Extract Data From PDF: How to Convert PDF Files Into Structured Data

PDF is here to stay. In today’s work environment, PDF became ubiquitous as a digital replacement for paper and holds all kind of important business data. But what are the options if you want to extract data from PDF documents? Manually rekeying PDF data is often the first reflex but fails most of the time for a variety of reasons. In this article we talk about PDF data extraction solutions and how to eliminate manual data entry from your workflow.

The case for extracting data from PDF documents

Since PDF was first introduced in the early 90’s, the Portable Document Format (PDF) saw tremendous adoption rates and became ubiquitous in today’s work environment. PDF files are the go-to solution for exchanging business data, internally as well as with trading partners. Some popular use-cases for PDF documents in fields like supply chain, procurement and business administration are:

  • Reports
  • Presentations
  • Invoices
  • Purchase Orders
  • Shipping Notes
  • Price & Product Lists
  • HR Forms

All documents types mentioned above have one thing in common: They all are used to transfer important business data from point A to point B.

So far so good. There is however a catch … PDF is basically just a replacement for paper.

In other words, data stored in PDF documents is basically as accessible as data written on a piece of paper. This becomes a problem though whenever you need to access the data stored inside your documents in a convenient way, for example converting a PDF to Excel. Which raises the question how to extract data from PDF files?

The default reflex is to manually re-key data from PDF files or performing a copy & paste. Obviously, manual data entry is a tedious, error-prone and costly method and should be avoided by all means. Further below we present you different approaches on how to extract data from a PDF file. But first lets dive into why PDF data extraction can be a challenging task.

Why is it challenging to extract data from PDF files?

There are several reasons why extracting data from PDF can be challenging, ranging from technical issues to practical workflow obstacles.

For starters, a lot of PDF files are actually scanned images. While those documents are easily readable for humans, computers are not capable to understand the scanned image text without first applying a method called Optical Character Recognition (OCR).

Once your documents went through a OCR PDF Scanner and actually contain text data (and not just images), it’s possible to manually copy & paste parts of the text. Obviously, this method is tedious, error-prone and not scalable. Opening each PDF document individually, locating the text you are after, then selecting the text and copying to another software just takes way too much time.

How to extract data from a PDF?

Manually re-keying data from a handful of PDF documents

Let’s be honest. If you only have a couple of PDF documents, the fastest route to success can be manual copy & paste. The process is simple: Open every single document, select the text you want to extract, copy & paste to where you need the data.

Even when you want to extract table data, selecting the table with your mousepointer and pasting the data into Excel will give you decent results in a lot of cases. You can also use a free tool called Tabula to extract data from PDF to Excel. Tabula will return a spreadsheet file which you probably need to post-process manually. But it’s definitely a good starting point.

Outsourcing manual data entry

Outsourcing data entry is a huge business. There are literally hundreds of data entry providers out there which you can hire. In order to offer fast and cheap services, those companies hire armies of data entry clerks in low-income countries which then do the heavy-lifting. Obviously, data entry providers also use advanced technology to speed up the process, the overall workflow is however basically the same than the one described above: opening every single document, selecting the right text area and putting the data inside a database or a spreadsheet.

Outsourcing manual data entry comes with a lot of overhead. Finding the right provider, agreeing on terms and explain your specific use-case makes economically only sense if you need to process high volumes of documents. And still then, it might be much more efficient to let an automated software do the job (see next chapter).

Fully automated PDF data extraction software

Automated PDF data extraction solutions come in different flavours, ranging from simple OCR tools to enterprise ready document processing and workflow automation platforms. Most systems share however a similar workflow:

  1. Assemble batches of samples documents which acts as training data
  2. Train the system for each type of document you want to process
  3. Set up a process to automatically fetch documents, process them and dispatch the data

Most advanced solutions use a combination of different techniques to train the data extraction system. A simple method is for example Zonal OCR where the user simply defines specific locations inside the document with a point & click system. More advanced techniques are based on regular expressions and pattern recognition.

Extract Data from PDF with Zone OCR Technology

After the initial training period, document data extraction systems offer a fast, reliable and secure solution to automatically convert PDF documents into structured data. Especially when dealing with many documents of the same type (Invoices, Purchase Orders, Shipping Notes, …), using a PDF Parser is a viable solution.

At Docparser, we offer a powerful, yet easy-to-use set of tools to extract data from PDF files. Our solution was designed for the modern cloud stack and you can automatically fetch documents from various sources, extract specific data fields and dispatch the parsed data in real-time. Have a look at our screencast below which gives you a good idea of how Docparser works.

We hope you got a better picture on the different options for extracting data from PDF documents. Please don’t hesitate to leave a comment or to reach out to us by email.

20 thoughts on “Extract Data From PDF: How to Convert PDF Files Into Structured Data”

    1. Hi James, thanks for your great question! We do offer various ways of storing the parsed data in a SQL table and you can find more information on this topic in our PDF to Database article. Hope this helps!

  1. Hej guys, thanks for an awesome service – got a question for you: How can I parse a NUMBER from an invoice/line item from the BEGINNING of a line, usually on every second line of the invoice line items… I have tried to tag a LINEFEED/CR, but I cant figure out how ?? Other ideas ? My document have this tag: egsxtjlzbudx

    Thanks !

    1. Hi Lars! Thanks for reaching out! Would you mind sending your question to our support staff through the app? I’m certain they help you with this by adding a table row filter.

      1. Yes, an email to support [at] docparser.com would be the way to go. You can also use the “?” icon inside the Docparser web-app (bottom right) to contact support.

  2. Hello,

    I am looking to form a database in MS Excel from information contained in PDF files.

    These PDF files contain several different codes followed by specific information regarding a single subject.

    For example:
    [311] John Smith
    [834] 4245 Grass Rd.
    [756] 01/01/1990
    [110] *image*

    Now, these entries repeat over and over again in the PDF file, one after the other and arranged only in two columns.

    Can docparser extract this information and empty it into an excel file?

    And can docparser take an image contained in the PDF as well?

    1. Hi Daniel! Based on the description of your document I would say we should be able to extract the data you need. But to be sure, I would suggest you create a free trial account and upload a sample file.

  3. dear docparser’s,

    great looking features you have there. I have a question too. Any chance that I can use docparser to recognize different type of documents? I do have a library mixed with many kinds of document. Almost all scanned and OCR’d. I would like to parse these in bulk and based on number of criteria (visuals and textual content) differentiate invoice from company A and purchase order from company B. Or maybe simple ‘sent by company C’. In the end I would like to have some dedicated tags in each pdf meta-data to store type of document.

    Looking forward to your answer.

    Best regards, Pieter

    1. Hi Pieter! Thanks for the great question. We do indeed have a “layout model” feature which lets you classify documents based on keywords and then apply a matching set of data extraction rules. You can learn more about this feature here. Hope that answered your question!

  4. Is it possible to extract black text data that has been included under a black image. The text was not part of the image

    1. Hi Jeff, if the text is still stored in the PDF document (e.g. you can select it in your PDF viewer), we might be able to extract it. If this is however an image representation (scanned document), our OCR engine won’t be able to extract text which is not visible.

  5. Is it possible for the OCR to read human handwriting on an invoice, instead of computer generated text?

    The case for this would be if a user hand edited an invoice and changed the date, amount, number, etc.

    1. Hi Nick! Thanks for the great question. Handwriting OCR is not something we support at Docparser at this point in time. In our experience, the accuracy of handwriting detection is rather low and you should add a manual human validation and data cleaning step in your setup.

  6. Hello,
    I have an pdf file where i wanna extract data like name,id no,date,salary,funds etc where these all keywords are placed in different pages,and i have around 100 pdf files and i want to extract all these data from pdfs and place in an table format.Can u help me out solve this problem,,,,

    1. Hi Sai! What you describe does definitely sounds like something we can help you with. I would suggest that you create a free trial, upload a couple of documents and reach out to our support team if you have any questions regarding the setup.

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