PDF Manipulation Toolkit using PyPDF2

This repository provides a powerful Python-based toolkit for manipulating PDF files using the PyPDF2 library. It includes functionalities for merging multiple PDFs, reading and writing PDF metadata, extracting images from PDF pages, encrypting/decrypting PDFs, and reading text from specific pages. The toolkit is designed to simplify and automate PDF-related tasks.

Features

• Merge PDFs:
    Combine multiple PDF files into a single PDF document.
  
  
• Read PDF Metadata:
    Retrieve important information such as the author, title, subject, and creator of a PDF.
  
  
• Write PDF Metadata:
    Add or modify metadata fields like author, title, subject, etc., in a PDF file.
  
  
• Extract Images:
    Extract images embedded in specific pages of a PDF document.
  
  
• Encrypt/Decrypt PDFs:
    Secure PDFs by adding password protection or decrypt encrypted PDFs.
  
  
• Read PDF Content:
    Extract and display text content from specified pages of a PDF.

Prerequisites

• Python 3.x
• Install PyPDF2 library: "pip install pypdf2"

Usage

1- Clone the repository to your local machine: "git clone https://github.com/Bilal-khan-1604/Python-PDF-Manipulaton-Toolkit-PyPDF2.git"

2- Import the MyPdfHandler class and use its methods for your PDF operations:
  """from MyPdfHandler import MyPdfHandler
   # Initialize with a PDF path
   pdf = MyPdfHandler(r"path\to\file.pdf")
   # Merge multiple PDFs into one
   pdf.MergePdf(r"path\to\file2.pdf", r"path\to\file3.pdf")
   # Read metadata from the PDF
   pdf.ReadPdfMetadata()
   # Encrypt the PDF
   pdf.EncryptPdf("password")"""

Examples

1-Merging PDFs:

pdf = MyPdfHandler(r"path\to\file1.pdf")
pdf.MergePdf(r"path\to\file2.pdf", r"path\to\file3.pdf")

2-Reading PDF Metadata:

pdf = MyPdfHandler(r"path\to\file.pdf")
pdf.ReadPdfMetadata()

3-Encrypting a PDF:

pdf = MyPdfHandler(r"path\to\file.pdf")
pdf.EncryptPdf("securepassword")

Future Enhancements

• Split PDFs into smaller files.
• Add watermarks to PDF pages.
• Rotate and crop pages.
• More robust image extraction