This course will walk you through the most common scenarios for manipulating PDF Files using the Python programming language.

PDF Management Using Python_468 x 60 copy.png

mypdftoolbox.tar.gz

pdf_compare

pdf_did_metadata

pdf_xmp_metadata

pdf_compute_checksum

pdf_merger

pdf_pages_splitter

pdf_pages_rotator

pdf_pages_remover

pdf_pages_shuffler

pdf_pages_watermarker

pdf_convert2img

pdf_extract_tables

pdf_extract_images

pdf_extract_links

pdf_annotator

pdf_redactor

pdf_parser

pdf_convert2docx

pdf_convert2pptx

pdf_compress

pdf_secure

pdf_crack

pdf_create

pdf_sign

pdf_scan

pdf_comment

pdf_compare_files

pdf_attach

pdf_extract_attachments

pdf_embed_js

pdf_change_rights

This course will provide you with hands-on experience in PDF manipulation using the Python programming language. It integrates the most common real-life scenarios into its proceedings and supplies you with a framework of "how to do it". 

This course is addressed to Python programmers who seek to broaden their knowledge in the Python programming language. Moreover, it targets those who are eager to gain in-depth experience in handling and processing PDF files which constitute a large part of our day-to-day lives.

PDF Management in Python

## Introduction ##

The PDF file format encloses disparate types of content which includes text, images, and other multimedia elements.

Parsing a PDF document and extracting images from it is not a straightforward task, but Python will help us to accomplish this. 

## How images are stored in a PDF file ##

Generally, an image is stored in a PDF file as a separate object called `XObject`. This object contains the image raw binary data, including its pixels, color-space, and other related information.

It is worth mentioning that the storage of images in a PDF file may change depending on the PDF creation tools.

The following figure shows the image objects included within the cross-reference table of a sample PDF file:

# Introduction ##

The PDF file format encloses disparate types of content which includes text, images, and other multimedia elements.

Parsing a PDF document and extracting images from it is not a straightforward task, but Python will help us to accomplish this. 

# How images are stored in a PDF file ##

Generally, an image is stored in a PDF file as a separate object called `XObject`. This object contains the image raw binary data, including its pixels, color-space, and other related information.

It is worth mentioning that the storage of images in a PDF file may change depending on the PDF creation tools.

The following figure shows the image objects included within the cross-reference table of a sample PDF file:

Learn how to extract the images from a PDF document, while exploiting PyMuPDF and Pillow libraries.

How to Extract Images from PDF

Introduction

PDF Management Core Functions

Pages Processing

Content Processing

Document Processing

Conclusion

Appendices

How to Extract Images from PDF

Introduction

How images are stored in a PDF file