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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.
Step two: Human-in-the-Loop
Classifications with imperfect confidence are routed to Ocrolus data verification specialists for data labeling and quality control.
Step three: Structured output
In minutes, Ocrolus generates a cleanly indexed and labeled taxonomy, enabling each document to be properly routed in downstream processes.
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.”