How does Song Sweeper detect duplicate songs?

It scans your Apple Music library using metadata to identify duplicate songs across different albums, editions, and singles, allowing for manual review and selection.

Is my music data secure and private with Song Sweeper?

Yes, all processing is done on your iPhone, so your library data never leaves the device, ensuring privacy with no cloud uploads or account required.

Can I manually choose which duplicate songs to keep or delete?

Yes, you can expand duplicate groups and manually select which songs to delete or keep, ensuring accuracy and control over your library.

Does Song Sweeper work without an Apple Music subscription?

No, it requires an active Apple Music subscription to access and clean your music library.

Song Sweeper

Remove duplicate songs

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What is Song Sweeper

Song Sweeper is an iPhone app designed to clean and organize Apple Music libraries by identifying duplicate songs, merging split album editions, and surfacing tracks based on playback history. It features on-device processing for privacy, no cloud uploads, and aims to improve music recommendations through favoriting. The app is built for iOS with support for light and dark modes.

Key Features

Duplicate song detection and removal across albums and editions

Unification of split albums into single cohesive releases

Identification of least-played songs for library decluttering

Highlighting most-played tracks for favoriting to enhance recommendations

Privacy-first design with all data processed on-device

Use Cases

Apple Music subscribers with cluttered libraries seeking to remove duplicate songs
Music enthusiasts wanting to consolidate songs from multiple album versions into one release
Users aiming to clean up their library by deleting songs they no longer listen to
Individuals looking to improve personalized music recommendations by favoriting frequently played tracks

Why do startups need this tool?

Startups in the music tech or streaming industries can benefit from tools like Song Sweeper for managing and optimizing data libraries, which is essential for providing clean, organized content and improving user experience. The privacy-first approach helps build trust and aligns with data protection standards, crucial for startups handling sensitive user data.