To run this:

• pip3 install -r requirements.txt

• $ python pdf_ocr.py --help
  

  Output:

  usage: pdf_ocr.py [-h] -i INPUT_PATH [-a {Highlight,Redact}] [-s SEARCH_STR] [-p PAGES] [-g]
  
  Available Options
  
  optional arguments:
  -h, --help            show this help message and exit
  -i INPUT_PATH, --input-path INPUT_PATH
                          Enter the path of the file or the folder to process
  -a {Highlight,Redact}, --action {Highlight,Redact}
                          Choose to highlight or to redact
  -s SEARCH_STR, --search-str SEARCH_STR
                          Enter a valid search string
  -p PAGES, --pages PAGES
                          Enter the pages to consider in the PDF file, e.g. (0,1)
  -g, --generate-output
                          Generate text content in a CSV file
  

• To extract text from scanned image in image.pdf file:

  $ python pdf_ocr.py -s "BERT" -i image.pdf -o output.pdf --generate-output -a Highlight
  

  Passing -s to search for the keyword, -i is to pass the input file, -o is to pass output PDF file, --generate-output or -g to generate CSV file containing all extract text from all images in the PDF file, and -a for specifiying the action to perform in the output PDF file, "Highlight" will highlight the target keyword, you can also pass "Redact" to redact the text instead.