#Pdfextractor python slate pdf#
Instead of looking at PDF document as a monolith, it should be looked at as a collection of objects. We will then jump right into the examples to extract data from each of the 2 types of PDF forms. I will briefly discuss the 2 types of PDF forms that are widely used. We will take a quick look at the structure of PDF files as it will help us to better understand the programmatic basis of extracting data from PDF forms. Once you have installed PyPDF2, you should be all set to follow along. You can use pip to install this library by executing the code below. Being Pure-Python, it can run on any Python platform without any dependencies or external libraries. PyPDF2 is a Pure-Python library built as a PDF toolkit. I will be using PyPDF2 for the purpose of this article. There are several Python libraries dedicated to working with PDF documents, some more popular than the others. My objective to write this article is to develop such a guide. While there is a good body of work available to describe simple text extraction from PDF documents, I struggled to find a comprehensive guide to extract data from PDF forms. I work for a financial institution and recently came across a situation where we had to extract data from a large volume of PDF forms. As a result, there is a large body of unstructured data that exists in PDF format and to extract and analyse this data to generate meaningful insights is a common task among data scientists. It is widely used across enterprises, in government offices, healthcare and other industries.
PDF or Portable Document File format is one of the most common file formats in use today. Photo by Leon Dewiwje on Unsplash Introduction
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