How to Install and Uninstall python311-pytesseract Package on openSuSE Tumbleweed

Last updated: December 26,2024

1. Install "python311-pytesseract" package

In this section, we are going to explain the necessary steps to install python311-pytesseract on openSuSE Tumbleweed


    
        
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                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python311-pytesseract
            
                    
    
    Copied

2. Uninstall "python311-pytesseract" package

In this section, we are going to explain the necessary steps to uninstall python311-pytesseract on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python311-pytesseract
            
                    
    
    Copied

3. Information about the python311-pytesseract package on openSuSE Tumbleweed

Information for package python311-pytesseract:
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Repository : openSUSE-Tumbleweed-Oss
Name : python311-pytesseract
Version : 0.3.13-1.2
Arch : noarch
Vendor : openSUSE
Installed Size : 112.8 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.