Search Results for "liblpsolve55.so"

Umi-OCR is a free and open-source optical character recognition (OCR) tool designed to provide fast, offline text extraction from images, screenshots, PDFs, and more without requiring a network connection. It includes a highly efficient offline OCR engine with built-in multilingual recognition libraries, so users can extract text across multiple languages with high accuracy directly on their machines. The software supports flexible usage patterns including screenshot capture OCR, batch processing of large sets of images or documents, PDF parsing, QR code detection, and layout-aware paragraph output. Users can interact with Umi-OCR through a graphical interface, command-line options, or HTTP interfaces, making it adaptable to both casual desktop usage and programmatic automation. ...

DeepSeek-OCR is an open-source optical character recognition solution built as part of the broader DeepSeek AI vision-language ecosystem. It is designed to extract text from images, PDFs, and scanned documents, and integrates with multimodal capabilities that understand layout, context, and visual elements beyond raw character recognition. The system treats OCR not simply as “read the text” but as “understand what the text is doing in the image”—for example distinguishing captions from body...

Papermerge is an open source document management system (DMS) primarily designed for archiving and retrieving your digital documents. Instead of having piles of paper documents all over your desk, office or drawers - you can quickly scan them and configure your scanner to directly upload to Papermerge DMS. Store, organize and index scanned documents in PDF, JPEG and TIFF formats. Instantly find relevant information using full text, tags and metadata-based search. Papermerge is free and...

...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.

This project is more intendet for advanced users, because it uses the architect installer, see https://wiki.manjaro.org/index.php?title=Installation_with_Manjaro_Architect If you have problems installing drivers, open up manjaro settings manager>hardware configuration and look for your drivers there. The above method requires ocr/sighted assistance. For easier navigation and for the method that works on both desktop and architect images, use mhwd-tui Hope you enjoy! Do not hesidate to...

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?...

.... ***** 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.