Cognitive data capture uses artificial intelligence (AI) to mimic the way the human mind reads structured documents. This approach has two key features:
- AI learns to recognize information through exposure to examples rather than manual configuration by experts,
- AI can recognize a lot of information in documents with layouts it has never seen before.
Unlike manual data entry or traditional OCR, cognitive data capture requires no extra manpower. It also saves you the hassle, time, and cost of setting up endless rules and templates. You can read detailed comparisons of effort in our TCO analysis series.
Rossum’s cognitive data capture AI uses deep neural networks to recognize patterns in documents, just as a human mind would. This enables the platform to understand the underlying general structure of business documents such as invoices. Rossum’s unique neural network architecture allows it to comprehend a wide range of layouts. It also ensures highly accurate data extraction.
Read our founders’ blog series on cognitive data capture for an in-depth look at the technical differences between legacy OCR solutions and cognitive data capture. You can also learn how Rossum’s technology works.
Don’t see the answer you’re looking for? Visit our FAQ section for more.