Open Source Mac OCR Software - Page 4

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

Android Mobile application :OCR using Neural Networks built in java

This application can be used to read printed text in english. Scan the text to produce image file. Image file is processed using the OCR engine, which converts it to txt file. Text file can be read using screen reader softwares such as ORCA.

Optical Character Recognition in JS for Browser is based on ocrad.js. OCR for Browser is a free extension and You can use this application to extract text from any image you supply. Just upload your image files. OCR for Browser takes either a JPG, GIF, TIFF, BMP, PNG. ========= Get OCR for Android (Beta release) - https://play.google.com/store/apps/details?id=com.ulm.ocr ========= Add-on for Opera: http://bit.ly/1F0E0wP ========= Release 1.0.1 For safety reasons, I disabled the possibility to import an image from url. Finally, I wish to inform you that you can write or draw directly on the canvas to get the subsequent character recognition and text extraction

An optical character recognition filter for use with postifix or sendmail as a milter. The filter focuses on only processing images that it absolutely has to, this is to conserve computing power and not allow the spammer to use to many resources. Feature

This paper represent a development and deployment and/or Implementation of Optical Character Recognition (OCR) to translate images of typewritten or handwritten characters into electronically editable format by preserving font properties. OCR can do this by applying pattern matching algorithm. The Recognized characters are stored in editable format. Thus OCR make the computer read the printed documents discarding noise. Keywords- Optical Character Recognition, Image convert to character, Image cropping.

Java Swing application to modify PNG graphics ahead of OCR.

OpenOCR will be a commercial quality ocr engine with tools for pre- and post-processing of images and resulting text.

Note as of 2013-09-13: I'm moving this project over to github due to this: http://www.gluster.org/2013/08/how-far-the-once-mighty-sourceforge-has-fallen/ Feel free to rejoin the more updated versions on https://github.com/mnott/PDFOCRWrapper Thanks. Matthias -- This is a wrapper written in Java that allows to recursively iterate a directory structure and call an OCR engine on each found PDF on the condition that it hat not yet been called for that PDF. It works well with the ABBYY OCR Engine for Linux.

At present, the newly refactored PandaOCR.Pro professional version has been released. It is faster and more stable, with richer interfaces and easier operation. It is recommended for you to use it! The normal version will continue to be maintained, and all interfaces will be retained but no new functions will be added. The reason why the version number of the professional version starts from 5.x is that the normal version will be updated in the future, so a period of version number is reserved. You can continue to use the regular version for free as before, without worrying about deactivating the regular version after the launch of the professional version. If you have higher needs, you can try the professional version. You can also use the Baidu API interface without activation. Support shortcut keys and screen corner trigger screenshot recognition function, convenient and fast.

Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术 Paper2GUI: An AI desktop APP toolbox for ordinary people. It can be used immediately without installation. It already supports 40+ AI models, covering AI painting, speech synthesis, video frame complementing, video super-resolution, object detection, and image stylization. , OCR recognition and other fields. Support Windows, Mac, Linux systems. Paper2GUI: 一款面向普通人的 AI 桌面 APP 工具箱，免安装即开即用，已支持 40+AI 模型，内容涵盖 AI 绘画、语音合成、视频补帧、视频超分、目标检测、图片风格化、OCR 识别等领域。支持 Windows、Mac、Linux 系统。

Paperless is a simple Django application running in two parts, a Consumer (the thing that does the indexing) and a Web server (the part that lets you search & download already-indexed documents). Paper is a nightmare. Environmental issues aside, there’s no excuse for it in the 21st century. It takes up space, collects dust, doesn’t support any form of a search feature, indexing is tedious, it’s heavy and prone to damage & loss. I wrote this to make “going paperless” easier. I do not have to worry about finding stuff again. I feed documents right from the post box into the scanner and then shred them. Perhaps you might find it useful too. Paperless-ng is a fork of the original paperless project. It changes many things both on the surface and under the hood. Paperless-ng was created because I feel that these changes are too big to be pushed into the main repository right away.

SecureJDMS is the attempt to develop a secure DMS, based on an RCP and (even untrusted) DB for data storage. For now, its all about managing scanned documents and searching them by content (using OCR). All data sent and stored will be strongly encrypted.

We have developed a co-simulator which combines support for power device models and communication models to improve practical investigation of the Smart Grid. Our proposed system uses OpenDSS power system simulator and OMNeT++ communication system simulator which are available under an open source licence. We have resolved a synchronisation problem between already existing communication and power networks simulators. This is done through a software interface between the communication and power networks simulators. We have tested our co-simulation framework with a renewable energy integration application. * This work was partly supported by an Open Collaborative Research (OCR) project from IBM. The authors are thankful to Deva Seetharam, Koushik Das and their team at IBM, for their valuable suggestions and comments.

Socr3 is a plugin-oriented, open source platform upon which I'm building an OCR suite. The name Socr3 stands for "Open Source Optical Character Recognition, Reading, Rendering, and Exporting", and is subject to change in the future.

A post-OCR correction tool for SRT subtitle files.

TCR Neuroph - Text Character Recognition is java tool developed to recognize scanned text , using Java Neural Network Framework - Neuroph

Terese is a tool for proofreading OCR text. Terese tries to map the text back to the scanned image, and visually shows the differences. See the homepage for further details.

Toxin Finder is an android app which uses google's tesseract ocr engine in order to capture an image of a product's ingredient list and return a list of harmful ingredients.

Waygoer is an OCR program. It is based on contour extraction and momentum transformations. This allows for rotation- and scale-invariant recognition. Waygoer is still at an early stage of development.

WebDjVuTextEd allows to edit the text layer of OCR'ed DjVu documents in a web browser. You can modify the structure (paragraphs, lines, words...) create, delete, edit text nodes, modify their container box by mouse, and run a spellchecker. The program does not directly read the DjVu files, it requires exported XML text data and images. When using without a webserver, you can open and save local files, but cannot take advantages of auto-save and spell checking. Note that current SVN version has much more features than V1.0!

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.

ALTO files are XML files that store the output of OCR. Alto_search searches for terms in these ALTO files. A term can be several words and multiple terms can be searched at the same time. The output is in XML format and contains the coordinates of the words that were found as well as textual context around the hits.

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)

Charface is GUI for OCR engines. Currently under developing. It suports automatica detection of next engines to be installed - cuneiform with its languages - tesseract with language database files - gocr Supports - adding custom engines - bach processing of images - text postprocessing