Difference between revisions of "Tesseract-ocr"
Jump to navigation
Jump to search
m |
Prwheatley (talk | contribs) |
||
| (8 intermediate revisions by 3 users not shown) | |||
| Line 1: | Line 1: | ||
| − | {{ | + | {{Infobox tool |
| + | |image=Tesseract.png | ||
|purpose=Open source OCR engine, accepting uncompressed TIFF files as input | |purpose=Open source OCR engine, accepting uncompressed TIFF files as input | ||
| − | + | |homepage=https://github.com/tesseract-ocr/tesseract | |
| − | |homepage= | ||
|license=Apache 2.0 License EXCEPT the tesseractTrainer.py, which is licensed with GPL | |license=Apache 2.0 License EXCEPT the tesseractTrainer.py, which is licensed with GPL | ||
|platforms=Linux, Windows, MacOSX | |platforms=Linux, Windows, MacOSX | ||
| + | |formats_out=ALTO (Analyzed Layout and Text Object) | ||
| + | |function=OCR | ||
| + | |content=Image | ||
| + | }} | ||
| + | {{Infobox tool details | ||
| + | |ohloh_id=tesseract-ocr | ||
}} | }} | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
= Description = | = Description = | ||
Tesseract is probably the most accurate open source OCR engine available. Combined with the [http://leptonica.com/ 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. | Tesseract is probably the most accurate open source OCR engine available. Combined with the [http://leptonica.com/ 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. | ||
| Line 19: | Line 19: | ||
==Licensing and cost== | ==Licensing and cost== | ||
| − | Tesseract is an Open Source OCR engine, available under the [http://www.apache.org/licenses/LICENSE-2.0 Apache 2.0 license]. It can be used directly, or (for programmers) using an [ | + | Tesseract is an Open Source OCR engine, available under the [http://www.apache.org/licenses/LICENSE-2.0 Apache 2.0 license]. It can be used directly, or (for programmers) using an [https://github.com/tesseract-ocr/tesseract/blob/master/include/tesseract/baseapi.h API]. |
==History== | ==History== | ||
| Line 35: | Line 35: | ||
GIF is not supported [http://www.leptonica.com/library-overview.html http://www.leptonica.com/library-overview.html]. | GIF is not supported [http://www.leptonica.com/library-overview.html http://www.leptonica.com/library-overview.html]. | ||
===Output generated=== | ===Output generated=== | ||
| − | + | plain text, hOCR (HTML), PDF, invisible-text-only PDF, TSV and ALTO (XML) | |
==Documentation and support== | ==Documentation and support== | ||
| Line 41: | Line 41: | ||
*Installation information is found on the [https://code.google.com/p/tesseract-ocr/wiki/ReadMe ReadMe] page of the project site. | *Installation information is found on the [https://code.google.com/p/tesseract-ocr/wiki/ReadMe ReadMe] page of the project site. | ||
*Support is offered and issues are addressed on the [https://code.google.com/p/tesseract-ocr/issues/list Issues] page of the project site. | *Support is offered and issues are addressed on the [https://code.google.com/p/tesseract-ocr/issues/list Issues] page of the project site. | ||
| + | |||
| + | ==Included in== | ||
| + | *Integration with the free [http://www.dcc.ac.uk/resources/external/xena-software-0 Xena-Digital Preservation Software][http://sourceforge.net/projects/xena/?source=navbar http://sourceforge.net/projects/xena/?source=navbar] | ||
| + | *Integration with Free Online OCR [http://www.free-ocr.com/faq.html http://www.free-ocr.com/faq.html] | ||
==Usability== | ==Usability== | ||
| Line 47: | Line 51: | ||
= User Experiences = | = User Experiences = | ||
| − | |||
*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/ http://blogs.loc.gov/digitalpreservation/2014/08/making-scanned-content-accessible-using-full-text-search-and-ocr/] | *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/ 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 http://emop.tamu.edu/about] | *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 http://emop.tamu.edu/about] | ||
| Line 54: | Line 57: | ||
*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 http://blog.library.villanova.edu/digitallibrary/2014/02/18/digital-library-upgrade-provides-enhanced-discovery/#sthash.OwCtLlEc.dpuf] | *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 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: [http://wiki.opf-labs.org/display/AQuA/Compare+OCR+results+of+the+same+source+material+in+different+formats+%28TIFF%2C+JP2%29 Compare OCR results of the same source material in different formats (TIFF, JP2)] | *Applied in an AQuA Mashup that resulted in the Solution page: [http://wiki.opf-labs.org/display/AQuA/Compare+OCR+results+of+the+same+source+material+in+different+formats+%28TIFF%2C+JP2%29 Compare OCR results of the same source material in different formats (TIFF, JP2)] | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| + | = Development Activity = | ||
| + | Source Commits : [https://github.com/tesseract-ocr/tesseract/commits https://github.com/tesseract-ocr/tesseract/commits] | ||
| − | + | Issues : https://github.com/tesseract-ocr/tesseract/issues | |
| − | |||
| − | |||
Latest revision as of 15:00, 8 June 2021
Error in widget Ohloh Project: unable to write file /var/www/html/extensions/Widgets/compiled_templates/wrt673f00df2e98a5_15816784
Description[edit]
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.
Provider[edit]
Development of Tesseract is sponsored by Google. Its chief developer is Ray Smith.
Licensing and cost[edit]
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.
History[edit]
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.
Platform and interoperability[edit]
- 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.
Functional notes[edit]
Input supported[edit]
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.
Output generated[edit]
plain text, hOCR (HTML), PDF, invisible-text-only PDF, TSV and ALTO (XML)
Documentation and support[edit]
- 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.
Included in[edit]
- 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
Usability[edit]
- 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.
User Experiences[edit]
- 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)
Development Activity[edit]
Source Commits : https://github.com/tesseract-ocr/tesseract/commits