Open Source C++ OCR Software

Tesseract is an open source OCR or optical character recognition engine and command line program. OCR is a technology that allows for the recognition of text characters within a digital image. With the latest version of Tesseract, there is a greater focus on line recognition, however it still supports the legacy Tesseract OCR engine which recognizes character patterns. Tesseract can recognize over 100 languages out-of-the-box, and can be trained to recognize other languages. It supports various output formats, including plain text, HTML, PDF and more. It also has unicode (UTF-8) support.

Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut. The resulting text will be saved to the clipboard by default. Supports 90+ languages including Chinese, English, French, German, Japanese, Korean, Russian, and Spanish. Portable and does not require installation. See http://capture2text.sourceforge.net for details.

This software allows you to translate any text on screen. Basically it is a combination of screen capture, OCR and translation tools. More info and the latest release on the homepage (https://github.com/OneMoreGres/ScreenTranslator)

The main purpose of this program is to provide functionality for extract hardcoded subtitles (hardsub) from video. It provides two main features: 1) Autodetection of frames with hardcoded text (hardsub) on video with saving info about timing positions. 2) Generation of cleared from background text images, which allows with usage of OCR programs (like FineReader, Subtitle Edit, Google Drive) to generate complete subtitles with original text and timing. For working of this program on Windows will be required "Microsoft Visual C++ Redistributable runtime libraries 2022": https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads Latest versions were built and tested on: Windows 10 x64, Ubuntu 20.04.5 LTS, openSUSE Leap 15.4, Arch Linux (EndeavourOS Cassini Nova 03-2023) For faster support in case of bug fixes please contact me in: https://vk.com/skosnits For donate: https://sourceforge.net/projects/videosubfinder/donate

Alternative download for tesseract-ocr project

gImageReader is a simple Gtk/Qt front-end to tesseract. Features include: - Import PDF documents and images from disk, scanning devices, clipboard and screenshots - Process multiple images and documents in one go - Manual or automatic recognition area definition - Recognize to plain text or to hOCR documents - Recognized text displayed directly next to the image - Post-process the recognized text, including spellchecking - Generate PDF documents from hOCR documents **Note**: This page is only a mirror for the downloads. Development is happening on github at https://github.com/manisandro/gImageReader, release binaries are also posted there.

Deploy license plate and vehicle recognition with Rekor’s OpenALPR suite of solutions designed to provide invaluable vehicle intelligence which enhances business capabilities, automates tasks, and increases overall community safety! Rekor’s OpenALPR suite of solutions utilizes artificial intelligence and machine learning to greatly surpass legacy OCR solutions. Now, in real-time, users can receive a vehicle's plate number, make, model, color, and direction of travel. Rekor’s OpenALPR suite of solutions allows law enforcement and homeowners to protect their communities, while businesses can boost customer loyalty by receiving alerts the moment a plate of interest is detected. Rekor’s OpenALPR suite of solutions is a force multiplier. Rekor Scout™ upgrades nearly any IP, traffic, or security camera to give you an immediate edge, while Rekor CarCheck analyzes vehicle images and returns valuable data for countless business use-cases.

2023-08-15: Hathi Download Helper 1.2.3 released Hathi Download Helper is a tool for downloading public domain books from hathitrust.org. Dependencies: - for merging of pdf files the freeware "pdftk" (http://www.pdflabs.com/) is used. Miscellaneous: - Developed under Qt 5.14.2 (mingw) Win 10 Pro - Compatible to Qt5 with Webkit - tested with Win 10 Pro, Mac OS 10.15 Catalina, Ubuntu 16.04-18.04 - binary installer for windows: HDH_vX.Y.Z_setup.exe - installer for Mac OS X: HDH_vX.Y.Z_setup_MacOsX - AppImage for Linux-Ubuntu x64 LTS versions An alternative download method using Firefox is described under the following link: https://sourceforge.net/p/hathidownloadhelper/alternative/ E-Mail contact: hathidownloadhelper@hotmail.com Facebook: https://www.facebook.com/hathidownloadhelperTool

PaddleOCR offers exceptional, multilingual, and practical Optical Character Recognition (OCR) tools that can help users train better models and apply them into practice. Inspired by PaddlePaddle, PaddleOCR is an ultra lightweight OCR system, with multilingual recognition, digit recognition, vertical text recognition, as well as long text recognition. It features a PPOCR series of high-quality pre-trained models, which includes: ultra lightweight ppocr_mobile series models, general ppocr_server series models, and ultra lightweight compression ppocr_mobile_slim series models. PaddleOCR is easy to install and easy to use on Windows, Linux, MacOS and other systems.

OCR Manga Reader is a free and open source Android app that allows you to quickly OCR and lookup Japanese words in real-time. It does not have ads or telemetry/spyware and does not require an Internet connection. Supports both EDICT and EPWING dictionaries. Requires Android 4.0 (Ice Cream Sandwich) or higher. See http://ocrmangareaderforandroid.sourceforge.net/ for details.

0. built-in fixes for a large number of issues with the official version 1. a simple plug-in mechanism added, based on which several OCR and audio playback engines plugged 2. completely refactored all implementations to reduce runtime CPU and memory footprint, also query efficiency improved 3. the future goal is to abstract functional extensions and dictionary formats processing into complete plug-ins to further enhance the scalability and maintainability 内置大量的官方版本问题的修正；先期添加了一个简单的插件机制，并基于该机制接入了多个 OCR 划词 和 音频播放 引擎；后期在增强易用性的基础上为提高查询效率、减少运行时 CPU 及 内存 占用、降低代码维护难度，完全重构了所有的实现；将来的目标是将功能扩展和词典格式处理抽象为完整的插件实现，以进一步增强应用的扩展性和可维护性。

Timeline based editor for creating Compact Disc Subcode Graphics (also known as CD+G or CDG). Both karaoke and multimedia styles of content are supported. Please visit cdgmagic.sf.net for examples playable directly in the HTML5 CD+G player. CD+Graphics Scribe utility (separate download -- click "Browse All Files" above) can now convert existing CDG karaoke content to CMP (CD+Graphics Magic Project), LRC (Enhanced Lyrics), and ASS (Advanced SubStation Alpha) format.

YAGF is a graphical front-end for cuneiform and tesseract OCR tools. With YAGF you can open already scanned image files or obtain new images via XSane (scanning results are automatically passed to YAGF). Once you have a scanned image you can prepare it for recognition, select particular image areas for recognition, set the recognition language and so on. Recognized text is displayed in a editor window where it can be corrected, saved to disk or copied to clipboard. YAGF also provides some facilities for a multi-page recognition (see the online help for more details).

DocWire SDK, a standout C++17/20 data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. The upcoming integration of C++17 and C++20 will bring advanced functionalities, particularly in areas like HTTP capabilities and web data extraction. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to expand its capabilities, focusing on versatile data extraction, platform support, and seamless integration with various systems. DocWire SDK is dedicated to streamlining data processing, reducing development time and costs, and harnessing the potential of AI. Its advancements promise a superior experience compared to its predecessor, DocToText.

OCR c++ library of computer optical recognition methods. In library: contour recognition; contour vectorisation; matrix letters feature recognition; web based GUI; assembler core on SS3 instruction; xml support; detect page rotation and segmentation;

CuneiDjVu is a graphical frontend to a set of the Windows console utilities providing the DjVu OCR capability based on the CuneiForm-Linux OCR Engine

Fork of OCR software cuneiform Original software see: https://launchpad.net/cuneiform-linux by Cognitive Technologies and Jussi Pakkanen Other Open Source OCR stuff see * Tesseract by Ray Smith (using the Leptonica image library) * GOCR * OCRAD

Akshara Malayalam OCR is a project for the development of an OCR for printed and handwritten documents in Malayalam language. The inspiration is from similar OCR softwares in other languages etc.

The Common OCR Service Interface. COSI is an API that allows developpers to easily bring OCR (Optical Character Recognition) capabilities to image processing applications. COSI supports existing OCR tools such as Tesseract, GOCR or GNU Ocrad.

Classnotes is an OCR intended to translate handwritten scans into text. In order for the program to translate the scans the user must create a handwriting profile by training the OCR with scans.

Conjecture is a modular, extensible, open-source C++ framework for Optical Character Recognition (OCR). It is not a single OCR, but rather an extensible collection of OCRs that can be explored, compared, extended and modified within a unified environment

Graphical interface for Cuneiform OCR

It's a dumb, but lightning fast OCR engine, not using any fancy math to recognize text from screenshots. Aim to recognize 100% of text from screenshot, even if image is affected by jpeg compression or text is affected by antialiasing.

The core idea is to remove the error sources and difficulties of Deep Learning applications by providing a safe haven of commoditized practices, all available as a single core. While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. Full Open Source, with an ecosystem of tools (API clients, video, annotation, ...) Fast Server written in pure C++, a single codebase for Cloud, Desktop & Embedded.

Primary goal of Imated is development of handwritten/machine printed - OCR system. And second goal is development text editor, that will be in a position to import scanned documents OCR them on-the-fly, edit them and print/save as a picture again.