Extract Data from Pay Stubs with AI
Test representative pay-stub layouts from common payroll systems. The parser targets gross pay, net pay, YTD earnings, deductions, employer details, and pay-period information and returns structured JSON with confidence signals.
What We Extract
- ✓Employee name and ID
- ✓Employer name and address
- ✓Pay period start/end dates
- ✓Gross pay
- ✓Net pay
- ✓Federal and state tax withheld
- ✓FICA (Social Security & Medicare)
- ✓YTD gross and net
- ✓Health insurance, 401(k), and other deductions
How It Works
Upload your pay stub (PDF, PNG, JPG)
AI identifies configured earnings and deduction fields
Review earnings, deductions, YTD totals, and confidence signals
Export the reviewed result as JSON
Who Uses This
- →Lenders verifying income for mortgage applications
- →Property managers screening rental applicants
- →Fintech companies automating underwriting
- →HR tech platforms processing employment verification
Representative Source Layouts
FAQ
Which payroll-provider layouts can I test?
The parser is designed for varying pay-stub layouts. ADP, Gusto, Paychex, QuickBooks, Workday, and Ceridian are representative examples; verify your own sample before scaling.
Do you extract YTD totals?
Yes. We extract year-to-date gross, net, and deduction totals alongside current-period figures.
Can you process pay stubs for gig or variable income workers?
Yes. We handle hourly, salaried, commission, and tip-based pay stubs including multiple rates and earnings types.
How do you handle multi-state pay stubs?
We extract state tax withholding for each state listed on the stub, including employees who work in multiple states.