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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.
Ocrolus has been so easy to work with; we’ve been able to scale Operations by implementing Ocrolus.”