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Introduction

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 doesn't have a built-in GUI, but there are several available from the 3rdParty page.

Installation

There are two parts to install, the engine itself, and the training data for a language.

Linux

Tesseract is available directly from many Linux distributions. The package is generally called 'tesseract' or 'tesseract-ocr' - search your distribution's repositories to find it. Thus you can install Tesseract 4.x and its developer tools on Ubuntu 18.x bionic by simply running:

sudo apt install tesseract-ocr
sudo apt install libtesseract-dev

Note for Ubuntu users: In case apt is unable to find the package try adding universe entry to the sources.list file as shown below.

sudo vi /etc/apt/sources.list

Copy the first line "deb http://archive.ubuntu.com/ubuntu bionic main" and paste it as shown below on the next line.
If you are using a different release of ubuntu, then replace bionic with the respective release name.

deb http://archive.ubuntu.com/ubuntu bionic universe

Packages for over 130 languages and over 35 scripts are also available directly from the Linux distributions. The language packages are called 'tesseract-ocr-langcode' and 'tesseract-ocr-script-scriptcode', where langcode is three letter language code and scriptcode is four letter script code.

Examples: tesseract-ocr-eng (English), tesseract-ocr-ara (Arabic), tesseract-ocr-chi-sim (Simplified Chinese), tesseract-ocr-script-latn (Latin Script), tesseract-ocr-script-deva (Devanagari script), etc.

For distributions that are supported by snapd you may also run the following command to install the tesseract built binaries(Don't have snapd installed?):

sudo snap install --channel=edge tesseract

The traineddata is currently not shipped with the snap package and must be placed manually to ~/snap/tesseract/current.

Tesseract Development Version with LSTM engine and related traineddata

5.00 Alpha

Ubuntu PPA

Debian

https://notesalexp.org/tesseract-ocr/

AppImage

Instruction

  1. Download AppImage from releases page
  2. Open your terminal application, if not already open
  3. Browse to the location of the AppImage
  4. Make the AppImage executable:
    $ chmod a+x tesseract*.AppImage
  5. Run it:
    ./tesseract*.AppImage -l eng page.tif page.txt

AppImage compatibility

  • Debian: ≥ 10
  • Fedora: ≥ 29
  • Ubuntu: ≥ 18.04
  • CentOS ≥ 8
  • openSUSE Tumbleweed

Included traineddata files

  • deu - German
  • eng - English
  • fin - Finnish
  • fra - French
  • osd - Script and orientation
  • por - Portuguese
  • rus - Russian
  • spa - Spanish

Tesseract 4 packages with LSTM engine and related traineddata

Ubuntu

4.1.x
4.0.x

Ubuntu PPA

Debian

4.1.x

There are also 4.1.x packages for other versions of Debian, check it here https://notesalexp.org/tesseract-ocr/

4.0.x

Raspbian

RHEL/CentOS/Scientific Linux, Fedora, openSUSE packages

For example to install Tesseract with German language traineddata:

For CentOS 8 run the following as root:

dnf config-manager --add-repo https://download.opensuse.org/repositories/home:/Alexander_Pozdnyakov/CentOS_8/
rpm --import https://build.opensuse.org/projects/home:Alexander_Pozdnyakov/public_key
dnf install tesseract
dnf install tesseract-langpack-deu

For RHEL 7 run the following as root:

yum-config-manager --add-repo https://download.opensuse.org/repositories/home:/Alexander_Pozdnyakov/RHEL_7/
yum update
yum install tesseract 
yum install tesseract-langpack-deu

For CentOS 7 run the following as root:

yum-config-manager --add-repo https://download.opensuse.org/repositories/home:/Alexander_Pozdnyakov/CentOS_7/
sudo rpm --import https://build.opensuse.org/projects/home:Alexander_Pozdnyakov/public_key
yum update
yum install tesseract 
yum install tesseract-langpack-deu

For Scientific Linux 7 run the following as root:

yum-config-manager --add-repo https://download.opensuse.org/repositories/home:/Alexander_Pozdnyakov/ScientificLinux_7/
yum update
yum install tesseract 
yum install tesseract-langpack-deu

For Fedora 32 run the following as root:

dnf config-manager --add-repo https://download.opensuse.org/repositories/home:Alexander_Pozdnyakov/Fedora_32/home:Alexander_Pozdnyakov.repo
dnf install tesseract
dnf install tesseract-langpack-deu

For Fedora 31 run the following as root:

dnf config-manager --add-repo https://download.opensuse.org/repositories/home:Alexander_Pozdnyakov/Fedora_31/home:Alexander_Pozdnyakov.repo
dnf install tesseract
dnf install tesseract-langpack-deu

For openSUSE Tumbleweed run the following as root:

zypper addrepo https://download.opensuse.org/repositories/home:Alexander_Pozdnyakov/openSUSE_Tumbleweed/home:Alexander_Pozdnyakov.repo
zypper refresh
zypper install tesseract-ocr
zypper install tesseract-ocr-traineddata-german

For openSUSE Leap 15.0 run the following as root:

zypper addrepo https://download.opensuse.org/repositories/home:Alexander_Pozdnyakov/openSUSE_Leap_15.0/home:Alexander_Pozdnyakov.repo
zypper refresh
zypper install tesseract-ocr
zypper install tesseract-ocr-traineddata-german

FOR EXPERTS ONLY.

If you are experimenting with OCR Engine modes, you will need to manually install language training data beyond what is available in your Linux distribution.

Various types of training data can be found on GitHub. Unpack and copy the .traineddata file into a 'tessdata' directory. The exact directory will depend both on the type of training data, and your Linux distribution. Possibilities are /usr/share/tesseract-ocr/tessdata or /usr/share/tessdata or /usr/share/tesseract-ocr/4.00/tessdata.

Training data for obsolete Tesseract versions =< 3.02 reside in another location.

If Tesseract is not available for your distribution, or you want to use a newer version than they offer, you can compile your own.

macOS

You can install Tesseract using either MacPorts or Homebrew.

A macOS wrapper for the Tesseract API is also available at Tesseract macOS.

MacPorts

To install Tesseract run this command:

sudo port install tesseract

To install any language data, run:

sudo port install tesseract-<langcode>

List of available langcodes can be found on MacPorts tesseract page.

Homebrew

To install Tesseract run this command:

brew install tesseract

The tesseract directory can then be found using brew info tesseract, e.g. /usr/local/Cellar/tesseract/3.05.02/share/tessdata/.

Windows

Installer for Windows for Tesseract 3.05, Tesseract 4 and development version 5.00 Alpha are available from Tesseract at UB Mannheim. These include the training tools. Both 32-bit and 64-bit installers are available.

An installer for the OLD version 3.02 is available for Windows from our download page. This includes the English training data. If you want to use another language, download the appropriate training data, unpack it using 7-zip, and copy the .traineddata file into the 'tessdata' directory, probably C:\Program Files\Tesseract-OCR\tessdata.

To access tesseract-OCR from any location you may have to add the directory where the tesseract-OCR binaries are located to the Path variables, probably C:\Program Files\Tesseract-OCR.

Experts can also get binaries build with Visual Studio from the build artifacts of the Appveyor Continuous Integration.

Cygwin

Released version >= 3.02 of tesseract-ocr are part of Cygwin

The latest version available is 4.1.0. Please see announcement.

MSYS2

Install tesseract-OCR:

 pacman -S mingw-w64-{i686,x86_64}-tesseract-ocr

and the data files:

 pacman -S mingw-w64-{i686,x86_64}-tesseract-data-eng

In the above command, "eng" may be replaced with the ISO 639 3-letter language code for supported languages. For a list of available language packages use:

  pacman -Ss tesseract-data

Other Platforms

Tesseract may work on more exotic platforms too. You can either try compiling it yourself, or take a look at the list of other projects using Tesseract.

Running Tesseract

Tesseract is a command-line program, so first open a terminal or command prompt. The command is used like this:

  tesseract imagename outputbase [-l lang] [-psm pagesegmode] [configfile...]

So basic usage to do OCR on an image called 'myscan.png' and save the result to 'out.txt' would be:

  tesseract myscan.png out

Or to do the same with German:

  tesseract myscan.png out -l deu

It can even be used with multiple languages traineddata at a time eg. English and German:

  tesseract myscan.png out -l eng+deu

Tesseract also includes a hOCR mode, which produces a special HTML file with the coordinates of each word. This can be used to create a searchable pdf, using a tool such as Hocr2PDF. To use it, use the 'hocr' config option, like this:

  tesseract myscan.png out hocr

You can also create a searchable pdf directly from tesseract ( versions >=3.03):

  tesseract myscan.png out pdf

More information about the various options is available in the Tesseract manpage.

Other Languages

Tesseract has been trained for many languages, check for your language in the Tessdata repository.

It can also be trained to support other languages and scripts; for more details see TrainingTesseract.

Development

Tesseract can also be used in your own project, under the terms of the Apache License 2.0. It has a fully featured API, and can be compiled for a variety of targets including Android and the iPhone. See the 3rdParty page for a sample of what has been done with it. Note that as yet there are very few 3rdParty Tesseract OCR projects being developed for Mac (with the only one being Tesseract macOS.md), although there are several online OCR services that can be used on Mac that may use Tesseract as their OCR engine.

Also, it is free software, so if you want to pitch in and help, please do! If you find a bug and fix it yourself, the best thing to do is to attach the patch to your bug report in the Issues List

Support

First read the documentation, particularly the FAQ to see if your problem is addressed there. If not, search the Tesseract user forum or the Tesseract developer forum, and if you still can't find what you need, please ask us there.