Perceptual Hashing Python Packages

dhash

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

czkawka

Python bindings for the Czkawka Rust library, a fast image similarity engine

winnow-media

Winnow your media library — organize photos and videos, detect duplicates, and keep the best copies.

python-libphash

A Python binding for the libphash C library that provides efficient computation of perceptual image hashes for similarity detection.

imagefp

Decide whether two images (raster or EMF metafile) depict the same picture, tolerant of re-encoding, alpha-flattening, cropping, and metadata churn.

imgdd

Performance-first perceptual hashing library; perfect for handling large datasets. Designed to quickly process nested folder structures, commonly found in image datasets.

imgdupes

Identifying and removing near-duplicate images using perceptual hashing.

rosetta-squint

Cross-language byte-exact perceptual image hashing — same hex across Python, Rust, Go, Java, JS/TS, and Swift for the same input bytes.

inline-snapshot-phash

Perceptual hash storage protocol for inline-snapshot

rosetta-squint-hash

Cross-language byte-exact perceptual image hashing — same hex across Python, Rust, Go, Java, JS/TS, and Swift for the same input bytes.