-
Updated
Aug 12, 2021 - C++
{{ message }}
Tesseract Open Source OCR Engine (main repository)
Pure Javascript OCR for more than 100 Languages
ShareX is a free and open source program that lets you capture or record any area of your screen and share it with a single press of a key. It also allows uploading images, text or other types of files to many supported destinations you can choose from.
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
The Swift machine learning library.
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Fast and simple OCR library written in Swift
yolo3+ocr
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
A tensorflow implementation of EAST text detector
Transforms PDF, Documents and Images into Enriched Structured Data
[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别
Text recognition (optical character recognition) with deep learning methods.
A unified toolkit for Deep Learning Based Document Image Analysis
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
A wrapper to work with Tesseract OCR inside PHP.
Experimental optical character recognition app
验证码识别
A supercharged version of paperless: scan, index and archive all your physical documents
Official implementation of Character Region Awareness for Text Detection (CRAFT)
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
Add a description, image, and links to the ocr topic page so that developers can more easily learn about it.
To associate your repository with the ocr topic, visit your repo's landing page and select "manage topics."
建议精简版抛弃exe,直接打包成压缩文件。再带一个批处理,利用已经安装好的Java环境直接命令行运行。