Structured document reader


NLP and computer vision practices enable the automated extraction of structured data from invoices or any other structured documents as test results or forms. Our solution also allows saving the results in databases, eliminating errors, and utilizing qualified personnel on tasks with higher added value.

Business case

Processing the documentation takes a lot of time, but the procedure could be automated, accelerated, and significantly improved using innovative practices.


End-to-end semi-supervised invoice reading solution based on experience with computer vision, Named-entity recognition (NER), and natural language processing (NLP) underlie the solution.

Invoice data capture is naturally connected to several business functions. The receipt of an invoice triggers a series of processes with specific data requirements. Several data fields must be localized, and data extracted from those fields. The data capture uses advanced machine learning (ML) to accelerate all steps and ensure accurate results.


Ten reasons why you should consider:

  • Save time
  • Reduce costs
  • Reduce mistakes
  • Better customer service
  • Get paid faster
  • Easier to keep track
  • A higher degree of control
  • Better insight into the process
  • Easy to customize
  • Increased data integrity