HR & People Operations
Payroll / Wage Statement
Extract earnings, deductions and net pay from payslips for verification, lending or onboarding checks.
The Challenge
Payslips differ by payroll provider and country, packing gross pay, tax classes, social-security contributions and net pay into dense coded tables. Abbreviations and wage-type codes vary and need normalising.
Industries
HR services, lending/fintech, relocation, accounting, any employer.
Who Uses It
HR/payroll teams, lenders, accountants, onboarding/verification.
BASE Schema
Employee name / ID — Text
Pay period — Date
Employer — Text
Gross pay — Number
Wage types (code, amount) — Table
Tax & social-security deductions — Table
Net pay — Number
Tax class / allowances — Text
Recommended pipeline settings — Context (internal wage-type code meanings)
OPTIONAL Validation
Gross − deductions = net check; wage-type normalisation; period continuity; PII handling under GDPR.
Frequently ASked Questions
How can AI extract data from payslips?
It reads gross pay, deductions and net pay from any payroll layout, normalises wage-type codes, and validates that the arithmetic reconciles.
Can payslip extraction support income verification?
Yes — structured earnings data lets lenders and HR verify income quickly without manual reading.
Why automate wage-statement processing?
It speeds verification and onboarding, reduces manual review of sensitive documents, and standardises payroll data across providers.
See more use cases.
Get inspired by further sample data schemas.