How to Install and Uninstall python2-pytesseract Package on openSUSE Leap

Last updated: July 07,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "python2-pytesseract" package

Learn how to install python2-pytesseract on openSUSE Leap


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python2-pytesseract
            
                    
    
    Copied

2. Uninstall "python2-pytesseract" package

Learn how to uninstall python2-pytesseract on openSUSE Leap:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python2-pytesseract
            
                    
    
    Copied

3. Information about the python2-pytesseract package on openSUSE Leap

Information for package python2-pytesseract:
--------------------------------------------
Repository : Main Repository
Name : python2-pytesseract
Version : 0.3.0-bp153.1.19
Arch : noarch
Vendor : openSUSE
Installed Size : 82,4 KiB
Installed : No
Status : not installed
Source package : python-pytesseract-0.3.0-bp153.1.19.src
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.