Ocrolus
AI automation of financial documents for lending and digital credit
Overview
Ocrolus is a New York-based financial document automation platform founded in 2014, adopted by major digital lending players like PayPal, SoFi, LendingClub, and Enova. It extracts, classifies, and validates with 99%+ precision data from bank statements, pay stubs, tax returns, and any borrower document, including detection of forged documents via a dedicated anti-fraud engine.
Ocrolus's core value is revenue verification and cash-flow analysis to automate credit decisions. The platform integrates via API into lenders' LOS (Loan Origination Systems) and fintech platforms. It handles mortgages, business loans, consumer credit, and peer-to-peer lending. Document-forgery detection is a key differentiator vs. standard OCR.
Our verdict
Reference for lending fintechs, online banks, and credit brokers wanting to automate borrower-file analysis and reduce document fraud. ROI is fast once volumes exceed hundreds of files monthly. Less relevant for insurers (except credit-insurance bancassurance) or businesses outside finance: the engine is optimized for income and cash-flow documents, not claims or policies.