Converting
unstructured PDF content
into valuable data
extraction analysis structure


Benefits

  • PDF content is automatically converted into structured data

  • The self-learning system lets you benefit from every further iteration of the workflow

  • Highly scalable for large numbers of PDFs

  • All export formats possible: PDF, JSON, xml, HTML, XHTML, xlsx etc.

  • Web application with optional data storage and APIs


Cases

You need examples from the real world? Learn about DATA EXTRACTOR-based solutions we developed for our customers!

DAX-listed chemical company: Old TDS files transformed into enhanced TDS files

TASK

Thousands of Technical Data Sheets (TDS) in different layouts had been created over the last decades. These were to be aligned and updated.

SOLUTION

  1. Using the DATA EXTRACTOR, all data was extracted from the PDF files.
  2. The data was restructured for further handling in text engines.
  3. Not only homogeneous bullet lists, but short product descriptions were developed.

RESULT

  1. New Technical Data Sheets with more appealing content were created.
  2. All PDF files were available in the most recent company layout.
     
     

Leading supplier of window and door technology: Automated product catalogue update

TASK

Automated data extraction and structuring from PDF product catalogue (950 pages).

SOLUTION

  1. Image and structure analysis.
  2. Adaptation of algorithms to customer-specific PDF structure.
  3. Data structuring and export with DATA EXTRACTOR.

RESULT

  1. Automated extraction of product data instead of manual transfer.
  2. Data format and structure is available in a form that matches further digital processing.

 
 

DAX-listed chemical company: Static product descriptions turned into live web content

TASK

Thousands of products were listed in the web shop and the sales approach needed to be improved.

SOLUTION

  1. Using the DATA EXTRACTOR, all product texts were extracted to a database.
  2. The marketing agency and our content specialists developed different versions of the texts and prepared them for usage in text automation engines.
  3. These texts vary on various factors, for example, the time of year, location as provided by browser, or shopping basket content.

RESULT

More lively and compelling product descriptions were provided for the web shop through text automation.


From PDF content to valuable data

Getting ready for digital transformation

Most of the data in our digital world is not structured enough – if at all – for digital transformation processes, e.g. automated text generation in ecommerce.

AI supported tool

Our DATA EXTRACTOR offers you a powerful AI supported tool to extract, analyze and structure PDF content into any data format required.

Beyond simple OCR

Our solution operates beyond simple OCR. The DATA EXTRACTOR scans even complex structured PDF content, identifies the visual layout and classifies single modules.

Semantically enriched data.

Save time, resources and money while getting not only structured data, but, for the first time, corrected and semantically enriched data.

Embedded grammar parsing

With an embedded grammar parser you can align, unify and correct your data on the basis of multiple PDF documents. The analysed data can then be written into any database via API or can be exported in any format required (PDF, JSON, xml, HTML, XHTML, xlsx).

Part of SCAS

The DATA EXTRACTOR is part of our Smart Content Automation Services (SCAS).


About DATA EXTRACTOR

DATA EXTRACTOR is provided by text2net, your agency specialising in content and data management.

We have been working successfully for leading international companies since 2004.

Logos of text2net customers

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