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hocr-tools is an open source library written in Python. It has a command-line utility attached in the scripts called hocr-pdf that enables us to convert standard hocr files to a searchable PDF file. It is also worth noting that the version for dealing with hocr files in RTL or non- Latin scripts like Arabic , we need to use the GitHub ...
Library to create and manipulate PDF, RTF, HTML files in Java, C#, and other .NET languages. JasperReports: GNU LGPL: Open-source Java reporting tool that can write to screen, printer, or into PDF, HTML, Microsoft Excel, RTF, ODT, comma-separated values and XML files. libHaru: ZLIB/LIBPNG: Open-source, cross-platform C library to generate PDF ...
In this mode OCRFeeder uses the default OCR engine, which the user can set in the application's preferences. [13] [14] The program is written in Python and uses the GTK+ library (using PyGTK). [12] It acts as a graphical front-end for other existing tools. For example, it does not make actual character recognition itself, but uses external ...
Python Features a full user interface and has a command-line tool for automatic operations. Has its own segmentation algorithm but uses system-wide OCR engines like Tesseract or Ocrad
Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...
OCRopus is a free document analysis and optical character recognition (OCR) system released under the Apache License v2.0 with a very modular design using command-line interfaces. OCRopus is developed under the lead of Thomas Breuel from the German Research Centre for Artificial Intelligence in Kaiserslautern, Germany and was sponsored by Google.
Tesseract is an optical character recognition engine for various operating systems. [5] It is free software, released under the Apache License. [1] [6] [7] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development was sponsored by Google in 2006.
One of the most useful application tasks of data capture is collecting information from paper documents and saving it into databases (CMS, ECM, and other systems). There are several types of basic technologies used for data capture according to the data type: [citation needed] OCR – for printed text recognition [3]