Perceptual hashing

Trust & Safety tools for working together to fight digital harms.

pHash - the open source perceptual hash library

Identifying and removing near-duplicate images using perceptual hashing.

Python library to calculate the difference hash (perceptual hash) for a given image, useful for detecting duplicates

Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

A catalog of naturally occurring images whose Apple NeuralHash is identical.

vips-powered ruby gem to measure images similarity, implementing dHash and IDHash algorithms

Tool to detect (and get rid of) similar images using perceptual hashing (pHash lib)

Golang library for computing perceptual hashes of images

sharp based perceptual hash implementation

Lightroom plug-in to deduplicate images based on perceptual hash algorithms

A simple perceptual hash library in pure Go.

Calculate PhotoDNA hashes using Python

Dart package for comparing images. Find the difference between two images by using a variety of image comparison techniques.

[FAccT 2022] Source code for our paper "Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash".

CLI Java wrapper for the PhotoDNA library

Reverse image search utility based on perceptual hash algorithms

C/C++ replacement for the 'imagehash' python package

open source perceptual hashing library

Image comparison by hash codes