Prerequisites: Python-tesseract requires Python 2.7 or Python 3.6+ You will need the Python Imaging Library (PIL) (or the Pillow fork). Under Debian/Ubuntu, this is the package python-imaging or python3-imaging. Requests is an elegant and simple HTTP library for Python, built for human beings. One of the most famous libraries for python used by developers al over the world. This article revolves around how one can install requests library of python in Windows/ Linux/ macOS, etc. Installation Windows.
Open Terminal and Enter. Python-path -m pip install package-name. #Copy the line below along with your file/Python path python-path -m pip install package-name. #Example with Python path: /Library/Frameworks/Python.framework/Versions/3.7/bin/python3.7 -m pip install matplotlib. For most Unix systems, you must download and compile the source code. The same source code archive can also be used to build the Windows and Mac versions, and is the starting point for ports to all other platforms. Download the latest Python 3 and Python 2 source.
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Python-tesseract is a python wrapper for Google's Tesseract-OCR
Project description
Python-tesseract is an optical character recognition (OCR) tool for python.That is, it will recognize and “read” the text embedded in images.
Python-tesseract is a wrapper for Google’s Tesseract-OCR Engine.It is also useful as a stand-alone invocation script to tesseract, as it can read all image typessupported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff,and others. Additionally, if used as a script, Python-tesseract will print the recognizedtext instead of writing it to a file.
USAGE
Quickstart
Note: Test images are located in the tests/data folder of the Git repo.
Library usage:
Support for OpenCV image/NumPy array objects
If you need custom configuration like oem/psm, use the config keyword.
Add the following config, if you have tessdata error like: “Error opening data file…”
Functions
- get_languages Returns all currently supported languages by Tesseract OCR.
- get_tesseract_version Returns the Tesseract version installed in the system.
- image_to_string Returns unmodified output as string from Tesseract OCR processing
- image_to_boxes Returns result containing recognized characters and their box boundaries
- image_to_data Returns result containing box boundaries, confidences, and other information. Requires Tesseract 3.05+. For more information, please check the Tesseract TSV documentation
- image_to_osd Returns result containing information about orientation and script detection.
- image_to_alto_xml Returns result in the form of Tesseract’s ALTO XML format.
- run_and_get_output Returns the raw output from Tesseract OCR. Gives a bit more control over the parameters that are sent to tesseract.
Parameters
image_to_data(image, lang=None, config=', nice=0, output_type=Output.STRING, timeout=0, pandas_config=None)
- image Object or String - PIL Image/NumPy array or file path of the image to be processed by Tesseract. If you pass object instead of file path, pytesseract will implicitly convert the image to RGB mode.
- lang String - Tesseract language code string. Defaults to eng if not specified! Example for multiple languages: lang='eng+fra'
- config String - Any additional custom configuration flags that are not available via the pytesseract function. For example: config='--psm 6'
- nice Integer - modifies the processor priority for the Tesseract run. Not supported on Windows. Nice adjusts the niceness of unix-like processes.
- output_type Class attribute - specifies the type of the output, defaults to string. For the full list of all supported types, please check the definition of pytesseract.Output class.
- timeout Integer or Float - duration in seconds for the OCR processing, after which, pytesseract will terminate and raise RuntimeError.
- pandas_config Dict - only for the Output.DATAFRAME type. Dictionary with custom arguments for pandas.read_csv. Allows you to customize the output of image_to_data.
CLI usage:
INSTALLATION
Prerequisites:
Python-tesseract requires Python 2.7 or Python 3.6+
You will need the Python Imaging Library (PIL) (or the Pillow fork).Under Debian/Ubuntu, this is the package python-imaging or python3-imaging.
Install Google Tesseract OCR(additional info how to install the engine on Linux, Mac OSX and Windows).You must be able to invoke the tesseract command as tesseract. If thisisn’t the case, for example because tesseract isn’t in your PATH, you willhave to change the “tesseract_cmd” variable pytesseract.pytesseract.tesseract_cmd.Under Debian/Ubuntu you can use the package tesseract-ocr.For Mac OS users. please install homebrew package tesseract.
Note: Make sure that you also have installed tessconfigs and configs from tesseract-ocr/tessconfigs or via the OS package manager.
Check the pytesseract package page for more information.
TESTING
To run this project’s test suite, install and run tox. Ensure that you have tesseractinstalled and in your PATH.
LICENSE
Check the LICENSE file included in the Python-tesseract repository/distribution.As of Python-tesseract 0.3.1 the license is Apache License Version 2.0
CONTRIBUTORS
- Originally written by Samuel Hoffstaetter
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