Comparison of optical character recognition software

This comparison of optical character recognition software includes:

  • OCR engines, that do the actual character identification
  • 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)
Sortable table
Name Founded year Latest stable version Release year License Online Windows Mac OS X Linux BSD Programming language SDK? Languages Fonts Output Formats Notes
Google Drive OCR or Google Cloud Vision 2015 Free Yes Browser Browser Browser Unknown Unknown Yes 200+ All fonts text Google blog post [1] [2]
Tesseract 1985 4.1.1 2019 Apache No Yes Yes Yes Yes C++, C Yes 100+[3] Any printed font Text, hOCR,[4] PDF, others with different user interfaces[5] or the API Created by Hewlett-Packard; under further development by Google[6]
ABBYY FineReader 1989 14 2017-01-25 Proprietary Yes Yes Yes Yes Yes C/C++ Yes 192[7] ? DOC, DOCX, XLS, XLSX, PPTX, RTF, PDF, HTML, CSV, TXT, ODT, DjVu, EPUB, FB2[8] ABBYY also supplies SDKs for embedded and mobile devices. Professional, Corporate and Site License Editions for Windows, Express Edition for Mac.[9]
E-aksharayan 2010 Yes No Yes No 14 RTF, TXT, BRL
Asprise OCR SDK 1998 15 2015 Proprietary Yes Yes Yes Yes Yes Java, C#,VB.NET, C/C++/Delphi Yes 20+[10] ? Plain text, searchable PDF, XML[11] Java, C#, VB.NET, C/C++/Delphi SDKs for OCR and Barcode recognition on Windows, Linux, Mac OS X and Unix.[12]
AnyDoc Software 1989 ? ? Proprietary No Yes No No No VBScript ? ? ? Works with structured, semi-structured, and unstructured documents.
CuneiForm 1996 1.1 2011-04-19 BSD variant No Yes Yes Yes Yes C/C++ Yes 28 Any printed font HTML, hOCR, native, RTF, TeX, TXT[13] Enterprise-class system, can save text formatting and recognizes complicated tables of any structure
Dynamsoft OCR SDK 2003 8.2 2012 Proprietary Yes Yes No No No C/C++ Yes 40+[14] ? PDF, TXT
OmniPage 1970s 19.2 2015 Proprietary Yes Yes Yes Yes No C/C++, C#[15] Yes 125[16] Machine and handprinted fonts DOC/DOCX XLS/XLSX PPTX RTF PDF PDF/A Searchable PDF HTML Text XML ePUB MP3 Product of Nuance Communications
Microsoft Office OneNote 2007 2011 ? 2007 Proprietary No Yes No No No ? ? ? ?
GOCR 2000 0.52[17] 2018-10-15 GPL Yes[18] Yes Yes Yes Yes C ? 20+ ?
Ocrad ? 0.26[19] 2017-03-31 GPL Yes No Yes Yes Yes C++ Yes Latin alphabet ? Command line
SmartScore 1991 10.5.8 2015-07 Proprietary No Yes Yes No No ? ? ? ? For musical scores
Microsoft Office Document Imaging ? Office 2007 2007 Proprietary No Yes No No No ? ? ? ? Uses OmniPage[citation needed]
Puma.NET ? ? 2009-10-29 BSD No Yes No No No C# Yes 28 Any printed font .NET OCR SDK based on Cognitive Technologies' CuneiForm recognition engine. Wraps Puma COM server and provides simplified API for .NET applications
ReadSoft ? ? ? Proprietary No Yes No No No ? ? ? ? Scan, capture and classify business documents such as invoices, forms and purchase orders integrated with business processes.
Scantron ? ? ? Proprietary No Yes No No No ? ? ? ? For working with localized interfaces, corresponding language support is required.
OCRFeeder 2009-03 0.8.1 2014-12-22 GPL No No No Yes No Python ? ? ? Features a full user interface and has a command-line tool for automatic operations. Has its own segmentation algorithm but uses system-wide OCR engines like Tesseract or Ocrad
OCRopus 2007 1.3.3 2017-12-16 Apache No No Yes Yes Yes Python ? All languages using Latin script (other languages can be trained) Normal Latin script and Fraktur (other scripts can be trained) TXT, hOCR[20], PDF[21] Pluggable framework under active development, used for Google Books
Name Founded year Latest stable version Release year License Online Windows Mac OS X Linux BSD Programming language SDK? Languages Fonts Output Formats Notes

Evaluation

An analysis of the accuracy and reliability of the OCR packages Google Docs OCR, Tesseract, ABBYY FineReader, and Transym, employing a dataset including 1227 images from 15 different categories concluded Google Docs OCR and ABBYY to be performing better than others. [22]

References

  1. ^ Dmitriy Genzel; Ashok Popat (May 6, 2015). "Paper to Digital in 200+ languages".
  2. ^ Ashok Popat (Sep 4, 2015). "IEEE SPS: Optical Character Recognition for Most of the World's Languages".
  3. ^ Based on count of language training files for version 3.04. Available at the download page.
  4. ^ Usage explained in the Tesseract Readme and FAQ
  5. ^ Such as ODF with OCRFeeder
  6. ^ "GitHub - tesseract-ocr/tesseract: Tesseract Open Source OCR Engine (main repository)". Retrieved 2018-11-05.
  7. ^ "ABBYY FineReader 14: Technical Specifications". Finereader.abbyy.com. Retrieved 2017-02-23.
  8. ^ "ABBYY FineReader 11: Technical Specifications". Finereader.abbyy.com. Retrieved 2013-09-12.
  9. ^ "Top OCR Software". Ocrworld.com. 2010-03-30. Retrieved 2013-09-12.
  10. ^ "Asprise OCR SDK Features". asprise.com. Retrieved 2014-06-21.
  11. ^ "Asprise Java OCR Library Features". asprise.com. Retrieved 2014-06-21.
  12. ^ "Asprise Java, C#/VB.NET OCR API". asprise.com. 2015-11-19. Retrieved 2015-11-19.
  13. ^ Debian manual page for Cuneiform for Linux version 1.1.0
  14. ^ "OCR SDK Language Packages Download". Dynamsoft.com. Retrieved 2013-09-12.
  15. ^ "OmniPage CSDK - OCR Document Capture Toolkit | Document Imaging & OCR". Nuance. Archived from the original on 2010-08-24. Retrieved 2013-09-12.
  16. ^ "OmniPage Standard Document Conversion". Nuance. Archived from the original on 2014-03-13. Retrieved 2014-02-25.
  17. ^ "GOCR Homepage". wasd.urz.uni-magdeburg.de. Retrieved 2018-10-17.
  18. ^ "GOCR". Jocr.sourceforge.net. Retrieved 2013-09-12.
  19. ^ Diaz, Antonio (2015-04-16). "GNU Ocrad 0.26 released" (Mailing list). info-gnu.
  20. ^ OCRopus includes the ocropus-hocr tool which produces hOCR from the recognition results.
  21. ^ In combination with the hocr-tools
  22. ^ Assefi, Mehdi (2016-12-01). "OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym". Research gate. Retrieved 2019-01-31.

This page was last updated at 2020-02-28 08:40 UTC. Update now. View original page.

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