Ocrolus
Document AI built for lending: financial document extraction with fraud detection.
About
Ocrolus is a New York document AI company founded in 2014, purpose-built for financial documents: bank statements, pay stubs, tax forms, and IDs. Its models extract line items, balances, and income fields, and every document passes through human-in-the-loop verification for accuracy. Its differentiator is Ocrolus Detect, a fraud detection product that flags tampered and AI-generated financial documents — in October 2026 the company made Detect free for every mortgage customer, and it reports that 12% of loan applications it processes contain suspicious activity (company-reported). Pricing is custom and usage-based, with industry reports suggesting around $5-10 per document plus minimum commitments, and onboarding is sales-led with custom implementation. That makes it a strong fit for fintechs, mortgage lenders, and SMB lenders processing high volumes, and a poor fit for teams wanting transparent self-serve pricing.
What it can do
- Bank statement, pay stub, and tax form extraction
- Human-in-the-loop verification
- Ocrolus Detect fraud screening
- Cash-flow analytics
- Embedded viewer for Encompass
- REST API into existing LOS/CRM workflows
Setup
- Contact sales for a quote and implementation plan.
- Send documents via API or the embedded viewer (e.g. inside Encompass for mortgage).
- Review extracted data and fraud flags in the Ocrolus platform.
- Feed structured output into your LOS or underwriting workflow.
Prerequisites
Lending or fintech operation with document volume; sales-led onboarding; budget for per-document pricing.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Founded 2014 NYC, financial-document specialization (bank statements, pay stubs, tax forms) verified; Ocrolus Detect fraud product made free for mortgage customers Oct 2026 per press release; 12% suspicious-activity figure flagged company-reported; Pricing custom per-document, ~$5-10/document per industry reports (flagged as reported, not verified); Limitations: opaque pricing, sales-led implementation, lending-focused.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.