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How to Extract PDF Files Into Structured Data

PDF has become a popular digital substitute for paper in today’s working world and includes all sorts of relevant business figures. However, what are the options for extract PDF data? Manually retrieving PDF data is always the first thought, but it fails for many reasons most of the time. In this article, we speak about PDF (PDF Parser) solutions and how manual entry in your workflow can be eliminated.

The Portable Document Format ( PDF) has seen massive adoption rates since the first release of PDF at the beginning of the 1990s and was all too omnivorous in our work environment. PDF files are the solution for the internally and with trading partners to share business data. In fields like the supply chains, procurement, and business management, some common use cases for PDF documents are:

  • Invoices
  • Shopping Notes
  • HR Forms
  • Report
  • Presentation
  • Price List and etc

There are many reasons why it can be challenging to extract data from PDF, including technical problems and handy workflow obstacles. Initially, a lot of PDF files have been downloaded. Although these documents are easily understandable to humans, the computers can not understand the scanned picture text without first applying a method called OCR.

When the documents have been transferred through an OCR PDF scan, it is possible to copy and paste parts of the text manually and actually contain text data and not just images. This is obviously a tedious method, susceptible to error, not scalable. It takes way too much time to open each pdf document, find the text for which you are searching, then pick the text and copy it to another file.

And how to extract data from a PDF?

Automatic PDF data extraction solutions come in a variety of ways, from simple OCR tools to company-ready document processing and workflow automation platforms.

Most of the sophisticated solutions use a combination of different techniques to train the data extraction system. Zapbot software which is very easy to use where the user only determines a specific location in the document with a point & click system. More advanced techniques are based on regular expressions and pattern recognition in other types of tools.

Automation software to get info from documents

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