Extra Forensics
Advanced AI-driven forensic analysis for detecting document tampering, forgery, and AI-generated fakes.
AI-Powered Document Fraud Detection
Extra Forensics applies deep forensic analysis to every pixel of a document image, detecting manipulation techniques invisible to the human eye. From font inconsistencies to metadata anomalies, every potential signal of fraud is evaluated and scored.
- Detect digitally edited, reprinted, and AI-generated fake documents
- Font consistency analysis across all text regions of the document
- Metadata and EXIF data examination for file-level anomalies
- Security feature verification including holograms, watermarks, and microprint
- Detailed forensic report with per-check confidence scores
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Tampering Detection
Identify documents that have been digitally edited, spliced, or modified using pixel-level analysis. Detects even subtle changes to names, dates, and photographs.
Deep Fake Analysis
Detect AI-generated fake documents using adversarial detection models trained on millions of synthetic samples. Catches GAN-produced and diffusion-model forgeries.
Font Analysis
Verify font consistency and authenticity across all text regions of the document. Inconsistent fonts, kerning irregularities, and substituted characters are flagged automatically.
Metadata Examination
Analyse file metadata, EXIF data, and compression artefacts for signs of manipulation. Detects re-saves, tool signatures, and timestamp inconsistencies.
Print Pattern Analysis
Detect reprints, photocopies, and screen captures by analysing print patterns and moire effects. Distinguishes original documents from reproductions with high accuracy.
Security Feature Check
Verify the presence and integrity of holograms, watermarks, microprint, and UV features. Cross-reference expected security features against a comprehensive document template library.
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High-Risk KYC Onboarding
Add an extra layer of fraud detection to identity verification workflows handling high-value accounts or elevated risk profiles.
Insurance Claims Fraud Prevention
Detect manipulated supporting documents submitted with insurance claims to prevent fraudulent payouts.
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