OCR (Optical character reader/recognition) is the electronic conversion of images to printed text. There are many OCR software which helps you to extract text from images into searchable files. These tools accept numerous image types and converts into well-known file formats like word, excel, or plain text.

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Optical Character Recognition Free to try Erik Salaj, Winsoft XE Windows XP/2003/Vista/Server 2008/7/8 Version 4.1 Full Specs Download Now Secure Download. Open a PDF file containing a scanned image in Acrobat for Mac or PC. Click on the “Edit PDF” tool in the right pane. Acrobat automatically applies optical character recognition (OCR) to your document and converts it to a fully editable copy of your PDF. Click the text element you wish to edit and start typing. New text matches the look of. Mar 04, 2015 FreeOCR is a free Optical Character Recognition Software for Windows and supports scanning from most Twain scanners and can also open most scanned PDF's and multi page Tiff images as well as.

Following is a handpicked list of OCR Software, with their popular features and website links. The list contains both open source(free) and commercial(paid) software.

1) OnlineOCR

OnlineOCR recognizes characters and text from PDF documents and images. It allows you to convert more than 15 images per hour into editable text formats.

Features:

• It supports more than 46 languages, including English, Chinese, French, etc.
• OnlineOCR can handle BMP (Bit Map), PNG (Portable Network Graphics), zip files, etc.
• You can convert text into Word, Excel, RTF, and plain text format.
• This service allows you to integrate converted files into your website.

Link:https://www.onlineocr.net/

2) Nanonets

NanoNets is a web service that helps you to digitize documents and PDF using OCR. You can use it to convert more than 100 scanned documents at the same time into formats, like XML, PDF, and more.

Features:

• You can specify a category of text for accurate detection.
• It enables you to upload up to 50 images of each text category.
• NanoNets automatically type out characters from captured images.
• You can get your converted files within few hours.
• It can transform the human-readable text into structured data using OCR.
• This app enables you to extract information from images.

Link:https://nanonets.com/ocr-api/

3) Adobe Acrobat

Adobe Acrobat is an OCR system that helps you to convert scanned PDF files, images into searchable/editable documents. It provides custom fonts that look similar to printouts.

Features:

• You can instantly edit any printed document.
• It enables you to easily cut and paste the text into other applications.
• Acrobat enables you to export the file to Microsoft office.
• You can convert scanned documents to PDF file and move the data from one location to another.
• This tool helps you to keep the look and feel of documents like the original one.

Link:https://acrobat.adobe.com/us/en/acrobat/how-to/ocr-software-convert-pdf-to-text.html

4) LightPDF

LightPDF is online service that helps you to convert and manage scanned PDF files into editable text formats. It enables you to add files by a single mouse click.

Features:

• It enables you to select more than one language for recognizing text.
• This tool encrypts your personal information.
• You can turn images and PDF into PPT, TXT, RTF, etc. formats.
• LightPDF provides support on the phone.
• You can scan files having more than 30 MB size.

Link:https://lightpdf.com/

5) Ocr.space

Ocr.space is a service that converts images containing text into an editable file format using OCR. This website also helps you to get a text from PDF files.

Features:

• It allows you to choose a specific language for your document.
• This service can also transform a screenshot of text documents.
• You can use Ocr.space without any registration.
• Ocr.space enables you to get an editable file into a multi-column text format.
• It does not store your confidential data on the server.

Link:https://ocr.space/

6) Easy Screen OCR

Easy Screen OCR enables you to turn images into an editable text file format. It helps you to capture screenshots to extract text in an efficient way.

Features:

• It supports drag and drop facility to upload files.
• Easy Screen OCR deletes uploaded files within 30 minutes.
• You can extract text from images without registration.
• This service uses Google learning service to keep your cloud data safe.
• You can add up to five pictures for the conversion.
• It can recognize 100+ languages.
• Easy Screen OCR enables you to set a shortcut for easy access.

Link:https://easyscreenocr.com/

7) Symphony

Symphony is a back-end OCR engine which ensures that the text of the scanned file is searchable. This service enables you to extract text from PDF, TIFF (Tagged Image File Format), e-faxes, email, etc.

Features:

• Symphony OCR helps you to detect text from PDF files containing scanned images.
• You can copy and paste text from the documents.
• It enables you to search text in the document.
• This tool can be integrated with SharePoint, ShareFile, etc.

Link:https://trumpetinc.com/products/symphony-ocr/

8) FineScanner

FineScanner is a smart scanner that captures documents as well as books and converts them into easy to search text format. Once the scan is done, you can make changes in the output file.

Features:

• It can read your phone screen, including icons, links, buttons, etc.
• FineScanner accepts virtual assistant commands to get PDF, scan documents, open books.
• Output can be shared with other people.
• You can use it on iPad or iPhone.

Link:https://apps.apple.com/us/app/finescanner-cam-scan-to-pdf/id534203582

9) Text Fairy

Text Fairy is the Android OCR app. This app can scan text from images or photos taken from the camera. It can recognize print from more than 50 languages.

Features:

• It can extract text from scanned images.
• This app automatically adjusts the image accurately for a better result.
• You can edit the resulted file.
• It can convert images into PDF files.
• Text Fairy does not show any advertisement while using it.

Link:https://play.google.com/store/apps/details?id=com.renard.ocr&hl=en_IN

10) Softworks OCR

Softworks is a OCR program that helps you to extract data from images. It enables you to minimize manual entry and provides an automated solution for your business.

Optical Character Recognition Software For Mac Free App

Features:

• It helps you to improve the quality of scanned documents.
• Softworks OCR accepts numerous input sources.
• It uses a computer vision algorithm to analyze the processed page.
• This tool can detect existing layers of texts within an image or document.

Link:https://www.softworksai.com/our-solutions/optical-character-recognition

11) Text Scanner [OCR]

Text Scanner [OCR] is an Android app that scans texts. It helps you to convert images to text. This tool can automatically recognize characters from a photo.

Features:

• It supports 50+ languages.
• You can scan the handwritten paper and turn it into a digital format.
• Text Scanner [OCR] helps you to share a file with others via email.
• You can save the file to Google drive.
• It supports communication software like Google Hangouts and Google+ social media website.

Link:https://play.google.com/store/apps/details?id=com.peace.TextScanner&hl=en_IN

12) Scanbot SDK

Scanbot SDK helps you to scan and create documents from your phone. It provides SDK (System Development Kit) that can be easily integrated into Android and iOS projects.

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Features:

• It automatically recognizes text from scanned images.
• You can extract text from documents and transform it into searchable and editable files.
• This app supports all major operating systems.
• You can use it offline.
• Scanbot SDK can recognize Latin, Arabic, Asian, etc. characters.
• You can scan PDF files having a multi-page.

Link:https://scanbot.io/en/sdk/scanner-sdk/ocr.html

13) ABBYY Cloud Reader

ABBYY Cloud Reader is a tool that recognizes a full printed or handwritten page. It can detect more than 200 languages. This tool helps you to transform PDF/image to searchable MS Word, Excel, PDF, etc. format.

Features:

• It supports Mobile devices and desktop PC.
• This tool can recognize receipt and business cards.
• ABBYY Cloud Reader provides REST (Representational State Transfer).
• It converts recognized data into XML (Extensible Markup Language).
• This tool provides a library for Java, .NET, iOS, and Python.

Link:https://www.ocrsdk.com/

14) OCR Text Scanner

OCR Text Scanner enables you to recognize text in scanned documents. It is a user-friendly app that helps you to turn your handwritten or typed format into editable file.

Features:

• It can detect text in more than 30 languages.
• You can copy text from the clipboard.
• OCR Text Scanner helps you to share a document via email.
• It automatically recognizes text written in the scanned document.
• This tool helps you to save a quotation written in a magazine or books.
• You can use the OCR Text Scanner online and offline.
• OCR Text Scanner helps you to send the extracted file to other people via email.
• It can identify typed text format.

Link:https://play.google.com/store/apps/details?id=com.fourtechsolutions.ocr_reader_ocr_scanner_ocr_text_scanner&hl=en_IN

15) Google Cloud

Google Cloud Vision is an API that can detect text in images. It allows you to convert PDF, PNG, JPEG, etc. file format to machine-readable text.

Features:

• You can use this application on a computer, Android phone, iPhone, iPad, and more.
• It can detect handwriting in images.
• This tool can extract and save text from uploaded images.
• It triggers cloud function in order to save text to online storage.
• Google Cloud automatically detects image files located in the cloud.

Link:https://cloud.google.com/vision/

16) OneNote

OneNote is an optical character recognition product that enables you to copy text from a printout or picture. This software helps you to make changes in the file.

Features:

• You can turn information written in the image into the text by just one click.
• It enables you to extract text from printout.
• OneNote helps you to extract text from a business card.
• You can paste copied text using the keyword shortcut.

Link:https://www.onenote.com/

17) Soda PDF

Soda PDF transforms paper documents and images into editable PDF files. It recognizes the text from more than one document simultaneously.

Features:

• Soda PDF helps you to change font type, style, and size.
• It stores files on the server for 24 hours.
• You can use this app online and offline.
• PDF files having images can be easily converted into plain text.
• It encrypts the URL between the server and the browser.

Link:https://www.sodapdf.com/products/soda-overview/#ocr

18) Chronoscan

Chronoscan is a document processing and data extraction application. It is flexible and easy to use. This tool can scan documents in less time.

Features:

• It enables you to scan a large volume of documents.
• You can effortlessly filter out text from PDF files.
• Chronoscan enables you to upload documents to the cloud.
• You can export documents to ERP (Enterprise Resource Planning) software.
• It helps you to reduce data entry work.
• This software helps you to quickly organize your document.

Link:https://www.chronoscan.org/

19) Readiris

Readiris is a simple software package that automatically transforms text from paper documents or images. It helps you to make changes in the file without retyping it.

Features:

• It supports numerous output formats.
• Readiris can listen to your books with a format specified by you.
• Compatible with Windows and Mac operating systems.
• Chronoscan helps you to edit the embedded text in an image.
• You can export files to Microsoft Word, Excel, PowerPoint, etc.

Link: https://www.irislink.com/EN-IN/c1729/Readiris-17--the-PDF-and-OCR-solution-for-Windows-.aspx

20) Amazon Textract

Amazon Textract is a service that helps you to extract text from scanned documents. You can use it to automate document workflow, process numerous documents quickly.

Features:

• It identifies content written in form or table.
• This tool uses API to get data from documents.
• It automatically extracts data from forms.
• Textract can read virtually any documents.
• Automatically identifies key information.
• You can adjust document quality in percentage.
• It is integrated with Amazon Augmented AI service for document processing.

Link:https://aws.amazon.com/textract/

21) Evernote Scannable

Evernote Scannable is a mobile app that helps you to capture paper and transform it into ready to save files. It enables you to share the file with other people.

Features:

• You can scan receipts, business cards, contracts, etc.
• It automatically rotates, crops, and adjust images.
• Evernote enables you to export documents as JPG and PDF files.
• You can effortlessly extract contact details from business cards.
• This app can be used on iPad, iPhone, and iPod touch.
• Preview images before approving them.
• It enables you to send the converted file via email or text message.

Link:https://evernote.com/products/scannable/

22) Infrrd

Infrrd is an OCR solution. It enables you to convert documents into easy to read files. This app can filter out text from contracts, financial, and medical documents.

Features:

• Infrrd app can recognize titles and text quickly.
• It enables you to filter text from Infrrd using machine learning.
• You can integrate with your existing CRM (Customer Relationship Management).
• This tool uses AI (Artificial Intelligence) technology to extract data from the invoice.
• You can classify documents according to category.
• It provides OCR solution for all document formats.

Link:https://infrrd.ai/products/machine-learning-ocr

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]

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]

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

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]

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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]

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]

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.

External links[edit]

• 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.

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