Then we open the file in read-only binary mode. The first thing we do is create our own get_info function that accepts a PDF file path as its only argument. This class gives us the ability to read a PDF and extract data from it using various accessor methods. Here we import the PdfFileReader class from PyPDF2. The sample I downloaded was called “reportlab-sample.pdf”. Let’s find out how by downloading the sample of this book from Leanpub at. For example, you can learn the author of the document, its title and subject and how many pages there are. You can use PyPDF2 to extract a fair amount of useful data from any PDF. Now that we have PyPDF2 installed, let’s learn how to get metadata from a PDF! Extracting Metadata The preferred way to do so is to use pip. PyPDF2 doesn’t come as a part of the Python Standard Library, so you will need to install it yourself. In this article we will learn how to extract basic information about a PDF using PyPDF2 Getting Started It’s kind of a Swiss-army knife for existing PDFs. You can use it to extract metadata, rotate pages, split or merge PDFs and more. There are lots of PDF related packages for Python.
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