Apps Like MUSE Multitrack for iPhone and iPad
MUSE Multitrack screenshots
Ranked alternatives
Showing 301–320 of 1,000 ranked alternatives.



Jam: Instant Song Creator
Dreamwalk Pty. Ltd.
Record vocals, select style, create music
Record vocals and select a musical style and tempo. The detects pitch, key, and structure, then auto-tunes the vocal and generates original backing music. Users can create and export original songs.






Amazing Slow Downer Lite
Roni Music
Down, repeat, and replay music
Adjust audio playback speed between 25% and 200% without pitch change. Repeat sections of music at original speed. Change tuning or musical key. Save and share modified audio files.


ShakeGuitar
newforestar co.,ltd
Interactive music system for guitar simulation.
The app simulates guitar playing for users of all skill levels. Shaking the device adjusts the melody difficulty in real-time, transitioning from soft backing to heavy soloing.


Voice Recorder + Voice Memos
Dream United, Ltd.
Record audio and convert to text real
Record audio with HI-FI lossless quality and noise reduction. Enhance human and choose mono or dual-channel recording. Add marks to highlight important sections. Convert recordings to text in real time.

Voice Changer - Sound Effects⁺
MILANKUMAR HIMMATBHAI KACHHADIYA
Transform with AI effects
Convert to various tones and effects using AI. Apply effects to recordings or text-to-speech. Save and share transformed audio files. Adjust pitch, speed, and volume settings. Sync with social media platforms for direct sharing.



Song AI: Make Your Own Music
SMEDIA PRO LTD
Compose with AI assistance
Create and lyrics using AI by describing a concept. Generate full songs or instrumental tracks. Adjust tempo, key, and mood. Export and share compositions directly.

Chipmunk Voice Changer Editor
AlgoTwist Ltd
Record and edit notes with effects
Record notes and apply predefined effects like slow, fast, helium, echo, and witness. Share notes or save them for later playback.


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