Document AI · Universal Documents

AI Personal Financial Statement Extraction & Financial Analysis

Uptiq's Document AI extracts assets, liabilities, and net worth from personal financial statements — including bank forms like SBA Form 413 — and normalizes them into your underwriting template.

95%+
Extraction accuracy
41%
Faster underwriting cycle time
100+
Native integrations

Trusted by financial institutions across banking, lending & credit

Financial InstitutionsCommunity BanksCredit UnionsCommercial LendersNon-Bank Lenders

What is a Personal Financial Statement?

A personal financial statement summarizes an individual's assets, liabilities, and net worth — used to underwrite personal guarantees and evaluate a borrower's outside financial strength.

Uptiq's Document AI extracts assets, liabilities, and net worth from personal financial statements — including bank forms like SBA Form 413 — and normalizes them into your underwriting template.

Format varies from free-form spreadsheets to standardized bank/SBA forms

Intake / ApplicationUnderwritingClosing / DocumentationServicing / Monitoring
Format varies from free-form spreadsheets to standardized bank/SBA forms
Assets need to be categorized by liquidity (cash, securities, real estate, other)
Contingent liabilities and guarantees are easy to miss in a manual read
Real estate values and associated liens need to be paired correctly
Joint statements for co-borrowers need assets and liabilities split correctly

AI agents built for personal financial statement processing

Uptiq's Document AI extracts assets, liabilities, and net worth from personal financial statements — including bank forms like SBA Form 413 — and normalizes them into your underwriting template.

1
Classification
Personal Financial Statement documents are classified and matched to the correct extraction schema automatically.
2
95%+ accuracy extraction
Every field is extracted with full data lineage back to the source page.
3
Automatic ratio & metric calculation
Key financial metrics are calculated automatically from the extracted figures.
4
Delivery into your LOS
Structured output flows into your existing LOS — 100+ native integrations, no rip-and-replace.

The result: your team spends time on judgment calls, not re-keying personal financial statement data — measured across production deployments.

36%
Less spreading & extraction time
41%
Faster underwriting cycle time
95%+
Extraction accuracy
5 days
To first production deployment

Fields Uptiq extracts from a Personal Financial Statement

A sample of the structured fields Uptiq's Document AI captures from this document type.

FieldExample
Total Assets$1,850,000
Total Liabilities$620,000
Net Worth$1,230,000
Liquid Assets$310,000
Real Estate Value$980,000
Contingent Liabilities$0
Statement Date2026-05-01
Sample structured output
{
  "total_assets": "$1,850,000",
  "total_liabilities": "$620,000",
  "net_worth": "$1,230,000",
  "liquid_assets": "$310,000",
  "real_estate_value": "$980,000",
  "contingent_liabilities": "$0"
}

What changes when this runs automatically

Personal Financial Statement Extraction, Not Just Storage

Uptiq's Document AI extracts assets, liabilities, and net worth from personal financial statements — including bank forms like SBA Form 413 — and normalizes them into your underwriting template.

Handles the Real-World Complexity

Format varies from free-form spreadsheets to standardized bank/SBA forms

Consistent, Structured Output

Contingent liabilities and guarantees are easy to miss in a manual read

95%+ Accuracy, Full Audit Trail

Every extracted field traces back to its source page — examiner-ready documentation, every time.

Integrates with Your LOS

100+ native integrations across loan origination systems, cores, and workflows. No new infrastructure.

Scales Without Adding Headcount

Process more personal financial statement volume with your existing team as application volume grows.

Results from 150+ financial institutions in production

36%
Less spreading & extraction time
41%
Faster underwriting cycle time
95%+
Extraction accuracy
5 days
To first production deployment

Results represent aggregate outcomes across production deployments. Individual results may vary.

From personal financial statement receipt to structured output

Personal Financial Statement arrives at intake

The personal financial statement arrives via email, portal, or upload. AI classifies it automatically.

AI extracts key fields

Fields are extracted at 95%+ accuracy with full data lineage back to the source page.

AI calculates key metrics

Derived metrics and ratios are calculated automatically from extracted figures.

Delivery into your LOS

Structured, extracted data lands in your existing loan origination or servicing system.

What teams ask before they start

Personal Financial Statement AI is Uptiq's Document AI capability for classifying and extracting personal financial statement documents, turning them into structured, underwriting-ready data instead of a PDF to read manually.
Uptiq's Document AI is certified to 95%+ extraction accuracy by a Knowledge Team of former underwriters, bankers, and analysts, with every extracted field tracing back to its source page for audit purposes.
Yes. Uptiq recognizes standardized personal financial statement forms including SBA Form 413, alongside free-form statements.
Yes. Contingent liabilities, guarantees, and co-signed debts are extracted as distinct line items, not folded into total liabilities.
Yes. Uptiq splits assets and liabilities correctly when a statement covers multiple individuals.
Yes. Uptiq connects to 100+ integrations across loan origination systems, core banking platforms, and underwriting workflows — the agent layer sits above your existing stack with no rip-and-replace required.

Explore related document types

See Personal Financial Statement AI in Action

Book a 30-minute session. We'll run a live extraction demo on your own personal financial statement documents.

Personal Financial Statement AI, done right.

150+ financial institutions run Uptiq's AI agents to process financial documents and accelerate underwriting.