![]() ![]() ![]() Please note that the commands above download all dependencies (including Python and Ghostscript) as well. To do that, specify the pathname (including the directory name) in the command-line. It’s possible to optimize a PDF outside the current directory. Pdfsizeopt creates lots of temporary files (psotmp.*) in the output directory, but it also cleans up after itself. Then after reading each page it attaches the watermark to each page and saves the new file in the same location.~/pdfsizeopt/pdfsizeopt -use-pngout=no input.pdf output.pdf The above code reads two files- the input file and the watermark. Watermarkedfile = r"C:UsersDellDesktopTesting Tesseractwatermarkedfile.pdf" Watermark = r"C:UsersDellDesktopTesting Tesseractwatermark.pdf" originalfile = r"C:UsersDellDesktopTesting Tesseractexample.pdf" To add a watermark to each page of the PDF, copy the following code and run. It can be a company logo or any strong information to be reflected on each page. Pdfwrite.encrypt(user_pwd=password, owner_pwd=None,Ī watermark is an identifying image or pattern that appears on each page. We can use the following code for the same: for page in range(pdf.getNumPages()): Information like the author of the document, title, producer, Subject, etc is available directly. This can be useful information about the PDF files. PyPDF2 provides metadata about the PDF document. To install PyPDF2, copy the following commands in the command prompt and run: pip install PyPDF2 It is a pure python library so it can run on any platform without any platform-related dependencies on any external libraries. We will use the PyPDF2 library in this tutorial. PyPDF2: It is a python library used for performing major tasks on PDF files such as extracting the document-specific information, merging the PDF files, splitting the pages of a PDF file, adding watermarks to a file, encrypting and decrypting the PDF files, etc. Slate: It is a Python package based on the PDFMiner and used for extraction of text from PDF.ħ. pdflib: It is an extension of the poppler library with python bindings present in it.Ħ. Xpdf: It allows conversion of PDFs into text.ĥ. It converts PDF files into Pandas’ data frame and further all data manipulation operations can be performed on the data frame.Ĥ. Tabula.py: It is a python wrapper for tabula.java. It is a fast, user-friendly PDF scraping library.ģ. PDFQuery: It is a lightweight python wrapper around PDFMiner, Ixml, and PyQuery. It can also be used as a PDF transformer or PDF parser.Ģ. It is used for performing analysis on the data. PDFMiner: It is an open-source tool for extracting text from PDF. There are many libraries available freely for working with PDFs:ġ. How to extract document information from a PDF file.In this tutorial, we will learn how to work with PDF files in Python. It is now an open standard by International Organization for Standardization ( ISO). Hence, they are the most widely used format. They look similar on any device they are opened independent of the hardware, software, and operating system. ![]() They are meant for reading and not editing. Hence they can be easily shared and downloaded. They cannot be modified, thereby preserving the formatting of the file intact. This type of file is mostly used for sharing purposes. PDF stands for Portable Document Format. It uses.pdf extension. This article was published as a part of the Data Science Blogathon Introduction ![]()
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