How to Install and Uninstall ocrmypdf Package on Kali Linux

Last updated: December 24,2024

1. Install "ocrmypdf" package

Please follow the instructions below to install ocrmypdf on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                ocrmypdf
            
                    
    
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2. Uninstall "ocrmypdf" package

Please follow the steps below to uninstall ocrmypdf on Kali Linux:


    
        
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                sudo apt remove
            
                        
                ocrmypdf
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the ocrmypdf package on Kali Linux

Package: ocrmypdf
Version: 15.2.0+dfsg1-1
Installed-Size: 596
Maintainer: Debian Python Team
Architecture: all
Depends: ghostscript (>= 9.18~dfsg~), icc-profiles-free, python3-pdfminer (>= 20181108+dfsg-3), python3-pil, python3-pkg-resources, python3-reportlab, python3-pikepdf (>= 5.0.1), python3-pluggy, python3-coloredlogs, python3-hypothesis, tesseract-ocr (>= 4.0.0), zlib1g, python3-deprecation, python3-img2pdf (>= 0.3.0), python3-packaging, python3-rich, python3-typing-extensions | python3-supported-min (>= 3.10), python3:any
Recommends: unpaper, pngquant, jbig2dec
Suggests: ocrmypdf-doc, python-watchdog, img2pdf
Size: 160360
SHA256: 3f134fa84e04d9053d3bb581b6af0054608aa0c79029691f3632e6668f0d0230
SHA1: 512d4a40b101ca02342499cf795cdfc8cff197ea
MD5sum: 0e6bed5aa974b37eeee2f1262e74e37b
Description: add an OCR text layer to PDF files
OCRmyPDF generates a searchable PDF/A file from a regular PDF
containing only images, allowing it to be searched.
.
It uses the Tesseract OCR engine and so supports all the languages
that Tesseract does.
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Some other main features:
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* Places OCR text accurately below the image to ease copy / paste
* Keeps the exact resolution of the original embedded images
* When possible, inserts OCR information as a lossless operation
without rendering vector information
* Keeps file size about the same
* If requested deskews and/or cleans the image before performing OCR
* Validates input and output files
* Provides debug mode to enable easy verification of the OCR results
* Processes pages in parallel when more than one CPU core is
available
* Battle-tested on thousands of PDFs, a test suite and continuous
integration.
Description-md5:
Homepage: https://github.com/jbarlow83/OCRmyPDF
Section: graphics
Priority: optional
Filename: pool/main/o/ocrmypdf/ocrmypdf_15.2.0+dfsg1-1_all.deb