Apps Like A/B Listener by Wavecolab for iPhone and iPad
Ranked alternatives
Showing 101–120 of 1,000 ranked alternatives.


Boost Audio Voice Reduce Noise
Inverse.AI
Clean and video with AI
Remove background from and video files using AI-powered cancellation. Adjust volume levels and apply equalization. Export cleaned files in various formats and share directly.

CoreSound
EKVITI ALGORITM, AO
Analyze audio data with AI
Analyzes audio tracks using AI and neural networks to assess sound quality. It compares tracks to top Apple Music songs and provides a score based on audience perception. Users can evaluate their music against industry standards.

The Colorado Sound
Community Radio for Northern Colorado
Play music, share stories, connect
Stream music with a diverse mix of new and regional tracks. Play independent music and explore deep cuts. Support the station through donations. Access shows and schedules for local content.







Dev Utils
Ryan Fielder
Stay updated with new releases and betas
Stay up-to-date with iOS, iPadOS, watchOS, and tvOS betas and releases. Check Xcode release notes, macOS requirements, and included SDKs. Receive notifications for new versions and beta updates.


Desktop Browser Plus
Soroush Chehresa
Load websites in mode
Load websites in mode with full features. Switch between and mobile views with one tap. Access all site functionalities without mobile restrictions. Browse smoothly without interruptions.



MXBus
Andreas Keldenich
Control monitor mix with iOS device
Control monitor mix levels for Behringer X32/X-Air and Midas M32/M-Air consoles. Adjust send levels for channels, aux tracks, and effects returns. Reorder channels and save mixes with namable groups.

KCBI
FIRST DALLAS MEDIA, INC.
Stream songs and listen to Bible teachings
Stream live radio broadcasts and on-demand podcasts featuring Bible teachings and encouraging messages. Access free resources for spiritual growth. Listen to uplifting music and follow daily devotional content.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.