Apps Like Lover for iPhone and iPad
Love songs with a click and skip
Mark songs as loved with a single click from the menu bar. Secondary-click skips the menu to love the current song instantly. Track loved songs in a dedicated playlist. Syncs with music players to identify and love songs automatically.
Lover screenshots
Ranked alternatives
Showing 761–780 of 1,000 ranked alternatives.



100.3 Cincy's R&B Station
Urban One, Inc.
Cincinnati's R&B Station In Pocket
The app provides the smoothest mix of R&B classics, today's selected, and urban adult contemporary hits from Cincinnati. Users can listen to timeless R&B and soul, syndicated shows, and local selected.

Tunes Time Counter
Francois Lamboley
Track music and sort tracks by play
Tracks music playback by scanning iTunes library and multiplying track lengths by listen counts. Sorts tracks by total listened to identify most frequently played songs. Export data for analysis.

KraOK
MAIN TECHNOLOGY CO., LTD.
Select songs easily from iPhone.
The app allows users to select songs directly from their iPhone. It synchronizes song lists over the network and provides access to top charts.


Cat Radio
TERO ENTERTAINMENT PUBLIC COMPANY LIMITED
Independent music station live 24/7
The app provides listeners with 24-hour access to Cat Radio's live broadcast. Users can listen to music, view song titles and artists, and control playback and volume.








KUMX Mix 106.7 FM
Doug Stannard
Stream Adult Contemporary music on-demand
Listen to Adult Contemporary music streamed online. Control playback with skip, pause, and volume features. Access song lyrics and artist information. Share songs via social media or messaging.


BlueMusic - "Open local music in other apps"
冠兰 姜
Open local music in other apps
The app allows users to open and play music files from various sources, including mail and other applications. It supports importing songs from the music library and managing playlists, with background playback functionality.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.