perceptual-hash
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.
Here are 17 public repositories matching this topic...
Calculate PhotoDNA hashes using Python
-
Updated
Mar 20, 2025 - Python
CLI Java wrapper for the PhotoDNA library
-
Updated
Nov 11, 2025 - Java
Perceptual hashing command-line tool
-
Updated
Jan 28, 2026 - Haskell
audio perceptual hash extraction library
-
Updated
Oct 31, 2021 - C
A library of perceptual hash algorithms (aHash, dHash, pHash, wHash).
-
Updated
Jan 14, 2026 - Clojure
Here will be C++ library for perceptual image hashes.
-
Updated
Aug 17, 2020 - C++
Android librarry (kotlin) : Image (JPEG, BMP) comparison (perceptual hash algorithm)
-
Updated
Dec 15, 2022
Let's find out duplicate images with Perceptual Hashing algorithms
-
Updated
Feb 7, 2025 - C#
Generate content-based image hashes on Node.js.
-
Updated
Apr 13, 2023 - TypeScript
Python tools for cleaning up large photo libraries - remove duplicates, screenshots, and similar images with a browser-based review UI
-
Updated
Feb 26, 2026 - Python
PHP Compare Image (algoritm Average Hash, Simple Hash)
-
Updated
Nov 17, 2024 - PHP
Lightning-fast Go library and CLI for visual and structural PDF comparison
-
Updated
Jan 8, 2026 - Go
Batch-rename and deduplicate photos and videos using EXIF/QuickTime metadata, perceptual hashing, and Apple Live Photo pairing.
-
Updated
Apr 1, 2026 - PHP
从PPT录屏视频中提取不相似帧,从而逆向构建PPT各页
-
Updated
Oct 11, 2025 - C++
Go library & CLI for computing 64-bit perceptual image hashes (pHash).
-
Updated
Feb 20, 2026 - Go
- Followers
- 13 followers
- Website
- github.com/topics/perceptual-hashing
- Wikipedia
- Wikipedia