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Install Tesseract-OCR - open source OCR engine using Winget - wingetCollections
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Tesseract-OCR - open source OCR engine Tesseract-OCR community

hacktoberfest lstm machine-learning ocr ocr-engine tesseract tesseract-ocr
Use this command to install Tesseract-OCR - open source OCR engine:
winget install --id=tesseract-ocr.tesseract -e

Tesseract Open Source OCR Engine

Tesseract-OCR is an open-source optical character recognition (OCR) engine designed to extract text from images with high accuracy. It supports over 100 languages and various image formats, including PNG, JPEG, and TIFF, making it versatile for different use cases.

Key Features:

  • Supports multiple languages out of the box, enabling OCR in a wide range of scripts.
  • Handles various image formats, ensuring compatibility with common file types.
  • Produces outputs in formats like plain text, hOCR (HTML), PDF, TSV, ALTO, and PAGE for flexibility.
  • Includes a neural network-based LSTM engine for advanced line recognition alongside the legacy Tesseract OCR engine.
  • Allows users to train the engine for new languages or refine existing models, enhancing adaptability.
  • Can be installed via winget for easy setup.

Audience & Benefit: Ideal for developers integrating OCR into applications, businesses digitizing documents, and researchers needing customizable OCR solutions. Tesseract-OCR provides a cost-effective and highly adaptable tool for extracting text from images efficiently, supporting both legacy workflows and modern neural network-based approaches.

README

Tesseract OCR

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Table of Contents

  • Tesseract OCR
    • About
    • Brief history
    • Installing Tesseract
    • Running Tesseract
    • For developers
    • Support
    • License
    • Dependencies
    • Latest Version of README

About

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 repository.

Versions
5.5.0.20241111
Website
github.com
License
Last Updated
5/15/2025
tessdata

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, ALTO and PAGE.

You should note that in many cases, in order to get better OCR results, you'll need to improve the quality of the image you are giving Tesseract.

This project does not include a GUI application. If you need one, please see the 3rdParty documentation.

Tesseract can be trained to recognize other languages. See Tesseract Training for more information.

Brief history

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.

Installing Tesseract

You can either Install Tesseract via pre-built binary package or build it from source.

Before building Tesseract from source, please check that your system has a compiler which is one of the supported compilers.

Running Tesseract

Basic command line usage:

tesseract imagename outputbase [-l lang] [--oem ocrenginemode] [--psm pagesegmode] [configfiles...]

For more information about the various command line options use tesseract --help or man tesseract.

Examples can be found in the documentation.

For developers

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.

Support

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.

License

The code in this repository is licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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.

Dependencies

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).

Latest Version of README

For the latest online version of the README.md see: