Practical Python PDF Processing EBook

Practical Python PDF Processing EBook

Practical Python PDF Processing: A Hands-on Guide to Building PDF Manipulation Tools is a practical guide that enables developers to unlock Python's full potential in manipulating and processing PDFs. This book covers essential tasks like reading, splitting, merging, deleting pages, rotating, data extraction, and advanced techniques such as PDF conversion, security, and compression. It's a must-read for anyone keen to master PDF manipulation using Python.

This intensely practical guide walks you through a galaxy of Python tools and libraries that empower you to interact with PDFs like never before.

The book provides a step-by-step roadmap for dealing with the most common PDF processing tasks. You'll start your journey by getting your hands dirty with reading, splitting, merging, deleting pages, and rotating PDFs using the versatile PyMuPDF library. Then, you'll dive deep into extracting everything from images, text from images, tables, links, and metadata, employing a range of powerful tools like PyMuPDF, Camelot, Tabula-Py, and PDFPlumber.

The journey doesn't stop there. You'll master the art of creating customized PDFs with ReportLab, making styled paragraphs, and adding and styling tables, images, charts, pagination, headers, footers, and a variety of text formats. And, if that wasn't enough, you'll also explore various conversion techniques, flipping between HTML, Markdown, Docx, and Images with ease and precision.

But this book is not just about the basics. It also ventures into advanced territory, teaching you how to secure your PDFs with encryption, watermarking, and even password restoration. For those looking to push the boundaries further, there are two insightful appendices on compressing PDFs and summarizing PDFs with the ChatGPT API.

Here's what you'll get:

  • Reading everywhere: PDF, no DRM.
  • Tons of Programs to Build: You'll get access to a downloadable link of 40+ Python (.py) code files counting 1500+ lines of code!

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You'll learn to build the following programs:

  1. Chapter 1 - Introduction to PDF Processing in Python (Download for free here): In our initial chapter, we focus on the foundations of PDF processing using the PyMuPDF library. Here, we delve into reading PDF documents, navigating through them, and extracting their text. Furthermore, we built our first set of practical tools: a PDF splitter and a merger. These utilities allow you to break down a PDF into individual pages or groupings, or combine several PDFs into one, respectively. After that, we made a tool that deletes specific pages from a document and another for rotating them.
  2. Chapter 2 - Extracting Data from PDF Files: In the second chapter, we dive into the extraction of different types of data from PDF files. We use PyMuPDF to extract images and even pull text from those images. Also, we make a tool that highlights, redacts, or underlines specific words in the document. After that, we leverage libraries like Camelot, Tabula-Py, and PDFPlumber to pull tables from PDFs. Finally, we examine how to extract metadata and hyperlinks from PDFs, creating a suite of data extraction tools.
  3. Chapter 3 - Creating PDF Files: Chapter 3 is all about creating PDFs from scratch. We learn to use the ReportLab library to create basic PDFs and gradually add more advanced features. This includes adding text with different styles, creating titles and paragraphs, bullet points, tables, invoices, images, pagination, headers, footers, and even charts and graphs. By the end of this chapter, you'll have a toolbox for creating a wide variety of PDF documents.
  4. Chapter 4 - PDF Conversion Techniques: In this chapter, we explore how to convert various formats to and from PDF. We use PDFKit to transform HTML and Markdown into PDF files, pdf2docx to convert PDFs into Docx format, and PyMuPDF to render PDF pages into images. Through this chapter, you'll create a versatile converter tool to handle your PDF conversion needs.
  5. Chapter 5: Securing PDFs: Security is a critical aspect of handling PDFs. Here, we explore encryption, decryption, and password restoration for PDFs using PyMuPDF. We also built a tool for adding watermarks to PDF documents using PyPDF and ReportLab. This chapter helps you create a set of tools to keep your PDFs secure and professional.
  6. Appendix A - Compressing PDF Files: As a first appendix, we’ll focus on compressing PDF files. While not part of the main chapters, this useful utility can help manage your PDF files, especially when working with large documents.
  7. Appendix B - Summarizing PDF Files: As a second appendix, we’ll build an interesting tool that extracts text from PDF documents, and performs text summarization using the powerful ChatGPT API.

This EBook is for:

  • Python programmers who are interested in building PDF manipulation tools.
  • Python beginners who seek to expand their knowledge in Python and utilize different libraries for handling PDF documents.

If you don't have experience with Python, then I highly recommend you take an online course, a Python book, or even a quick YouTube playlist before buying the EBook, and you're good to go! You can check this page to see our recommended Python courses. You only need basic knowledge of the language.

We'll constantly update the EBook; you'll have free access to future versions if you purchase now!

Still not convinced? To see it by yourself, click here to get a free chapter from the book.

We're confident that you'll find the information in this EBook to be valuable and useful. However, if for any reason you're not satisfied with your purchase, we offer a 15-day money-back guarantee. Contact us within 15 days of your purchase, and we'll fully refund your money. No questions asked.

Whether you're a beginner or an advanced Python programmer, this eBook will provide you with the knowledge and skills you need to build sophisticated PDF manipulation tools. Don't miss out on this opportunity to take your Python skills to the next level and become an expert in PDF document handling. Get your copy now and start building your own tools today!

Don't forget to use the PYTHONCODER discount code to get a 10% off.

BUY FOR $19

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Table of Content:
Chapter 1: Introduction to PDF Processing in Python
    Reading PDF Files
        Getting Started
        Installation of PyMuPDF
        Opening a PDF File
        Navigating the Document
        Loading a Page
        Extracting Text from a Page
        Reading Multiple Pages
        Wrapping up the Code
    Splitting PDF Files
        Getting Started
        Splitting by Individual Pages
        Splitting by Arbitrary Page Groups
        Splitting by Page Ranges
        Conclusion
    Merging PDF Files
        Getting Started
        Parsing the Command-line Arguments
        Performing the Merge
        Running the Code
    Deleting Pages from PDF Files
        Getting Started
        Writing the Code
        Explaining the Code
        Running the Code
        Conclusion
    Rotating PDF Files
        Getting Started
        Writing the Code
        Code Explanation
        Running the Code
        Wrapping Up
Chapter 2: Extracting Data from PDF Files
    Extracting Images from PDF Files
        Getting Started
        Opening the PDF File
        Extracting the Images
        Saving the Images
        Final Words
    Extracting Text from Images in PDF Files
        Getting Started
        Performing the Extraction
        Running the Code
        Conclusion
    Highlighting and Redacting Keywords in PDF Files
        Getting Started
        Writing Down the Code
        Running the Code
        Conclusion
    Extracting PDF Tables
        Using Camelot
        Using Tabula
        Using PDFPlumber
        Final Words
    Extracting PDF Metadata
        Getting Started
        Parsing the Dates in the Metadata
        Running the Code
    Extracting PDF Links
        Getting Started
        Extracting the Links
        Running the Code
        Conclusion
    Chapter Wrap Up
Chapter 3: Creating PDF Files
    Prerequisites
    Creating a Basic PDF
    Adding Text with Different Styles
    Creating Titles and Paragraphs
    Adding Bullet Points
    Creating Tables 
        Styling Tables
        Generating Invoices
    Adding Images
    Adding Charts and Graphs
    Adding Pagination, Headers, and Footers
    Conclusion
Chapter 4: PDF Conversion Techniques
    Converting HTML to PDF
        Installing PDFKit and wkhtmltopdf
        Converting Online Webpages to PDF
        Converting Local HTML File to PDF
        Converting HTML String to PDF
        Conclusion
    Converting Markdown to PDF
        Getting Started
        Writing the Code
        Running the Code
        Conclusion
    Converting PDF to Docx
        Getting Started
        Performing the Conversion
        Running the Code
        Conclusion
    Converting PDF to Images
        Getting Started
        Rendering the Images
        Exploring the get_pixmap() Method
        Making an Advanced PDF to Image Converter
        Running the Code
        Conclusion
    Chapter Wrap Up
Chapter 5: Securing PDFs
    Encrypting and Decrypting PDF Files
        PDF Encryption
        PDF Decryption
        Conclusion
    Restoring PDF Passwords
        Performing the Brute-force
        Writing the Main Code
        Running the Code
        Conclusion
    Adding Watermark to PDFs
        Getting Started
        Removing Transparency from Images
        Create a Watermark PDF from an Image
        Create a Watermark PDF from Text
        Combining the PDFs
        Running the Code
        Conclusion
    Chapter Wrap Up
Final Words
Appendix A: Compressing PDF Files
    Getting Started
    Performing the Compression
    Running the Code
    Conclusion
Appendix B: Summarizing PDFs with ChatGPT API
    Introduction
    Getting Started with OpenAI API

    Writing the Code
    Running the Code
    Conclusion

   Last Updated: feb 2024