Use case
Verify income documents before you lend
The problem
Editing a payslip used to need skill; now anyone can generate a convincing fake in seconds. Lenders, landlords, and platforms make daily decisions on PDFs nobody forensically examines.
Manual review catches the sloppy fakes. The good ones — consistent fonts, plausible numbers, clean metadata at a glance — sail through.
How Stipple helps
Stipple runs deep forensic inspection on every document: file-structure and metadata analysis, font and layout integrity, image-tamper signals, and arithmetic reconciliation (does gross − tax − deductions actually equal net?).
You get a risk band (low / medium / high), the specific findings that fired, a recommended action, and an audit-ready PDF report — a signal for your reviewer, not a black-box verdict.
The call
curl -X POST https://www.stipple.sh/v1/warrants -F "file=@payslip.pdf"
# → { "risk_band": "high", "recommended_action": "review_before_action",
# "signals": [ { "id": "domain.payslip.reconciliation", ... } ] }Integrate at intake: low-risk documents flow through automatically, elevated ones route to a human with the findings highlighted.