How to Install and Uninstall python310-pytesseract Package on openSuSE Tumbleweed

Last updated: July 03,2024

1. Install "python310-pytesseract" package

This tutorial shows how to install python310-pytesseract on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python310-pytesseract
            
                    
    
    Copied

2. Uninstall "python310-pytesseract" package

Learn how to uninstall python310-pytesseract on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python310-pytesseract
            
                    
    
    Copied

3. Information about the python310-pytesseract package on openSuSE Tumbleweed

Information for package python310-pytesseract:
----------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-pytesseract
Version : 0.3.13-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 84.5 KiB
Installed : No
Status : not installed
Source package : python-pytesseract-0.3.13-1.2.src
Upstream URL : https://github.com/madmaze/python-tesseract
Summary : Python wrapper for Google's Tesseract-OCR
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 can be used
as a stand-alone invocation script to tesseract, as it can read all image types
supported by the Python Imaging Library, including JPEG, PNG, GIF, BMP, TIFF,
and others, whereas tesseract-ocr, by default, only supports TIFF and BMP.
Additionally, if used as a script, python-tesseract will print the recognized
text instead of writing it to a file. There is no support for confidence estimates and
bounding box data is planned for future releases.