PyPDF2: It is one of the best-known python libraries that enable you to perform tasks on PDFs, including merging PDF files, extracting document information, splitting PDF pages, and much more. This development library contains several levels for creating, personalizing, and importing PDFs. Pdflib: PDFlib is a library for creating PDFs in python. You can use PDFMiner to perform analysis on data. PDFMiner: It is an open-source PDF library used to extract text from PDF. Slate is a lightweight annotation tool that supports annotation in Python. Slate: It is used to extract text from PDF files, depending on the PDFMiner package. Tabula.py enables you to read tables and can be converted into Pandas DataFrame. Tabula.py: It is a Python wrapper around tabula-java used to read tables in PDF. PDFQuery: PDFQuery is a PDF scraping library, and it is a fast and user-friendly python wrapper for PyQuery, PDFMiner, and XML. Here are some common Python PDF libraries: PyPDF2 isn’t the only python library you can use for PDF ocr using python. Extract text from PDF file using PyPDF2.Here in this blog, we will see how you can use the python library, PyPDF2 to work with PDF files and perform the following tasks: This shows the enormous amount of data stored within these file types, which are generally difficult to edit or modify. PDF is the most widely used document format, with over 73 million new PDF files saved every day on Gmail & Drive.
PDF is the most extensively used digital format, and the International Standards Organization (ISO) maintains it as an open standard. It can be an ebook, digitally signed agreements, password-protected documents, or scanned documents like passports. The most popular file type is Portable Document Format, also known as PDF.
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