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Sort documents with precision using machine learning

Automatically classify documents to accelerate the decision-making process.

Ocrolus analyzes and organizes all types of documentation submitted by your applicants, including parseable PDFs, scans, and smartphone images. Our process yields a structured output of labeled and indexed documents, enabling you to notify borrowers of incorrectly submitted or missing information quickly.

Step one: Machine learning

Machine learning is employed to auto-classify documents with precision. As an example, our core mortgage model performs at 95% accuracy across 11 document classes.

Classify step1

Step two: Human-in-the-Loop

Classifications with imperfect confidence are routed to Ocrolus data verification specialists for data labeling and quality control.

Classify step2

Step three: Structured output

In minutes, Ocrolus generates a cleanly indexed and labeled taxonomy, enabling each document to be properly routed in downstream processes.

Classify step3

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We're enhancing the Blend platform with Ocrolus' automated, accurate document classification and data extraction capabilities. Our partnership with Ocrolus enables us to swiftly deliver time-saving innovations to our customers.”

– Jeff Braddock, Manager, Business Development