Fraud Detection
Veridexa's forensic AI inspects every pixel, byte, and metadata field to surface tampering, forgery, and synthetic-identity attacks before they enter your workflow.
How it works
Each uploaded document is passed through a pipeline of specialized detectors — pixel-level manipulation analysis, font and layout consistency checks, metadata forensics, and cross-reference lookups against known templates and issuer registries.
Signals are combined into a single risk score with a full audit trail, so your team can act with confidence and regulators can review the evidence.
Pair document analysis with the Veridexa Biometrics platform for face and eMRTD chip verification, or read the Knowledge Base for detector-by-detector explainers.
What we detect
Pixel manipulation
Splicing, copy-move, and generative edits detected via error-level and noise analysis.
Font & layout tampering
Substituted characters, misaligned baselines, and cloned fields against issuer templates.
Metadata forensics
EXIF, XMP, and PDF trailer inspection to catch re-saves, editors, and inconsistent timestamps.
Template mismatches
Compared to a curated library of official government and financial document templates.
Built for regulated workflows
Every decision includes reasoning, evidence, and a signed report. Deploy across onboarding, KYC refresh, and high-risk transaction review with the same API — see API reference and Developer Showcase.
Fraud detection by document type
Related resources
Add face and eMRTD chip verification to any fraud workflow.
Fraud detection patterns for financial services, education, employment, and marketplaces.
How AI-native detection differs from manual review, OCR-only, or rule-based systems.
Deep-dives on document forensics, MRZ validation, and detector methodology.
Free API keys, playground, and quickstarts to integrate detection in minutes.
Unlimited fraud detection for individuals — no credit card required.