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Neuroph OCR is an open source handwriting recognition tool that is developed to recognize various handwritten letters and characters. The software is available for Windows, Mac, and Linux, and it can be used as a standalone software or as a plug in. It is a simple software the gets the job done to recognize the handwritten letters and convert. Download Tesseract OCR for free. Commercial quality OCR. A commercial quality OCR engine originally developed at HP between 1985 and 1995. In 1995, this engine was among the top 3 evaluated by UNLV.

1. 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).
2. PDF OCR X Community Edition is a free desktop OCR app for macOS based on the open source Tesseract engine (see number 7). Although it only scans single page PDFs, it does a pretty decent job. Like a lot of free OCR apps, the accuracy of scans very much depends on.
3. First, open PDFelement for Mac. Then open your scanned PDF file in the program. To do so, click on 'Open File' at the bottom left and select the file that you want to OCR.

OCR or Optical Character Recognition is a sophisticated software technique that allows a computer to extract text from images. In the early days OCR software was pretty rough and unreliable. Now, with the tons of computing power on tap, it’s often the fastest way to convert text in an image into something you can edit with a word processor.

These ten applications offer different takes on the task of OCR, without a price tag and across multiple platforms. If you’ve been looking for a way to turn pictures into words, you’ll almost certainly find the best free ocr software you need below.

FreeOCR (Windows 10)

FreeOCR is a basic free OCR software that offers all the core functionality you’d want from this type of software. For starters, if you have a TWAIN scanner (which is basically all of them) you can directly scan and extract text from paper. Image imports work as you’d expect as well. This includes multi-page documents in TIFF and PDF format as well.

FreeOCR uses an Open Source engine originally developed by Hewlett Packard and eventually released by Google for everyone to use. It’s known as “Tesseract”. Tesseract has some neat features, but one of the most interesting is its automatic layout detection system. This means you don’t need to spend time tediously drawing rectangles around discrete blocks of text.

SimpleOCR (Windows 10)

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SimpleOCR is a basic OCR package that can convert typed documents into text, directly from your scanner. The name, SimpleOCR, is quite literal in this case. If you have documents that exhibit any form of complexity, such as columns or that don’t have perfectly crisp scans, SimpleOCR can’t get the job done.

Of course, Simple Software is happy to sell you a more sophisticated solution for a few bucks, but if you just want to OCR some standard blocks of text, this is one option that won’t cost you a penny and is as simple to use as the name suggests. As a bonus, it supports handwriting recognition!

Easy Screen OCR (Windows, Mac, iOS & Android)

Easy Screen OCR is a small, best free OCR software that relies on a cloud-based, Google-powered recognition engine. As you might expect, this means that you need to have an active internet connection for the software to work. If that’s not an issue, you’ll find quite a useful tool here.

This OCR application is intended to extract text from screenshots, letting you copy text from websites or any other text that’s on-screen. What’s particularly cool about this is the support for more than 100 languages. If you want to translate (for example) Japanese text, you can simply take a screenshot and have Easy Screen OCR do it for. If this is something you need to do often, it also helps that you have the option to set custom hotkeys.

While this is not a traditional OCR application, there are plenty of workflows around these days that involve extracting text from the images you’re working with. Easy Screen OCR makes that task as easy as a few keystrokes.

Unfortunately the latest version of the software (1.4.2 and up) requires a subscription fee after 20 uses. However, older versions of the software are still free to use.

Capture2Text (Windows 10)

Capture2Text is an interesting little application with a narrow, but very useful function. It’s used to OCR text from what’s currently on your screen. You press a hotkey, select the zone of the screen you want to OCR and then it sends the result directly to the clipboard, so you can paste it into a word processor.

Capture2Text is a portable application, so you don’t need to install it. Just run the executable and you can use it on any Windows system from version 7 and up. The software is Open Source as well, so you can copy and modify it as you like, as long as you comply with the terms of the GNU license.

It’s not fancy by any means, but if you want to rapidly grab text from images that you are handling, this is a great piece of software to do it.

A9t9 (Windows 10)

If you’ve never ventured onto the Windows Store, you may be surprised to find that there are actually plenty of free and Open Source applications there. The a9t9 app is just such a gem and comes with no strings attached at all. There are no adverts and it promises pretty robust OCR performance.

A9t9 supports quite a long list of languages, although not as extensive as some of the other options on this list. If you’re a Windows 8.1 (or up) user who needs OCR right now and don’t want to spend any money, then simply click a single button on the Windows Store app and seconds later a9t9 will be processing your images into documents you can edit.

Adobe Scan (Android & iOS)

Adobe has an absolute ton of mobile apps out in the wild. Some are pretty great, while many seem to be little more than experiments. Adobe Scan falls into the former category. It’s a polished camera scanning and OCR application that will run on either Android or iOS. There’s no charge and you don’t need to be subscribed to any Adobe services.

Of course, the final document is a PDF, which you can only directly edit with a paid version of Acrobat, but copying the text over to a word processor of your choice is no hassle, if we’re being honest.

One of the best features of the Adobe OCR software is its ability to recognize handwriting. Of course, good quality handwriting will be better recognized. Don’t expect it to decipher something you can’t read yourself. Like your doctor’s prescription notes.

There are a few other reasons to try out Adobe Scan. The ability to automatically scan, OCR and contacts from a business card is very cool. In fact, if you spend a lot of time meeting people, it could save you a heck of a lot of time.

The app also has, as you’d expect from the creators of PhotoShop, a small set of touch-up tools. So you can clean up the images before trying to extract text from them.

Office Lens (Android & iOS)

When the first phones with built-in digital cameras came to market the quality on offer was truly awful. The resulting images weren’t really useful for anything and you certainly couldn’t make out fine detail such as text.

Today, the sophisticated cameras found on even budget models offer high-resolution images that are good enough to use as a replacement for a document scanner. For example, the Google Drive app lets you make some pretty good scans using nothing but your phone camera.

The Office Lens app by Microsoft not only lets you scan documents, it allows you to OCR them on the fly. So you could take a snap of someone’s business card and immediately have the text ready to copy into your contacts list.

Office Lens is a standalone application, but its functionality is being built into other MS Office apps as well, so if you’re already using those it may not be necessary to download this independent app. Then again, sometimes a focused, lightweight app is exactly what the doctor ordered.

English OCR (iOS)

English OCR is a free OCR app for iPhone and iPad that makes it pretty easy to quickly take a snap of a document and convert the text in the photo into a digital format. It’s released under an Open Source licence, but the developers use adverts to help carry the costs of developing and supporting the application.

There is a paid “Pro” version that has exactly the same functionality as the free edition. The only difference is that the Pro version removes all adverts. So if you are OK with a few ads, you don’t need to put any money down at all.

Reading Between The Lines

The promise of a paperless world has, so far, failed to materialize. Which means OCR technology will remain an important part of the bridge between the digital and analogue worlds.

Armed with the OCR apps above, you should never have to laboriously retype a document ever again and, best of all, they won’t cost you a cent.

Tesseract is an optical character recognition engine for various operating systems.^[3] It is free software, released under the Apache License.^[1][4][5] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development has been sponsored by Google since 2006.^[6]

In 2006, Tesseract was considered one of the most accurate open-source OCR engines then available.^[5][7]

History[edit]

The Tesseract engine was originally developed as proprietary software at Hewlett Packard labs in Bristol, England and Greeley, Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some migration from C to C++ in 1998. A lot of the code was written in C, and then some more was written in C++. Since then all the code has been converted to at least compile with a C++ compiler.^[4] Very little work was done in the following decade. It was then released as open source in 2005 by Hewlett Packard and the University of Nevada, Las Vegas (UNLV). Tesseract development has been sponsored by Google since 2006.^[6]

It allows you to burn QuickTime Movies, MP3 music, and digital photos to a DVD. Best free dvd burning software for mac 2014. The free software is integrated with iTunes, iMovie, iPhoto or any other Apple product. Note: iDVD is no longer available in the iLife bundle on OS 10.7 Lion or later. IDVD indeed makes DVD burning fairly easy and saves you lots of time. And online Apple Store doesn’t sell iLife ’11 (carries a copy of iDVD 7.1) anymore.

Features[edit]

Tesseract was in the top three OCR engines in terms of character accuracy in 1995.^[8] It is available for Linux, Windows and Mac OS X. However, due to limited resources it is only rigorously tested by developers under Windows and Ubuntu.^[4][5]

Tesseract up to and including version 2 could only accept TIFF images of simple one-column text as inputs. These early versions did not include layout analysis, and so inputting multi-columned text, images, or equations produced garbled output. Since version 3.00 Tesseract has supported output text formatting, hOCR^[9] positional information and page-layout analysis. Support for a number of new image formats was added using the Leptonica library. Tesseract can detect whether text is monospaced or proportionally spaced.^[5]

The initial versions of Tesseract could only recognize English-language text. Tesseract v2 added six additional Western languages (French, Italian, German, Spanish, Brazilian Portuguese, Dutch). Version 3 extended language support significantly to include ideographic (Chinese & Japanese) and right-to-left (e.g. Arabic, Hebrew) languages, as well as many more scripts. New languages included Arabic, Bulgarian, Catalan, Chinese (Simplified and Traditional), Croatian, Czech, Danish, German (Fraktur script), Greek, Finnish, Hebrew, Hindi, Hungarian, Indonesian, Japanese, Korean, Latvian, Lithuanian, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak (standard and Fraktur script), Slovenian, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian and Vietnamese. V3.04, released in July 2015, added an additional 39 language/script combinations, bringing the total count of support languages to over 100. New language codes included: amh (Amharic), asm (Assamese), aze_cyrl (Azerbaijana in Cyrillic script), bod (Tibetan), bos (Bosnian), ceb (Cebuano), cym (Welsh), dzo (Dzongkha), fas (Persian), gle (Irish), guj (Gujarati), hat (Haitian and Haitian Creole), iku (Inuktitut), jav (Javanese), kat (Georgian), kat_old (Old Georgian), kaz (Kazakh), khm (Central Khmer), kir (Kyrgyz), kur (Kurdish), lao (Lao), lat (Latin), mar (Marathi), mya (Burmese), nep (Nepali), ori (Oriya), pan (Punjabi), pus (Pashto), san (Sanskrit), sin (Sinhala), srp_latn (Serbian in Latin script), syr (Syriac), tgk (Tajik), tir (Tigrinya), uig (Uyghur), urd (Urdu), uzb (Uzbek), uzb_cyrl (Uzbek in Cyrillic script), yid (Yiddish).^[10]

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In addition Tesseract can be trained to work in other languages.^[5]

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Tesseract can process right-to-left text such as Arabic or Hebrew, many Indic scripts as well as CJK quite well. Accuracy rates are shown in this presentation for Tesseract tutorial at DAS 2016, Santorini by Ray Smith.^[11]

Tesseract is suitable for use as a backend and can be used for more complicated OCR tasks including layout analysis by using a frontend such as OCRopus.^[12]

Tesseract's output will have very poor quality if the input images are not preprocessed to suit it: Images (especially screenshots) must be scaled up such that the text x-height is at least 20 pixels,^[13] any rotation or skew must be corrected or no text will be recognized, low-frequency changes in brightness must be high-pass filtered, or Tesseract's binarization stage will destroy much of the page, and dark borders must be manually removed, or they will be misinterpreted as characters.^[14]

Version 4[edit]

Version 4 adds LSTM based OCR engine and models for many additional languages and scripts, bringing the total to 116 languages.^[15]

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Additionally scripts for 37 languages are supported so it is possible to recognize a language by using the script it is written in.

User interfaces[edit]

Tesseract is executed from the command-line interface.^[16] While Tesseract is not supplied with a GUI, there are many separate projects which provide a GUI for it.^[17] One common example is OCRFeeder.^[18]

Reception[edit]

In a July 2007 article on Tesseract, Anthony Kay of Linux Journal termed it 'a quirky command-line tool that does an outstanding job'. At that time he noted 'Tesseract is a bare-bones OCR engine. The build process is a little quirky, and the engine needs some additional features (such as layout detection), but the core feature, text recognition, is drastically better than anything else I've tried from the Open Source community. It is reasonably easy to get excellent recognition rates using nothing more than a scanner and some image tools, such as The GIMP and Netpbm.'^[3]

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See also[edit]

References[edit]

1. ^ ^abGoogle (2008). 'tesseract-ocr'. Retrieved 2016-03-08.
2. ^'Releases - tesseract-ocr/tesseract'. Retrieved 5 January 2020 – via GitHub.
3. ^ ^abKay, Anthony (July 2007). 'Tesseract: an Open-Source Optical Character Recognition Engine'. Linux Journal. Retrieved 28 September 2011.
4. ^ ^abcVincent, Luc (August 2006). 'Announcing Tesseract OCR'. Archived from the original on October 26, 2006. Retrieved 2008-06-26.
5. ^ ^abcdeCanonical Ltd. (February 2011). 'OCR'. Retrieved 2011-02-11.
6. ^ ^abAnnouncing Tesseract OCR - The official Google blog
7. ^Willis, Nathan (September 2006). 'Google's Tesseract OCR engine is a quantum leap forward'. Retrieved 2008-07-18.
8. ^Rice Stephen V., Frank R. Jenkins, and Thomas A. Nartker The Fourth Annual Test of OCR Accuracy, expervision.com, retrieved 21 May 2013
9. ^Tesseract Project (February 2011). 'Issue 263: patch to enable hOCR output'. Archived from the original on November 13, 2012. Retrieved 26 February 2011.
10. ^'langdata - Source training data for Tesseract for lots of languages'. Retrieved 6 November 2016.
11. ^'Training LSTM networks on 100 languages and test results'(PDF). Retrieved 18 March 2018.
12. ^Announcing the OCRopus Open Source OCR System (Thomas Breuel, OCRopus Project Leader).
13. ^'FAQ - tesseract-ocr - Frequently Asked Questions - An OCR Engine that was developed at HP Labs between 1985 and 1995.. and now at Google. - Google Project Hosting'. Archived from the original on 23 December 2015. Retrieved 2014-05-30.
14. ^'ImproveQuality - tesseract-ocr - Advice on improving the quality of your output. - An OCR Engine that was developed at HP Labs between 1985 and 1995.. and now at Google. - Google Project Hosting'. 2014-01-27. Archived from the original on 20 September 2015. Retrieved 2014-05-30.
15. ^'TESSERACT(1) Manual Page'. Retrieved 15 March 2018.
16. ^Google Code – Tesseract Readme
17. ^'3rdParty - tesseract-ocr - GUIs and Other Projects using Tesseract OCR'. github.com. Retrieved 2017-03-30.
18. ^'OCRFeeder'. GNOME wiki. Retrieved 12 January 2019.

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External links[edit]

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• Hacking Tesseract V0.04 – C/C++ structure of Tesseract extracted from Doxyfied source code (based on Tesseract V1.03)
• Tesseract OCR Engine An Overview of the Tesseract OCR Engine.