Apps Like Moose Vinyl for iPhone and iPad
Moose Vinyl screenshots
Ranked alternatives
Showing 21–40 of 1,000 ranked alternatives.
Superfan, the social music app
Sparky Tech, Inc.
Track concerts, share photos, log vinyl
Track weekly listening history with a generated recap each Friday. Log concerts and festivals with photo sharing and friend tagging. Manage a vinyl collection with details on signed copies.
Record Scanner - Vinyl & CD
ARTUR DROZDZ
Scan covers, barcodes, find songs
Identify records by scanning covers, barcodes, or catalog numbers. Add records to collection or wishlist. Check market value and track additional details. Search for songs and manage collection data.
107.9 The Fox
Radio FM Media, Inc.
Classic Rock That Really Rocks!
The app provides Classic Rock music for Fargo-Moorhead. It features Bison Football and Men's basketball programming.
KicksOnFire: Shop + Local Heat
KICKSONFIRE.COM LLC
Shop sneakers, track releases, win free shoes
Track and sneaker news. View price guides with interactive charts. Set alerts for new drops. Win free shoes weekly. Shop sneakers with up-to-date information and community insights.
StereoX
Ensyne Technology
Play music, explore, and organize your library
Browse music collections in 3D with interactive navigation. Access and manage Apple Music library, playlists, and albums. Sync with iTunes for downloads and deletions. Add music to your library through Apple Music.
iCollect Music: Vinyl Discogs
iCollect Everything, LLC
Manage music and albums with sync across
Manage and inventory music items such as CDs, records, cassettes, and digital files. Add items via scanning or searching. Sync across devices and platforms. Create and organize lists. Track ownership and desired items.
Moose FM 100.1 Fort St. John
663975 B.C. Ltd.
Listen to radio and read news updates
Listen to local radio station FM. Engage with live conversations and interact during broadcasts. Access news from Energeticcity.ca. Send messages and enter contests for prizes.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.