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pHash - the open source perceptual hash library

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

Identifying and removing near-duplicate images using perceptual hashing.

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

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

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

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

A simple perceptual hash library in pure Go.

sharp based perceptual hash implementation

Calculate PhotoDNA hashes using Python

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

CLI Java wrapper for the PhotoDNA library

Reverse image search utility based on perceptual hash algorithms

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

Image comparison by hash codes

Perceptual hashing of images in Elixir

A collection of algorithms for comparing the similarity of images using perceptual hashes