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PDFs are the graphical representations of information. PDFs are composed of different contents like: Texts, Images, Tables, Forms, etc. Thus, on the basis of easiness and reliability, we will discuss various libraries that are used to manipulate PDF files in this tutorial. There are several cases where one library is better than other in different aspects when it comes to manipulating the PDF files. PDFMiner was specially developed to extract texts from PDF files. However, when it comes to extracting texts, PDFMiner is much more accurate and reliable. It is easy to use and it has a lot of features.
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PyPDF2 is the most widely preferred Python module while working with PDFs. While there are several libraries that are used to perform various functional operations with PDFs in Python, we will only cover the usage of a few libraries like PDFMiner, PyPDF2, PyMuPDF, reportlab etc in this chapter. Some popular libraries that are used oftenly while working with PDFs are: Python provides a pool of libraries that are used to manipulate a PDF file. Here, we will be performing some serious stuff like: Extracting and Adding Pages, Texts, Images, Tables, Watermark and much more on a PDF file using Python. This file format was developed by Adobe in 1993 to present documents, including formatted texts and images in a manner that is independent of applications, software, hardware and operating systems.
#Scam an pdf python portable#
PDFs or the Portable Document Format is a file format of a document consisting of texts, images, tables, etc which are generally used when we need to save files that cannot be further modified or be easily shared or printed. In this tutorial, we will be working on PDFs using Python. Thus, this language is mostly preferred among developers and engineers. Python has a reach in various fields like Machine Learning, Cybersecurity, Web Development, Application Development etc. It is a high level language with simple syntax. Python is a highly versatile language with a huge set of libraries.