On-Device AI App Aims to Cut Mobile Photo Clutter Without Cloud Privacy Risks

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The average iPhone user accumulates over 5,000 photos, most of which are never revisited, creating a significant photo management challenge. An iOS app called Swipe Cleaner uses on-device machine learning — running locally via Apple's Core ML and Neural Engine — to classify photos as keep-worthy or deletable without sending data to external servers. The app detects screenshots, blurry shots, and duplicates using techniques like perceptual hashing, Laplacian variance, and OCR, while also flagging sensitive documents for user awareness. A swipe-based interface, similar to Tinder, allows users to quickly confirm AI-suggested actions, turning a lengthy cleanup task into a session that typically takes around five minutes. Users can reportedly identify 20–40% of their photos as deletion candidates, recovering gigabytes of storage while retaining meaningful images.

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