X, y, text = lobj.bbox, lobj.bbox, lobj.get_text() Interpreter = PDFPageInterpreter(rsrcmgr, device) I could see using PyPDF on a folder of PDFs and using the metadata extraction technique to sort out the PDFs by creator name, subject, etc.Here's a copy-and-paste-ready example that lists the top-left corners of every block of text in a PDF, and which I think should work for any PDF that doesn't include "Form XObjects" that have text in them: from pdfminer.layout import LAParams, LTTextBoxįrom pdfminer.pdfinterp import PDFResourceManagerįrom pdfminer.pdfinterp import PDFPageInterpreterįrom nverter import PDFPageAggregatorĭevice = PDFPageAggregator(rsrcmgr, laparams=laparams) We were able to get some helpful information from PDFs using it. You may find that the pdfminer package works better for extracting text than PyPDF2 though. I won't reproduce the output here as it is kind of lengthy though. If you use that PDF instead of the sample one, it will happily extract some of the text from page 2. Anyway, I downloaded it as w9.pdf and added it to the Github repository as well. This is a W9 form for people who are self-employed or contract employees. I found one on the United States Internal Revenue Service website here: To get this example code to work, you will need to try running it against a different PDF. Even if it is able to extract text, it may not be in the order you expect and the spacing may be different as well. Unfortunately, PyPDF2 has pretty limited support for extracting text. Instead all I got was a series of line break characters. Interestingly, if you run this example you will find that it doesn't return any text. The first page in this case is just an image, so it wouldn't have any text. PyPDF2 is zero-based, much like most things in Python, so when you pass it a one, it actually grabs the second page. But this time, we grab a page using the getPage method. We still need to create an instance of PdfFileReader. You will note that this code starts out in much the same way as our previous example. Print('Page type: '.format(str(type(page)))) Let's try to extract the text from the first page of the PDF that we downloaded in the previous section: I have seen some recipes on StackOverflow that use PyPDF2 to extract images, but the code examples seem to be pretty hit or miss. It doesn't have built-in support for extracting images, unfortunately. PyPDF2 has limited support for extracting text from PDFs. We can also get the number of pages in the PDF by calling the getNumPages method. '/Title': 'ReportLab - PDF Processing with Python'} '/Creator': 'LaTeX with hyperref package', If you print out the DocumentInformation object, this is what you will see: This will return an instance of, which has the following useful attributes, among others: Now we can extract some information from the PDF by using the getDocumentInfo method. Next we pass that file handler into PdfFileReader and create an instance of it. Then we open the file in read-only binary mode. The first thing we do is create our own get_info function that accepts a PDF file path as its only argument. This class gives us the ability to read a PDF and extract data from it using various accessor methods. Here we import the PdfFileReader class from PyPDF2. The sample I downloaded was called "reportlab-sample.pdf". Let's find out how by downloading the sample of this book from Leanpub at. For example, you can learn the author of the document, its title and subject and how many pages there are. You can use PyPDF2 to extract a fair amount of useful data from any PDF. Now that we have PyPDF2 installed, let's learn how to get metadata from a PDF! Extracting Metadata The preferred way to do so is to use pip. PyPDF2 doesn't come as a part of the Python Standard Library, so you will need to install it yourself. In this article we will learn how to extract basic information about a PDF using PyPDF2 Getting Started It's kind of a Swiss-army knife for existing PDFs. You can use it to extract metadata, rotate pages, split or merge PDFs and more. There are lots of PDF related packages for Python.
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