Optical Character Recognition (OCR) is the conversion of scanned images of handwritten, typewritten or printed text into searchable, editable documents. OCR software is able to recognise the difference between characters and images, and between characters themselves.
The use of paper has been displaced from some activities. For example, the vast majority of journeys on the London Underground are made using the Oyster card without a paper ticket being issued. We have witnessed talk of a paperless office for more than 40 years. However, the office environment has shown a resistance to remove the mountain of paper generated. Things have changed in the past few years, with a marked shift in the paperless office concept. Paper documents contain a wealth of important management data and information that would be better stored electronically. There is computer software that makes this conversion possible. The benefit of scanning documents is not purely for archival reasons. OCR technology is vital for gaining access to paper-based information, as well as integrating that information in digital workflows.
The selection of the right OCR tool is dependent on specific needs. For some, online OCR services may be useful, but there are privacy concerns and file size limitations. This article focuses on desktop, open source OCR software that offer good recognition accuracy and file formats. We cover OCR engines as well as front-end tools.
OCR software is not mainstream so open source alternatives to proprietary heavyweight software are fairly thin on the ground. Matters are also complicated by the fact that OCR computer software needs very sophisticated algorithms to translate the image of text into accurate actual text. The software also has to cope with images that contain a lot more than text, such as layouts, images, graphics, tables, in single or multi pages.
Here’s our recommendations.
Let’s explore the 12 OCR tools at hand. For each title we have compiled its own portal page, a full description with an in-depth analysis of its features, together with links to relevant resources.
|Adds an OCR text layer to scanned PDFs using the unpaper utility
|High quality OCR engine originally developed at Hewlett Packard
|Simplify the management of your paperwork
|Desktop OCR suite featuring a complete GTK graphical user interface
|Open source document analysis and OCR system
|GUI to produce PDFs or DjVus from scanned documents
|OCR Engine to convert OCR documents into editable form
|Simple Gtk/Qt front-end to Tesseract
|linux-intelligent-ocr-solution for converting print into text
|Manipulate and evaluate hOCR format
|Program based on a feature extraction method
|Reads images in many formats
|Read our complete collection of recommended free and open source software. Our curated compilation covers all categories of software.
The software collection forms part of our series of informative articles for Linux enthusiasts. There are hundreds of in-depth reviews, open source alternatives to proprietary software from large corporations like Google, Microsoft, Apple, Adobe, IBM, Cisco, Oracle, and Autodesk.
There are also fun things to try, hardware, free programming books and tutorials, and much more.