Fraud Detection Engine

Every trick they try,
we catch it

11 detection methods powered by AI forensics, math validation, and deep document analysis. From PDF tampering to AI-generated fakes — nothing gets past DocEnsure.

11Detection Methods
6AI Signals
99%Accuracy
Core Detection

PDF Tampering Detection

Detects when a PDF has been modified after creation using any editing tool — even if the visual changes are invisible. Our engine performs deep structural analysis to identify post-creation tampering that no human reviewer could catch.

What It Detects

  • Documents modified after original creation by any PDF editor
  • Hidden overlays used to conceal original content
  • Content modifications and rewritten document elements
  • Structural inconsistencies from post-creation editing
  • Tool signatures from all major PDF editing applications
  • Page-level insertion and deletion anomalies
Financial Validation

Salary Slip Math Validation

Cross-validates all salary components, totals, and deductions to detect amount manipulation. When someone edits a salary figure, the mathematical relationships between components break — and DocEnsure catches it instantly.

What It Detects

  • Inflated salary amounts where totals do not add up
  • Edited net pay that contradicts component breakdown
  • Deduction mismatches indicating forged base amounts
  • Missing or extra components that break standard payroll structure
  • Rounding inconsistencies from manual number editing
  • Year-to-date accumulation mismatches
AI / ML Detection

AI-Generated Document Detection

With ChatGPT, Midjourney, and DALL-E, anyone can create realistic-looking documents from scratch. Uses a proprietary multi-signal neural forensic engine to distinguish real scanned documents from AI-generated fakes — catching synthetic documents that fool the human eye.

What It Detects

  • Documents generated by ChatGPT, Midjourney, DALL-E, and Photoshop AI
  • GAN-generated synthetic images and composites
  • AI-assisted document editing and content generation
  • Entirely fabricated documents created from templates
  • Screen-captured or digitally reproduced documents
Typography Analysis

Font Forensics

Detects when edited text uses different fonts than the original document — a telltale sign of value manipulation. When someone edits a PDF, the replacement text almost never uses the exact same font as the original, and our engine catches this discrepancy.

What It Detects

  • Font mismatches between edited and original text regions
  • Unexpected font families that don't match the document's source application
  • Character spacing and rendering inconsistencies
  • Typography anomalies concentrated on financial or identity fields
  • Font substitution patterns characteristic of manual editing
Pixel-Level Analysis

Image Forensics

Four independent pixel-level forensic techniques detect manipulation that's invisible to the human eye. For scanned documents and image-based PDFs, our engine analyzes the image at a forensic level to catch even sophisticated edits.

What It Detects

  • Regions that have been edited, pasted, or retouched
  • Duplicated or cloned content within the same document
  • Spliced content from different source images
  • Inconsistent lighting, shadows, and compression patterns
  • Copy-paste of stamps, signatures, and text blocks
  • Content-aware fill and airbrushing artifacts
Cross-Document Intelligence

Auto Candidate Identity Linking

Automatically identifies candidates from document content using proprietary matching algorithms. When multiple documents are uploaded, DocEnsure intelligently links them to the correct candidate — even when names, dates, and identifiers appear differently across documents.

What It Does

  • Extracts identity information from all uploaded documents
  • Intelligently matches documents to existing candidate profiles
  • Handles name abbreviations, initials, and spelling variants
  • Detects identity discrepancies across documents
  • Flags mismatched identity fields for review
  • Creates new candidate profiles when no match exists
Scoring & Verdict

4-Level Verdict System

Every document receives a composite risk score based on all checks performed. The score maps to one of four actionable verdict levels, each with specific recommended actions for your team.

CLEAR

Verdict: Authentic

Document is authentic. No tampering indicators found across all checks. Safe to accept with no further action required.

REVIEW RECOMMENDED

Verdict: Minor Concerns

Minor concerns detected — some checks flagged low-confidence issues. Manual review advised before accepting.

SUSPICIOUS

Verdict: Tampering Likely

Significant tampering indicators found. Multiple checks flagged issues. Do not accept without thorough investigation.

FRAUDULENT

Verdict: Forgery Confirmed

Strong evidence of forgery. Multiple critical checks failed. Reject immediately and escalate.

Visual Analysis

Visual & Layout Analysis

Comprehensive visual and layout analysis catches anomalies that indicate physical or digital manipulation — from misaligned text to inconsistent backgrounds and colors.

What It Detects

  • Text alignment and spacing inconsistencies
  • Background and color anomalies in edited regions
  • Logo, stamp, and header positioning issues
  • Print quality and resolution inconsistencies
  • Overlay and paste-over detection
  • Watermark integrity validation
Metadata Analysis

Metadata Forensics

Every PDF carries hidden metadata that reveals its creation history. DocEnsure analyzes this metadata to detect documents that have been modified, recreated, or generated using unexpected tools.

What It Detects

  • Documents created or modified by unexpected applications
  • Suspicious creation and modification timestamps
  • Missing or stripped metadata common in forged documents
  • Inconsistencies between document properties and claimed origin
  • Digital signature and certificate anomalies
  • Document history indicating re-processing or recreation
Security Validation

Security Features

Government-issued and official documents contain security features like QR codes, watermarks, holograms, and official stamps. DocEnsure validates these security elements to confirm document authenticity.

What It Validates

  • QR code data integrity and digital signature verification
  • Watermark presence, integrity, and positioning
  • Holographic element detection on ID cards
  • Official stamps, seals, and signature placement
  • Microprint and security thread verification
  • Embossing and guilloche pattern detection
Compliance

Audit & Compliance

DocEnsure generates a complete, tamper-proof audit trail for every document verified. Our compliance module ensures your verification process meets regulatory requirements with full traceability.

What It Provides

  • Tamper-proof document integrity verification
  • Complete chain of custody tracking from upload to verdict
  • Full audit trail with timestamped verification events
  • Reviewer action logging (approve, reject, escalate)
  • Verification reports with unique identifiers
  • Data retention policy compliance tracking

Ready to detect document fraud?

Get in touch to see how DocEnsure's 11 detection methods can protect your organization from forged, edited, and AI-generated documents.

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