Document Type Recognition

Document Type Recognition (DTR) is a computerized process used to identify and categorize different types of documents based on their visual content and structure. It is an important step in document processing and information management systems. DTR algorithms analyze various elements of a document, such as layout, graphics, text, fonts, and formatting, to make accurate predictions about the document’s type.

The main objective of DTR is to automatically classify documents into predefined categories, such as invoices, contracts, resumes, medical records, or emails. This classification enables efficient and automated document indexing, sorting, retrieval, and workflow processing. DTR typically involves techniques such as pattern recognition, image processing, machine learning, and natural language processing. By accurately recognizing document types, organizations can streamline their document management processes, improve data accuracy, and enhance overall productivity in handling large volumes of diverse documents.

Discover Our Solutions

Exploring our solutions is just a click away. Try our products or have a chat with one of our experts to delve deeper into what we offer.


Unlock More Insights


2022 Deloitte Technology Fast 500™ Ranks Microbl…

Esteemed group includes global, award-winning, SaaS company with industry-leading number of customers touting triple-digit pe…

Read more

3 ways automated document verification software sp…

Automated document verification software speeds up onboarding by reducing manual effort, improving accuracy, and enhancing co…

Read more
Industry Use Case

A guide to getting remote identity verification ri…

We live in an age where we have dozens, if not hundreds, of online accounts. They form a core link between us and the service…

Read more
Explore resources