OCR software, free and offline. 开源、免费的离线OCR软件。支持截屏/批量导入图片，PDF文档识别，排除水印/页眉页脚，扫描/生成二维码。内置多国语言库。

截屏 离线OCR 搜索翻译 以图搜图 贴图 录屏 万向滚动截屏 屏幕翻译 Screenshot Offline OCR Search Translate Search for picture Paste the picture on the screen Screen recorder Omnidirectional scrolling screenshot Screen translator

📄 Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO and PaddlePaddle.

A ready-to-use, ready-to-go translation ocr tool developed by WPF/WPF 开发的一款即开即用、即用即走的翻译、OCR工具

OCR离线图片文字识别命令行windows程序，以JSON字符串形式输出结果，方便别的程序调用。提供各种语言API。由 PaddleOCR C++ 编译。

结束和新的开始

PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)

基于深度学习的漫画翻译辅助工具，包含翻译、朗读、图像去字、自动嵌字功能。 目的是帮助非专业汉化人员完成更简单，快速的翻译任务。

“Dive Into OCR” is a textbook developed by the PaddleOCR community that integrates OCR theory and practice.

PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python 3 and PyQT5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition …

OCR自动化阅卷项目

Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch

Extract hardcoded subtitles from videos using machine learning

A Paddle OCR sample for Android by Paddle-Lite from https://github.com/PaddlePaddle/PaddleOCR 对 PaddleOCR 的简单封装，使其能够快速上手使用而不需繁琐的配置。

基于 Serverless 架构部署通用文字识别 PaddleOCR

Experiment and integrate with different OCR frameworks seamlessly

A Genshin Impact artifact rater sticking upon artifacts inside the game window. 刻晴办公桌 | 原神 | 圣遗物评分。集成在游戏窗口之上的原神圣遗物导出、评分工具，无需游戏内外来回切换对比，游戏中快速计算与查阅结果。

A simple way to deploy PaddleOCR based on FastAPI. (PaddleOCR 的 FastAPI 快速部署方案)

身份证OCR智能识别、证件提取以及验证码自动化解析功能,项目核心基于深度学习技术。模型、数据集、finetune和API支持，欢迎自取使用，并持续关注我输出的更多模型。V:chenganp

This is a project that translates a .pdf file, preserving the original layout of that .pdf file. [UPDATED] We have achieved the Second Prize of the Cinnamon AI Bootcamp 2023.