Ocrolus / ocrolus.com
AI document processing platform for financial services that extracts, classifies, and verifies data from bank statements, pay stubs, tax returns, and loan applications for lending and underwriting workflows.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
2
Free plan
No
API access
No
Open source
No
Platforms
2
Ocrolus is an AI document analysis platform purpose-built for financial services document workflows — bank statements, pay stubs, W-2s, tax returns, mortgage applications, and other financial documents that underpin lending, underwriting, and compliance processes.
The platform's core capability is highly accurate data extraction from financial documents despite variation in format, quality, and structure. Unlike general OCR tools that extract text character-by-character, Ocrolus combines OCR with machine learning document classifiers, field extractors, and human-in-the-loop verification for edge cases — producing accuracy rates that meet financial services data quality requirements.
Bank statement analysis is the primary use case — extracting income, cash flow patterns, recurring payments, and deposit history from bank statements for loan underwriting. Rather than loan officers manually reviewing months of bank statements, Ocrolus extracts structured cashflow data in minutes for automated underwriting decisions.
Fraud detection identifies tampered, forged, or inconsistent documents by analysing metadata, formatting anomalies, and data inconsistencies — helping lenders detect fraudulent loan applications before funding.
Ocrolus serves mortgage lenders, fintech companies, and banks who need to process high volumes of financial documents with accuracy requirements that general-purpose document AI tools cannot meet. Key customers include Blend, Dave, and SoFi.
Ocrolus runs as document analysis llm software built around document and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api.
The capabilities that matter most for teams evaluating Ocrolus.
Extracts structured income, deposit patterns, and cashflow metrics from bank statements replacing manual statement review in loan underwriting workflows.
Identifies tampered and forged financial documents through metadata, formatting anomaly, and data consistency analysis — flagging suspicious applications before funding.
Combines OCR with financial document-specific ML models and human verification for edge cases, achieving accuracy rates that meet financial services data quality requirements.
Enterprise B2B. Pricing per document. Contact for pricing.
Model
Enterprise
Starting price
Free
Free trial
No
Plaid provides bank data access through APIs rather than document processing. Blend provides mortgage platform with document processing. Mastercard Data & Services provides financial data analytics. Inscribe AI provides competing financial document fraud detection.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
Ocrolus
Platforms
Web, API
Deployment
SaaS, API
Integrations
Blend, Encompass, Salesforce, Lender LOS systems, API
Team Collaboration
No
Launch Year
2022
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. FCRA compliant. Financial services regulatory compliance. Enterprise data handling agreements.
Financial document data processed under strict financial services data handling requirements and applicable credit reporting regulations.
Editorial Verdict
Ocrolus is the leading AI financial document processing platform for fintech lenders, mortgage companies, and banks who need highly accurate bank statement analysis, income verification, and fraud detection at scale.
Last verified July 24, 2026.
Enterprise B2B. Pricing per document. Contact for pricing.
Enterprise licensing to financial institutions. No public pricing. Annual contracts. Publicly traded (NCNO). Demo available.
SOC 2 Type II. ISO 27001. GDPR compliant. FCRA compliant. Financial services regulatory compliance. Enterprise data handling agreements.
SOC 2 Type II. ISO 27001. GDPR compliant. FFIEC banking guidelines. Regulatory compliance for financial services. Enterprise data handling agreements.
Financial document data processed under strict financial services data handling requirements and applicable credit reporting regulations.
Financial institution lending and customer data processed under nCino's financial services data handling standards and applicable banking regulations.
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