• Method 1: Machine learning classification
  • Challenge 1: Classifiers can't generalise across generators
  • Challenge 2: The statistical gap is closing
  • Method 2: Explicit declaration
  • The shared limit of the Explicit Declaration method
  • Limit 1: Edits that bypass declaration systems
  • Limit 2: No declaration, no signal
  • Method 3: Forensic analysis
  • Signal 1: C2PA provenance validation
  • Signal 2: High-pass filter residual
  • Signal 3: Wavelet high-frequency energy ratio
  • Signal 4: NSS Benford analysis
  • Signal 5: Error level analysis
  • Signal 6: Metadata absence profile
  • Why signal independence matters
  • Where forensic detection has limits
  • Coming soon: C2PA cryptographic chain verification
  • Try it on any image
  • The honest picture
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Month: July 2026

Blurred forest scene with a heat map overlay showing where something has been possibility modified
Blog / Digital Forensics · 1 July 2026

How to Forensically Detect AI-Generated Images — No Detection Model Required

Three methods now exist for identifying AI-generated images. Two of them fail when the creator says nothing. This article covers all three — and goes deep on the forensic signals that work regardless of what any label says.

Recent Posts

  • How to Forensically Detect AI-Generated Images — No Detection Model Required
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  • How to tell if a photo has been edited

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