I am going to extract all texts from page1. # importing required modules import PyPDF2 #Now give the pdf name pdfFileObj = open('gst-revenue-collection-march2020.pdf', 'rb') pdfReader = PyPDF2.PdfFileReader(pdfFileObj) print(pdfReader.numPages) # will give total number of pages in pdf Once you have installed PYPDF2 library we are all set to go. There are many libraries we have in python that can be used in extracting texts from PDFs, in this tutorial i will be using PYPDF2.įor installation run below commands : pip install PyPDF2 There can be many ways to play around and extract required information from pdf, In this tutorial i am going to explain how we can extract texts from PDFs first and then how can we gather required information so that we can save our time.We can do that by setting keywords and then we can focus on those sentences that have our keywords. The major challenge we face to extract desired data from these unstructured data. As a result, there is a large unstructured data that exists in PDF format.
It is widely used across every industry such as in government offices, healthcare, and even in personal work. PDF or Portable Document File format is one of the most common file formats in today’s time.
You can open your PDF file with your browsers such as Google Chrome, Safari, Opera, Firefox, you name it. In the left pane you can see the number of results found in the corresponding files, and in the right pane, the text containing the searched words. Use the arrows at the bottom to navigate in the results.
HOW TO FIND WORD IN PDF FILE HOW TO
Photo by Kaleidico on Unsplash Introduction How to count words in PDF with your browser. Type your search terms in the 'Search' box and click the 'Find' button.