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Asprise OCR is a commercial optical character recognition and barcode recognition SDK library that provides an API to recognize text as well as barcodes from images (in formats like JPEG, PNG, TIFF, PDF, etc.) and output in formats like plain text, XML and searchable PDF. Asprise OCR has been in active development since 1997.
The source code is managed over GitHub and is maintained and developed by a developer community. [16] The current version of OCRopus is 1.3.3 (December 2017). [17] The OCR software kraken which is used by the transcription platform eScriptorium is a fork of OCRopus. It added support for right-to-left scripts. [18]
Layout analysis software, that divide scanned documents into zones suitable for OCR; Graphical interfaces to one or more OCR engines; Software development kits that are used to add OCR capabilities to other software (e.g. forms processing applications, document imaging management systems, e-discovery systems, records management solutions)
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 ...
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 ...
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.
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Optical character recognition (OCR) is commonly considered to apply to any recognition technique that reads machine printed text. An example of a traditional OCR use case would be to translate the characters from an image of a printed document, such as a book page, newspaper clipping, or legal contract, into a separate file that could be ...