Dup

The application scans a macOS folder hierarchy to locate visually similar photos and videos using AI‑driven perceptual hashing and frame‑level fingerprinting, matching content across different codecs, resolutions, and containers. It also runs on‑device face detection to identify every occurrence of a person in the library, allowing bulk removal of that individual’s media. In addition, it analyzes image quality to flag blurry, dark, or over‑exposed photos and provides a continuous monitor that alerts when new duplicates appear.

Beyond media management, the tool cleans development caches such as Xcode DerivedData, npm node_modules, Cargo targets, and pip caches, reclaiming storage by deleting unused files. All processing is performed locally, keeping user data private. The interface follows a simple workflow: drop a folder, review the generated matches, and delete unwanted items in a single step.

Target users are macOS owners who need to organize large photo/video collections, remove personal images, and free space occupied by development artifacts, especially when other duplicate‑finder utilities miss hidden or transformed copies.