Python bindings for the Czkawka Rust library, a fast image similarity engine
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Updated
Dec 8, 2025 - Python
Perceptual hashing is the use of an algorithm that attempts to fingerprint multimedia for identification and comparison. Perceptual hashes of two similar multimedia should be similar.
Python bindings for the Czkawka Rust library, a fast image similarity engine
Perceptual hash storage protocol for inline-snapshot
Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 256-bit comparable hash value for any video.
Perceptual Diff pdiff is an fast image comparison utility that makes use of a computational model of the human visual system to compare images.
Logo Similarity - Extract and group 3,416 websites by logo similarity without ML clustering. Achieves 97.28% extraction rate and ~98% grouping precision using Union-Find + LSH.
Numerous converters and image tools combined into one simple CLI. Easily convert and refine large batches of images directly in your terminal. Fast, simple and easy.
高效的Python图像查重工具,支持百万级图片文件的重复检测。集成多种算法包括MD5哈希、感知哈希(dHash/pHash/aHash)和C++加速库,可识别完全相同、分辨率调整、部分截取和水印变更的重复图像。
Django backend for uploading videos/images with automatic HLS streaming, thumbnail generation, and perceptual hashing — powered by Celery.
Identifying and removing near-duplicate images using perceptual hashing.
Calculate PhotoDNA hashes using Python
Music Detection Application that uses audio fingerprinting and perceptual hashing. Users can add their custom database with one click.
[FAccT 2022] Source code for our paper "Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash".
Python library to calculate the difference hash (perceptual hash) for a given image, useful for detecting duplicates
A Perceptual Hashing program for Images
Detect duplicate images and view the distinct in a web app
Python bindings to JImageHash Java library
Fast JAX implementions of image hashing methods
find similar/duplicate images
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
A trivial approach for near-duplicate detection of audios