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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 ...
Issuu: a web service which allows viewing PDF documents online. Google Docs: a web service which views PDF documents as PNG images in the browser. Scribd: a web service which renders PDF documents as HTML5 in the browser. PDF.js: A Javascript-based library, with viewer, and browser extension. PDFTron Systems: WebViewer. A free JavaScript viewer ...
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.
The OCR enables the build-up of a model of text regions, words and letters from all images. [6] The OCR technology that Project Naptha adopts is a slightly differentiated technology in comparison to the technology used by software such as Google Drive and Microsoft OneNote to facilitate and analyse text
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.
A 2016 analysis of the accuracy and reliability of the OCR packages Google Docs OCR, Tesseract, ABBYY FineReader, and Transym, employing a dataset including 1227 images from 15 different categories concluded Google Docs OCR and ABBYY to be performing better than others.
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