Perceptual Hash Generator Comparisons

FreeToolkit provides an online image hash generator that computes average hash, difference hash, and perceptual hash for image similarity comparison.

ImageMagixOnline offers a free image hash generator focused on dHash and aHash, with configurable bit sizes and copyable hexadecimal results.

Roman Zipp's tool computes a 64-bit DCT-based perceptual hash and explains Hamming distance for comparing visually similar images.

AI Photo Check provides an image hash calculator and describes pHash, dHash, and aHash as different perceptual hash approaches.

Oyyi offers an online tool for generating an image perceptual hash and includes a visual representation of the hash.

The pHash demo is an official interactive page for pHash algorithms such as DCT hash, radial hash, Marr/Mexican hat wavelet, and ConvNet options.

OpenCV's img_hash module documents multiple image hashing algorithms, including perceptual hash variants for computer vision applications.

Python ImageHash is an open-source perceptual image hashing module commonly used with Python image-processing workflows.

blockhash-js is an open-source JavaScript implementation of block mean value based perceptual image hashing, with notes for browser use via bundling.

imghash is a Node.js package for promise-based perceptual image hash calculation, with examples for comparing hash strings by distance.

Alt-Image-Hash is a JavaScript library for ImageData-based perceptual hashes including dHash, aHash, median hash, and block hash.

sharp-phash is a Sharp-based Node.js package that calculates a 64-character binary perceptual hash and includes a distance helper.

Jimp's image API includes a hash method that generates a perceptual hash and can output it in configurable bases.

Daft's image_hash function supports methods such as pHash, simple pHash, dHash, vertical dHash, aHash, wHash, crop-resistant hash, and color hash for image expressions.