Ocrolus
AI document automation platform for financial services - extracting and analyzing data from bank statements, paystubs, and tax docs.
What it does
Ocrolus is an AI-native document automation platform purpose-built for financial services - enabling lenders, fintechs, and financial institutions to automatically extract, classify, and analyze data from financial documents including bank statements, pay stubs, tax returns, W-2s, and business financial statements. Its AI achieves over 99% accuracy through a human-in-the-loop quality layer that validates AI extraction on edge cases. Ocrolus's Cash Flow Analytics layer then analyzes extracted bank data to compute income, cash flow patterns, NSFs, and other underwriting signals - turning raw document data into structured, lender-ready data points. It is used by mortgage lenders, small business lenders, and consumer finance companies to accelerate underwriting and reduce manual document review.
Why AI-NATIVE
Ocrolus is AI-native - neural network-based document classification, field extraction, and financial analytics on unstructured documents are the product architecture from the ground up.
Best for
Mid-market lenders and fintechs use Ocrolus to automate document-heavy underwriting workflows - reducing the time loan processors spend manually reviewing and keying data from financial documents.
Large financial institutions use Ocrolus for high-volume document processing - automating the extraction and analysis layer that feeds underwriting models and compliance workflows.
Limitations
Ocrolus is built specifically for financial document types — organizations needing general document intelligence across diverse document categories should evaluate broader IDP platforms.
Ocrolus pricing scales with document volume — organizations with variable processing needs can face unpredictable monthly costs as loan origination volume fluctuates.
The human quality assurance layer that ensures high accuracy adds processing time — organizations with real-time document analysis requirements may find the turnaround insufficient for their use case.
Alternatives by segment
Ocrolus pricing is based on document volume (per-document pricing). Enterprise contracts negotiated for committed volumes. Typical mid-market contracts start around $50,000 - $150,000 annually depending on volume.
