infocus.py

# -*- coding: utf-8 -*-
"""Metadata_Extraction.ipynb

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/drive/1W5rAU5kYgk923jxA40_RLYdgmrsikyh_
"""

# Image Metadata Extractor
# !pip install pikepdf
# !pip install pypdf
# !pip install PyPDF2

import pikepdf
from PyPDF2 import PdfReader

def Extract_MetaData(path):
  pdf = pikepdf.Pdf.open(path)
  docinfo = pdf.docinfo
  for key, value in docinfo.items():
    print((key, ":", value))

  #Keyword Extraction
  if '/Keywords' in docinfo:
    print("\n")
    print('The keywords in this pdf are: ' + pdf_info['/Keywords'])

from PyPDF2 import PdfFileReader
# mypath = r'/usr/src/Tax_and_legal_form.pdf'
mypath = r'c:/Users/mukes/Downloads/SmartDoc/Tax_and_legal_form.pdf'
pdf_toread = PdfReader(open(mypath, 'rb'))
pdf_info = pdf_toread.metadata
print(pdf_info)

if __name__ == "__main__":
    #main function
    #Test case 1:
    # path = r'/usr/src/Tax_and_legal_form.pdf'
    path = r'c:/Users/mukes/Downloads/SmartDoc/Tax_and_legal_form.pdf'
    # print(Extract_MetaData(path))

text_file = open("Output.txt", "w")
text_file.write(str(Extract_MetaData(path)))
text_file.close()