AI Image Authenticity Knowledge Center

Glossary — start here for definitions

The Glossary defines the core vocabulary: AI-generated images, deepfakes, image forensics, synthetic media, metadata analysis, Content Credentials, AI watermarking, and more. If a term in any other page is unfamiliar, it's very likely defined here.

Methodology — how PhotoProof Labs's own detection works

The Methodology section documents how PhotoProof Labs evaluates a specific image: which signals it checks, how it combines multiple signals into one confidence score, and how it handles the difference between false positives and false negatives. This is specific to PhotoProof Labs's own process, not the general technical landscape.

Research — the broader technical landscape

The Research Center covers technical topics independent of PhotoProof Labs's own product decisions: how generative models work, what provenance and watermarking standards can prove, and other technical explanations aimed at readers who want the underlying science, not just how PhotoProof Labs applies it.

Benchmarks — tested performance

The Benchmark Center publishes PhotoProof Labs's own evaluation framework and results, broken down by generator and risk category rather than one blended accuracy number, following the honesty standard: real results only, with the test scope and methodology stated clearly, and no fabricated numbers.

Provenance & Trust — standards, not just detection

The Provenance & Trust Platform explains cryptographic provenance standards (C2PA/Content Credentials) and generation-time watermarking (SynthID) — what they prove, what they cannot prove, and why detection remains necessary for the majority of images that carry neither signal.

Comparisons — choosing the right tool

The Comparisons section includes both PhotoProof Labs's own internal tool comparisons (AI detector vs. deepfake detector, vs. fake photo detector) and honest comparisons against other AI detection and moderation products, so you can evaluate fit before committing to any tool, including PhotoProof Labs's own.

Where should a complete beginner start?

Start with the Glossary for vocabulary, then follow the AI Image Verification Learning Path, which walks through definitions, methodology, benchmark evidence, and provenance standards in a suggested order.

I already understand AI detection — where should I go?

Go directly to Methodology to understand PhotoProof Labs's own process, or Benchmarks for tested results. If you're comparing tools, start with the Comparisons section.

Is this page itself a tool, or just navigation?

The Knowledge Center is navigation and orientation — to actually analyze an image, use the Analyze tool linked below.