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Research·Feb 19, 2026· 13 min read

Why we built our own perceptual hash

pHash and dHash break on AI-upscaled images. Here is the algorithm we ship instead.

By Dr. Ananya Roy

A perceptual hash for the AI era

Classical perceptual hashes (pHash, dHash, aHash) were designed to survive JPEG compression and minor rescaling. They were not designed to survive a diffusion-based upscaler that rewrites every pixel while preserving semantic content.

Our hash, internally called PHash-V, operates on a learned embedding rather than raw pixels. It is designed to collide on semantic content (same scene, different generation seed) and not collide on cosmetic edits (crop, colour-grade, watermark removal).

#model#benchmark#metadata

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