Stop Losing $50,000/Year to Payslip Fraud

Catch 80% of fake payslips for $0.10 each. While competitors charge $2.79+, our AI-powered fraud detection saves you 20x on costs and prevents devastating hiring mistakes.

Live: 2,847 fraudulent documents caught this month · $NaN fraud prevented · 10+ companies protected
Contact: official@sigillum.digital We thrive on feedback. Send us your thoughts, critiques, or even brutal takedowns!
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Contribute only rightful, non-confidential payslips. Opt‑in contributions earn bonus credits on eligible plans and help reduce false positives for everyone. This is how Sigillum learns and improves — every document makes us smarter.
Best with image payslips (JPG/PNG). PDFs supported but may OCR differently.

Every Fake Payslip Costs You $12,000

  • Fraudulent hires drain your budget — from recruitment to termination costs
  • Manual verification takes 45+ minutes — your team has better things to do
  • Competitors charge $2.79 per check — that's $2,790 for 1,000 documents
  • One bad hire costs 30% of annual salary — damage goes beyond verification

Get Your 10‑Second Fraud Protection

80% accuracy
$0.10 per check
10‑second results
Continuous improvement

Learns organically

With opt‑in data sharing, SIGILLUM improves template coverage and strengthens forensic thresholds over time. Every upload makes the system better for everyone. We're just getting started — your feedback drives our evolution.

Template library growth from real documents
Dynamic calibration for device/photo artifacts
Feedback loop to reduce false positives

Why teams love it

Instant signal: a single Authenticity Score
Explainable: visual/text/metadata breakdown
Feedback-driven: your input makes us better

How it works

  1. Visual match: structure, logo, and template proximity
  2. OCR checks: earnings, dates, and totals consistency
  3. Forensics: EXIF/metadata and compression anomalies

Who is it for?

Lenders, BNPL, HR & staffing, trust-and-safety teams, and fintech onboarding. If you approve payslips, this belongs in your toolkit.