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  1. Mar 6, 2023 · This tutorial will explain how to extract data from PDF files using Python. You'll learn how to install the necessary libraries and I'll provide examples of how to do so. There are several Python libraries you can use to read and extract data from PDF files. These include PDFMiner, PyPDF2, PDFQuery and PyMuPDF.

  2. Feb 20, 2020 · Learn how to read, edit & merge PDF & word document files in Python. Follow our step by step code examples with pypdf2 & python-docx packages today!

  3. Sep 30, 2024 · Document processing is one of the most common use cases for the Python programming language. This allows the language to process many files, such as database files, multimedia files and encrypted files, to name a few. This article will teach you how to read a particular page from a PDF (Portable Document Format) file in Python. Method 1: Using Pymu

  4. I recommend using the following code if you need to open and read a lot of pdf files - the text of all pdf files in folder with relative path .//pdfs// will be stored in list pdf_text_list. from tika import parser. import glob. def read_pdf(filename): text = parser.from_file(filename) return(text)

  5. Aug 9, 2024 · Extracting specific text from a PDF in Python can be accomplished using libraries like PyPDF2, pdfplumber, or PyMuPDF. These libraries allow you to read and manipulate PDF files, extracting not only the text but also other data like metadata, images, and more.

  6. Aug 16, 2022 · The best library for working with PDFs in Python is PyPDF2. It’s lightweight, fast, and well-documented. The library is available on the Python Package Index (PyPI). If you need to create a PDF file from scratch, you’ll want to use PyPDF2 because it has robust support for creating new documents.

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  8. In this step-by-step tutorial, you'll learn how to work with a PDF in Python. You'll see how to extract metadata from preexisting PDFs . You'll also learn how to merge, split, watermark, and rotate pages in PDFs using Python and PyPDF2.