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Step 4: Click “OCR” button to start converting the captured image into text online on the spot. After the text has been separated from the image, you can easily edit or modify it and then copy it to anywhere you want. MeOCR 1.0 converts your scanned documents to editable text documents using OCR and exports them to Microsoft Word with one click. MeOCR also retains the original document formatting thereby saving you time and effort by not having to reformat the text. Me OCR is a fast reliable and accurate image to text OCR conversion application.

Tesseract is probably the most accurate open source OCR engine available. Combined with the Leptonica Image Processing Library it can read a wide variety of image formats and convert them to text in over 60 languages. It was one of the top 3 engines in the 1995 UNLV Accuracy test. Between 1995 and 2006 it had little work done on it, but since then it has been improved extensively by Google.

[edit] Provider

Development of Tesseract is sponsored by Google. Its chief developer is Ray Smith.

[edit]Licensing and cost

Tesseract is an Open Source OCR engine, available under the Apache 2.0 license. It can be used directly, or (for programmers) using an API.

[edit]History

It was initially developed at HP during a 10 year period from 1984 to 1994. After a decade of minimal development it was released in 2005 for open source. Google acquired Tesseract in 2006 and currently maintains its development.

[edit]Platform and interoperability

• The latest downloads for Linux and Windows are found on GoogleDrive. Older versions of Tesseract and its language packs are found on the discontinued Google Code download page.
• The easiest way to install Tesseract on Mac OSX is with MacPorts. Once it is installed, you can install Tesseract by running the command sudo port install tesseract, and any language with sudo port install tesseract-<langcode>. A list of available langcodes can be found on the MacPorts Tesseract page.
• Dependencies for running Tesseract include Autotools and Leptonica . The Windows version requires installation of Visual Studio. More information about required Ubantu libraries and links to specific requirements are on the Tesseract Wiki.
• Other programs such as Scan Tailor, unpaper, ImageJ, Gimp or ImageMagick may be needed to properly prepare images for use in Tesseract.

[edit]Functional notes

[edit]Input supported

Any image readable by Leptonica is supported in Tesseract including BMP, PNM, PNG, JFIF, JPEG, and TIFF. GIF is not supported http://www.leptonica.com/library-overview.html.

[edit]Output generated

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plain text, hOCR (HTML), PDF, invisible-text-only PDF, TSV and ALTO (XML)

[edit]Documentation and support

• Smith, Ray (2007). An Overview of the Tesseract OCR Engine http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/33418.pdf
• Installation information is found on the ReadMe page of the project site.
• Support is offered and issues are addressed on the Issues page of the project site.

[edit]Included in

• Integration with the free Xena-Digital Preservation Softwarehttp://sourceforge.net/projects/xena/?source=navbar
• Integration with Free Online OCR http://www.free-ocr.com/faq.html

[edit]Usability

• Tesseract was primarily developed for English OCR capability, but 47 language packs have been developed for use with other languages https://tesseract-ocr.googlecode.com/svn/trunk/doc/tesseract.1.html. Tesseract 2.0x and 3.0x are trainable for other languages.
• There is no built-in GUI, but there are several available from the 3rdParty page.

• Lazorchak, Butch. (2014). Making Scanned Content Accessible Using Full-text Search and OCR http://blogs.loc.gov/digitalpreservation/2014/08/making-scanned-content-accessible-using-full-text-search-and-ocr/
• Texas A&M University. (2012-). Early Modern OCR Project Workflow http://emop.tamu.edu/about http://emop.tamu.edu/about http://emop.tamu.edu/about
• Adams, Chris. (2014). Content Search on a Budget-using Tesseract on large TIFF files http://chris.improbable.org/2014/3/17/content-search-on-a-budget/
• PSNC Digital Libraries Team. (2011). Tesseract 3.0 installation on Ubuntu 10.10 server http://dl.psnc.pl/2011/01/24/tesseract-3-0-installation-on-ubuntu-10-10-server/
• Lacy, David. (2014). Digital Library upgrade provides enhanced discovery http://blog.library.villanova.edu/digitallibrary/2014/02/18/digital-library-upgrade-provides-enhanced-discovery/#sthash.OwCtLlEc.dpuf
• Applied in an AQuA Mashup that resulted in the Solution page: Compare OCR results of the same source material in different formats (TIFF, JP2)

Source Commits : https://github.com/tesseract-ocr/tesseract/commits

Issues : https://github.com/tesseract-ocr/tesseract/issues

Contributors

Jukervin (18.3%), Prwheatley (1.9%), Lreilly (54.9%), COPTR Bot (24.9%)

Digitalization has certainly made it easier for us to connect with people to capture things and to search for things. Digitized things are always easy to use we can edit digital images in image editing software such as Photoshop. Digital documents can be edited in MS Word. But what if we want to edit, or copy something that’s already printed. It was always required to have software which can extract text from images and we should be thankful to the tech that we can now extract text from images using OCR technology. Let’s us get an idea that what is OCR technology and which are the best software to extract text from images.

What is OCR?

OCR stands for Optical Character Recognition. This technology helps you to convert different type of digital captures such as Photos scanned documents or PDF files to a searchable or editable data.

Best OCR Software to Extract Text from Images:

1. ABBYY FineReader:

ABBYY Fine Reader is an award-winning OCR software which works perfectly with text on e-books, scans, digital photographs. You can use this software for home or office for easy document creation. Its speed and accuracy eliminates the process of retyping and saves a lot of time. The software is really a perfect pick for those who are required to convert images to text very often.

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Also Read:7 Best Exif Data Remover & Editor For Mac 2018

2. Online OCR.net:

If you are looking for a free tool to convert text on pictures to word file using OCR then you must try onlineocr.net it is a web based tool thus you will not need to spend time to download and install a software though you may require compromising a little with accuracy and speed of conversion. All and all we can say that online OCR is best for those who are occasionally required to convert images to text.

3. Soda PDF Anywhere:

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Here is another software to extract text from image online. This software is having both web version and downloadable version. If you will go for the web version you can use your purchase on any device from anywhere. The software works well for both Windows and Mac and allows you to sync your documents over Google Drive, Dropbox or Evernote. You can go for a free trial before making a purchase. Application is having different editions for personal and business purpose.

4. Free OCR:

If you are in the search of OCR software, free download which is available for your computer then you can try your luck with Free OCR. Software takes approximately 10 MB on your hard disk and is very simple to use. Because of low accuracy level you may require having images scanned in high quality. The version of software was last updated long back so you will miss some extra user-friendly buttons or options but in nutshell the application is an amazing lightweight tool if your purpose is short term.

Also Read: Best Batch Image Resizer for Mac

5. SimpleOCR:

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Simple OCR is less expensive yet powerful tool to convert text images to documents. Tool is very much accurate to convert handwritten text on images to word. The best part about this software is that it is having an inbuilt Spell check which helps you to correct spelling mistakes while converting an image or a handwritten piece to a document. The application supports almost all the major image formats so we can say that it is one of the best OCR software 2018. You can also go for the free trial before making a purchase.

So, these were 10 best OCR software to extract text from images. They really save a lot of human effort with the help of these application you can convert handwritten notes to some well-organized documents and keep them forever not only this some of these applications allow you to spell check or grammar check while you are converting another advantage of using an OCR application is that you can easily search for text in images. Tech has really changed the world a lot and continuously we are observing new inventions which are changing our life.

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