Use this command to install Tesseract-OCR - open source OCR engine:
winget install --id=tesseract-ocr.tesseract -e
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.
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.
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 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.
Developers can use libtesseractC 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.
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
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:
