Document AI · Consumer & Retail Lending

AI Paystubs Extraction & Data Extraction

Uptiq's Document AI extracts gross pay, deductions, and year-to-date totals from paystubs across pay frequencies and employers, standardizing income calculation.

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

Trusted by financial institutions across banking, lending & credit

Consumer LendersMortgage LendersAuto LendersStudent LendersCommunity Banks

What is a Paystubs?

Paystubs document an individual's recent earnings and deductions — the most common income-verification document across consumer, mortgage, and auto lending.

Uptiq's Document AI extracts gross pay, deductions, and year-to-date totals from paystubs across pay frequencies and employers, standardizing income calculation.

Pay frequency (weekly, biweekly, semi-monthly, monthly) affects how income needs to be annualized

Intake / ApplicationUnderwritingClosing / DocumentationServicing / Monitoring
Pay frequency (weekly, biweekly, semi-monthly, monthly) affects how income needs to be annualized
Multiple paystubs from the same borrower need to be aggregated for a recent-income view
Overtime, bonus, and commission income need to be separated from base pay
Paystub layouts vary significantly across payroll providers
Year-to-date figures need to be reconciled against pay-period figures for consistency checks

AI agents built for paystubs processing

Uptiq's Document AI extracts gross pay, deductions, and year-to-date totals from paystubs across pay frequencies and employers, standardizing income calculation.

1
Classification
Paystubs 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
Validation & structuring
Extracted fields are validated and structured for downstream use.
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 paystubs data — measured across production deployments.

41%
Faster underwriting cycle time
95%+
Extraction accuracy
100+
Native integrations
5 days
To first production deployment

Fields Uptiq extracts from a Paystubs

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

FieldExample
Employer Name[Employer Name]
Gross Pay (Period)$3,846.15
Pay FrequencyBi-weekly
YTD Gross Pay$46,153.80
Net Pay (Period)$2,910.42
Pay Period End2026-06-13
Sample structured output
{
  "employer_name": "[Employer Name]",
  "gross_pay_period": "$3,846.15",
  "pay_frequency": "Bi-weekly",
  "ytd_gross_pay": "$46,153.80",
  "net_pay_period": "$2,910.42",
  "pay_period_end": "2026-06-13"
}

What changes when this runs automatically

Paystubs Extraction, Not Just Storage

Uptiq's Document AI extracts gross pay, deductions, and year-to-date totals from paystubs across pay frequencies and employers, standardizing income calculation.

Handles the Real-World Complexity

Pay frequency (weekly, biweekly, semi-monthly, monthly) affects how income needs to be annualized

Consistent, Structured Output

Overtime, bonus, and commission income need to be separated from base pay

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 paystubs volume with your existing team as application volume grows.

Results from 150+ financial institutions in production

41%
Faster underwriting cycle time
95%+
Extraction accuracy
100+
Native integrations
5 days
To first production deployment

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

From paystubs receipt to structured output

Paystubs arrives at intake

The paystubs 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.

Data is validated and structured

Extracted fields are validated and structured for downstream use.

Delivery into your LOS

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

What teams ask before they start

Paystubs AI is Uptiq's Document AI capability for classifying and extracting paystubs 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 annualizes gross pay correctly whether a borrower is paid weekly, biweekly, semi-monthly, or monthly.
Yes. Variable income types are extracted as distinct line items so they can be treated per your qualifying-income policy.
Yes. When both are submitted, year-to-date paystub figures can be validated against prior-year W-2 totals for consistency.
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 Paystubs AI in Action

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

Paystubs AI, done right.

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