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[1] [6] [7] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development was sponsored by Google in 2006. [ 8 ] In 2006, Tesseract was considered one of the most accurate open-source OCR engines available.
- Table of Contents
- About
- Brief history
- Installing Tesseract
- Running Tesseract
- For developers
- Support
- License
- Dependencies
- Latest Version of README
This package contains an OCR engine - libtesseract and a command line program - tesseract.
Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.
Stefan Weil is the current lead developer. Ray Smith was the lead developer until 2018. The maintainer is Zdenko Podobny. For a list of contributors see AUTHORS and GitHub's log of contributors.
Tesseract has unicode (UTF-8) support, and can recognize more than 100 languages "out of the box".
Tesseract supports various image formats including PNG, JPEG and TIFF.
Tesseract supports various output formats: plain text, hOCR (HTML), PDF, invisible-text-only PDF, TSV and ALTO.
Tesseract was originally developed at Hewlett-Packard Laboratories Bristol UK and at Hewlett-Packard Co, Greeley Colorado USA between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. From 2006 until November 2018 it was developed by Google.
Major version 5 is the current stable version and started with release 5.0.0 on November 30, 2021. Newer minor versions and bugfix versions are available from GitHub.
Latest source code is available from main branch on GitHub. Open issues can be found in issue tracker, and planning documentation.
See Release Notes and Change Log for more details of the releases.
You can either Install Tesseract via pre-built binary package or build it from source.
A C++ compiler with good C++17 support is required for building Tesseract from source.
Basic command line usage:
For more information about the various command line options use tesseract --help or man tesseract.
Developers can use libtesseract C or C++ API to build their own application. If you need bindings to libtesseract for other programming languages, please see the wrapper section in the AddOns documentation.
Documentation of Tesseract generated from source code by doxygen can be found on tesseract-ocr.github.io.
Before you submit an issue, please review the guidelines for this repository.
For support, first read the documentation, particularly the FAQ to see if your problem is addressed there. If not, search the Tesseract user forum, the Tesseract developer forum and past issues, and if you still can't find what you need, ask for support in the mailing-lists.
Mailing-lists:
•tesseract-ocr - For tesseract users.
•tesseract-dev - For tesseract developers.
Please report an issue only for a bug, not for asking questions.
NOTE: This software depends on other packages that may be licensed under different open source licenses.
Tesseract uses Leptonica library which essentially uses a BSD 2-clause license.
Tesseract uses Leptonica library for opening input images (e.g. not documents like pdf). It is suggested to use leptonica with built-in support for zlib, png and tiff (for multipage tiff).
For the latest online version of the README.md see:
https://github.com/tesseract-ocr/tesseract/blob/main/README.md
Mar 5, 2002 · Tesseract is an open source text recognition (OCR) Engine, available under the Apache 2.0 license. Major version 5 is the current stable version and started with release 5.0.0 on November 30, 2021. Newer minor versions and bugfix versions are available from GitHub.
Tesseract is an open source text recognition (OCR) Engine, available under the Apache 2.0 license. It can be used directly, or (for programmers) using an API to extract printed text from images. It supports a wide variety of languages.
Tesseract is an open source text recognition (OCR) Engine, available under the Apache 2.0 license. It can be used directly, or (for programmers) using an API to extract printed text from images. It supports a wide variety of languages.
Apr 23, 2024 · Tesseract OCR is an open-source optical character recognition engine that is the most popular among developers. Like other tools in this list, Tesseract can take images of text and convert them into editable text. Advantages. Widely used and mature library with a large community. Supports over 100 languages. Free and open-source. Disadvantages.
Installation. On Windows and MacOS the package binary package can be installed from CRAN: install.packages ("tesseract") Installation from source on Linux or OSX requires the Tesseract library (see below). Install from source. On Debian or Ubuntu install libtesseract-dev and libleptonica-dev. Also install tesseract-ocr-eng to run examples.
