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PDFs (Portable Document Format) are widely used for sharing and presenting documents. In Python, the PyPDF2 library provides a convenient way to work with PDF files. In this tutorial, we'll explore how to use PyPDF2 to read and extract information from PDF documents.
Before we begin, make sure you have PyPDF2 installed. If you don't have it installed, you can install it using pip:
Let's start by opening a PDF file and extracting text from it. Create a new Python script or Jupyter Notebook and follow along:
This simple example reads a PDF file and prints the extracted text. Note that the text extraction might not be perfect, especially for complex PDFs with images and non-standard fonts.
In many cases, you might be interested in extracting specific information, such as metadata, headings, or certain keywords. Let's modify our script to extract the metadata and the text of each page:
This script prints the document metadata and the text of each page.
Using the PyPDF2 library, you can easily read and extract information from PDF files in Python. Keep in mind that PDFs can vary in complexity, so text extraction may not always be perfect. For more advanced tasks
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