Open Source Linux OCR Software - Page 3

Java OCR is a suite of pure java libraries for image processing and character recognition. Small memory footprint and lack of external dependencies makes it suitable for android development. Provides modular structure for easier deployment

A GUI for OCR programs.

DocWire SDK, a standout C++20AI driven 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. 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.

Based on Russian project "Overlay" ,helping to translate comic books, Added funtion as ZIP RAR support Colorpicker OCR and more coming soon.

DjVu++ is a user-friendly program that used to manipulate DjVu file formats such as eBooks with a penalty of editing features. The program introduce a free replacement for the property PDF format with similar resolution and smaller file size DjVu++ also support OCR to handle text in scanned books and images. The program shows good performance for English. In addition to the Arabic language to lead free and commercial software in this area. The main features of DjVu++ program are: o Manipulate DjVu files. o Support smaller size than PDF with the same performance. o DjVu++ supports two languages in the OCR technique (Arabic and English). o Read multiple documents at the same time with the new tabs feature. o DjVu++ supports multiple formats:  Convert PDF document into DjVu format with smaller file size and the same performance.  Convert DjVu into PDF format.  Combine images to a single DjVu document. Perform OCR operations on multiple image formats.

hocr - Hebrew OCR c/c++ library

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.

The National library of Luxembourg's viewer for METS (http://www.loc.gov/standards/mets/) files with OCR files in the ALTO format. The viewer needs a tomcat application server to run in. It can be deployed so that it reads the METS files from a local folder. Its main use is for digitized newspapers and postcards but can be adapted to other METS profiles as well. The viewer can be seen in action at: http://www.eluxemburgensia.lu Other known users include: National library of Latvia (http://www.periodika.lv) University library of Belgrade (http://arhiva.unilib.rs/unilib/istorijskenovine/index.php?lang=en)

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

Read https://sourceforge.net/projects/tesseracthindi/files/OCRHindi_using_VietOCR_and_Tesseract.pdf/download for how to use vietocr gui for OCR of Hindi and Sanskrit texts using tesseract-ocr ***** Please see https://github.com/Shreeshrii/ imagessan and imageshin for newer box/tiff pairs, traineddata files, ocr evaluation statistics and ground truth files with images for Sanskrit and Hindi. ***** Following is OLD information - saved only for archival purposes. Tesseract OCR 3.02 provides hin.traineddata for recognizing texts in devanagari scripts. However the Hindi training texts, images and box files are not provided, so it is difficult to improve the accuracy by further improving the traineddata. It is noted that recognition is more accurate and faster if the training is done with the same /similar font as used in the text to be OCRed. See https://sourceforge.net/p/tesseracthindi/wiki/OCR%20for%20Devanagari/ for more details.

e-Dokyumento is opensource web-based Document Management System (DMS) A Document Management which automates the basic office document workflow such as receiving, filing, routing, and approving through capturing (scanning), digitizing (OCR Reading), storing, tagging, and electronically routing and approving (e-signature) of electronic documents. # Demo : https://e-dokyumento.herokuapp.com/ https://edokyu.seillig.com/ (refer to Readme.md for the accounts) #Dockerhub: https://hub.docker.com/r/nelsonmaligro/edokyumento # Install using the ISO: 1. Download: https://sourceforge.net/projects/e-dokyumento/files/Releases/e-DokyuV3.iso/download 2. Boot and login with: "root" and "admin@123" 3. Create 2 partitions: SWAP and / mount 4. Login and move "/opt/drive" folder to root: "mv /opt/drive /" # Install on Ubuntu: https://sourceforge.net/projects/e-dokyumento/files/Install%20e-Dokyumento%20on%20Ubuntu%20Linux.pdf/download

JOcrad is a graphical frontend for GNU/Ocrad written in Java. GNU Ocrad is an OCR (Optical Character Recognition) program based on a feature extraction method.JOcrad supports italian and english languages, JPG,PNG and GIF images.

Captcha Solutions OCR Captcha Solver Reseller Website to Start Your Own Captcha Solving Business Portal

OCR c++ library. Include: contour recognition; vectorisation; matrix letter feature recognition; auto page segmentation and detect rotation; SS3 ASM core; XML base; web-based GUI; 99,6% printed Unicode text recognition; letter base up to 1200 letters.

Tested for Ubuntu Maverick - Create Audiobooks from eBooks, text or pictures. - Read eBooks or text aloud while scrolling through pages

An image postprocessor for the DIY Book Scanner described on instructables.com and diybookscanner.org. Gets images ready for OCR or for PDF. Written in Java based on a partial port of the Leptonica image processing library.

The project has source code and data related to the following tools: 1. Optical Character Recognition. Recognize machine printed Devanagari with or without a dictionary. 2. Document Image Analysis. Automatic page segmentation of document images in multiple Indian languages. Identifies pictures, lines, and words in a document scanned at 300 dpi. 3. Multi-lingual annotation. An interface that has transilteration and a soft-keyboard using which multiple languages can be input. The UI also enables users to view the word and character level ground truth of images. To cite this work, please use: "Devanagari OCR using a recognition driven segmentation framework and stochastic language models", Suryaprakash Kompalli, Srirangaraj Setlur, Venu Govindaraju, IJDAR, 2009, Volume: 12, Pg.: 123–138

Turn your scanner into a free document reader for invoices (e.g. for e-banking) with the help of tesseract-ocr available for many unix (and also windows) platforms.

Eye is an experimental OCR (image-to-text) application.

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.

When translating becomes a game ! Text to translate can be graphically selected. Several dictionnaries can be sorted according to the context. A large choice of matching strategies is available. The OCR engine is tunable.

Alternative download page for Code and Data to evaluate OCR accuracy, originally from UNLV/ISRI

Tifftool is a high-performance tool to clean scanned documents in preparation for onscreen display or for OCR. Features include skew correction, orientation correction, despeckle, page alignment, split pages and batch processing.

Our Objective is to create a GPU-based system that can accept scanned inputs of printed Devanagari texts, and produce outputs of the same in Unicode with a very high accuracy (>99.9%).

OCR Software developed by acem students as their minor project