Ocr free download - Free OCR, Screen OCR, PDF OCR, and many more programs. System Requirements: 1G Hz or above Intel processor. 512 MB physical RAM (memory) or more. 1024×768 or higher resolution display. Mac OS X 10.7 Lion, Mac OS X 10.8 Mountain Lion, Mac OS X 10.9 Mavericks, and Mac OS X 10.10 Yosemite. CuneiForm is a quick and user-friendly tool whose function is to act as an Optical Character Recognition software, enabling you to turn scanned documents into editable text, in just a few clicks.

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CuneiForm Cognitive OpenOCR is a freely distributed open source OCR system developed by Russian software company Cognitive Technologies.

CuneiForm OCR was developed by Cognitive Technologies as a commercial product in 1993. The system came with the most popular models of scanners, MFPs and software in Russia and the rest of the world: Corel Draw, Hewlet-Packard, Epson, Xerox, Samsung, Brother, Mustek, OKI, Canon, Olivetti, etc.
In 2008 Cognitive Technologies opened the program's source codes.

Create desktop or server applications for Windows, Linux or Mac and deploy them in the Cloud or on Virtual Machines. The diverse OCR features can add value to applications within many areas, such as DMS, ERP, RPA, insurance, banking, healthcare, legal and machine vision. You have the option of just running the OCR tool on the current page or the entire document. PDFPen is another app designed to automate most of the OCR process. Specify the language required and select the relevant button - in this case I just selected OCR Document. Once it’s finished, save the PDF.

Features[edit]

CuneiForm is a system developed for transforming the electronic copies of paper documents and image files into an editable form without changing the structure and the original document fonts in automatic or semi-automatic mode. The system includes two components for single and batch processing of electronic documents.

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The list of languages supported by the system:

Besides, the system supports a mixture of Russian and English. Recognition of other mixed languages is only supported in the branch, developed by Andrei Borovsky in 2009.^[2] Educating the system to recognize other languages is difficult since each language is related to a dat-file, the structure and development method of which are not disclosed by the developers.

History[edit]

1993 - Cognitive Technologies signed an OEM-contract with Corel, under the terms which Cognitive recognition library came embedded into the Corel Draw 3.0 (and later versions) package popular in the publishing sphere.

1994 – The contract with Hewlett-Packard on the equipment of all scanners imported into Russia with CuneiForm OCR. This was the first HP contract with a Russian software company.

1995 - The contract with the Japanese corporation Epson on supplying their scanners with the CuneiForm OCR.^[3] The OEM contract was signed with the world's largest manufacturer of fax machines, laser printers, scanners and other office equipment - Brother Corporation. According to the agreement, the new roller scanner Brother IC-150 was equipped with Cognitive software for scanning and recognition worldwide.

1996 - OEM agreement with one of the world's largest manufacturers of monitors, fax machines, laser printers, MFPs and other office equipment - Samsung Information Systems America. According to the agreement the new multifunction device Samsung OFFICE MASTER OML-8630A was to be equipped with the Cognitive Cuneiform LE system of symbol optical recognition worldwide.

• OEM agreement with a leading global manufacturer of office equipment Xerox on equipping the multifunctional devices Xerox 3006 and Pro-610 with the CuneiForm recognition system.
• CuneiForm '96 OCR release, with the first adaptive recognition algorithms in the world.

Adaptive Recognition - a method based on a combination of two types of printed character recognition algorithms: multifont and omnifont. The system generates an internal font for each input document based on well printed characters using a dynamic adjustment (adaptation) to the specific input symbols. Thus, the method combines the omnitude and the technological efficiency of the omnifont approach with the high font recognition accuracy that dramatically improves the recognition rate.

1997 – The first usage of neural network-based technologies in CuneiForm. The algorithms using neural networks for character recognition are developed as follows: the character image that is to be recognized (pattern) is reduced to a certain standard size (normalized). The luminance values of the normalized pattern are used as input parameters for the neural network. The number of output parameters of the neural network is equal to the number of recognized characters. The result of recognition is a symbol, which corresponds to the maximum value of the output vector of the neural network.

• New OEM agreement with Canon equipping multi-function devices imported into Russia with the CuneiForm system;
• New OEM contract with OKI Europe Limited on equipping MFPs OKI FAX 4100 and OKI FAX 5200 MFD's, imported into Russia with the CuneiForm system;
• The first CuneiForm MMX Update OCR-system for Intel MMX processor release;
• NeuHause scanners come with the CuneiForm recognition system;
• Russia's first network scanning system CuneiForm 98 NEST release.

1999

• New OEM contract with the Olivetti company on supplying the multi-function devices imported into Russia with the CuneiForm system;
• Distribution agreement with a leading European distributor of software company WSKA (France) on the distribution of OCR Cuneiform Direct in Europe;
• New version of the system released, Cuneiform 2000, that implements the method of 'cognitive analysis TM”: an expert system is integrated into the recognition core, which analyses of alternatives to the estimates on the output from each detection algorithm, and choose the best option.
• The method of 'Meridian table segmentation TM' is developed for the improvement of the accuracy of recreating the original form of the table in the output document;
• The original document form recreation mechanism - 'What you scan is what you get TM' is introduced. The technology was aimed at saving the scanned document's original form in terms of its components placement. This particularly important for the documents with complex topology: multicolumn texts with headings, annotations, graphic illustrations, tables, etc.

2001 - OEM-contract with Canon on its scanners and multifunction devices equipment with Cognitive Technologies CuneiForm OCR software for Eastern Europe

Development prospects[edit]

• December 12, 2007 OCR CuneiForm freeware-version was released and the opening of its source was announced.
• April 2, 2008 the source codes of the Cuneiform OCR are published under the BSD license, and in the fall - the system's interface source texts.
• The latest version of OpenSource version for Windows has not been updated since 14.02.2009. This version is no longer available for download. Instead, the version of 11.11.2008 is available on the download page
• In 2009 graphical interfaces for the open version of Cuneiform based on Qt 4 library - Cuneiform-Qt,^[4]YAGF are released. Starting with version 0.9.0^[5] open version for Linux can be used as library.

See also[edit]

• Puma.NET is a wrapper library for Cognitive Technologies CuneiForm recognition engine. It makes it easy to incorporate OCR functionality in any .NET Framework 2.0 (or higher) application.

References[edit]

1. ^Cognitive Technologies открыла код OCR Cuneiform
2. ^http://bazaar.launchpad.net/~anb-symmetrica/cuneiform-linux/cuneiform-multilang/revision/400
3. ^[1] PCworld
4. ^Cuneiform-Qt
5. ^Cuneiform Linux 0.9.0 is released

External links[edit]

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Jun 11,2020 • Filed to: OCR PDF

OCR can transform a scanned PDF file into an editable and searchable text-based document. This can be extremely useful in many situations, and one of the ways people can carry this task out is with open source OCR programs. This has the benefit of being free, and easily available on multiple platforms, but is it the ideal solution if you need to turn pages of a scanned book into something you can search and edit? If you're looking for a stable, long-term OCR solution, PDFelement Pro is likely your best choice.

Part 1. Top 3 Open Source OCR Software

#1. Tesseract OCR

Tesseract is a wonderful and best open source ocr software that is currently maintained by Google. It can be used on a variety of platforms including Linux, Windows and OS X. It includes support for several languages, and with the ability to download even more via extensions, it brings a wealth of options that will cover almost any project. However, it is somewhat complicated in terms of use and to get the very best from it requires some understanding of the underlying code. In use though, it produces accurate results and multi-platform support that can prove useful in a wide variety of situations. There’s a rather steep learning curve to use the software, but once you get the hang of it, the program is very capable.

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#2. GOCR

This is another pdf ocr open source software that is designed to run on Linux, Windows and OS/2 platforms, providing a wealth of choice for almost any situation. As with other ocr software open source, the process is accurate and the package expandable. However it suffers from similar issues with usability. This varies somewhat depending on the platform being used, with some having a more user friendly front end than others, but it is still a capable tool once in use.

#3. CuneiForm Cognitive OpenOCR

Originally a commercial OCR solution, Cuneiform was converted to open source by its developer when further development of the project ceased. Because of this it is not the most up to date solution available, but is effective nonetheless. This is a multi-language piece of software that still works well, and it does manage to avoid some of the pitfalls of other open source solutions, such as unintuitive user interfaces and so on. It is the easiest of the three to use. With multiple output formats and a lot of customization possible it is a good piece of software, if lagging a bit behind in today’s more advanced standards.

Comparison of the above open source ocr library Resources

Verdict:

There is no doubt that all of these open source ocr tools offer a way to perform OCR on your document. They do all have some disadvantages, whether it be the ease of use or being somewhat outdated and not taking full advantage of today's multicore processors for speed. With that in mind many people turn to more comprehensive commercial packages to meet their OCR needs, and with comprehensive support, ease of use and reliability it is no surprise. Open source products do have their place, but for many relying on the tools daily and needing something that is a little easier to run, the costs are very often well worth it in the long run to find a long-term solution.

Part 2.

Except above open source ocr software, we can find a lot of PDF solutions with OCR functions in the market. Here is how to OCR scanned PDF and edit with PDFelement Pro.

Perform OCR with PDFelement Pro

The advanced OCR function in PDFelement Pro will help you to perform OCR on your PDF files easily. Please follow the steps below.

Step 1. Launch Program

After starting the application, click Open File to open your scanned PDF in the program. You will receive a notification recommending that you perform OCR.

Step 2. Perform OCR

Click 'Perform OCR' on the blue notification bar or Click the 'OCR' button under the 'Convert' tab. If you are the first time to use OCR functions, it will let you download OCR library. You can change languages and customize pages according to your needs after downloading.Click 'OK' to start the process. When it is finished, you can edit the text on the scanned PDF file with PDFelement Pro.