Document Fraud Detection

AI-powered document analysis detects forged, altered, or manipulated payslips and compliance documents.

Overview

Catch Fraud Before It Costs You

Our multi-layered fraud detection system combines deterministic analysis with AI narrative review to identify document manipulation. From metadata anomalies to pixel-level analysis, we catch forgeries that the human eye cannot.

Detection Methods

Metadata Analysis — Creation dates, software signatures, author fields
Font Forensics — Inconsistent fonts, sizes, and rendering patterns
Pixel & ELA Analysis — Error Level Analysis reveals edited regions
Layer Detection — Hidden layers and object manipulation in PDFs
AI Narrative Analysis — Mistral 7B reviews content for inconsistencies
Cross-Document Comparison — Identifies patterns across multiple submissions

Key Benefits

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4-Pillar Detection

Metadata, font, pixel, and layer analysis combined.

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AI-Powered Review

Mistral 7B analyses document content and context.

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12 Document Types

Specialised detection for payslips, P60s, P45s, and more.

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Confidence Scoring

Risk levels from low to critical with detailed findings.

Get Started with Detection

Start your free trial today and see the difference.

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