Home / Alternatives to Hyper Boost — Clipper Effect Apps Like Hyper Boost — Clipper Effect for iPhone and iPad
by Sketch Audio, LLC ★ 4.2 5 ratings Music Free Data updated 2026-09-06
Hyper Boost — Clipper Effect screenshots Ranked alternatives Showing 861–880 of 1,000 ranked alternatives.
Vision Music & Media Limited
★ 0.0 0 ratings Music $4.99 Data updated 2026-09-20
SEKAKU ELECTRON INDUSTRY CO., LTD
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Ian Stephenson
★ 0.0 0 ratings Music $9.99 Data updated 2026-09-06
Woodman's Immaculate Maple Syrup Studio
★ 0.0 0 ratings Music $34.99 Data updated 2026-09-06
Nikolozi Meladze
Mac keyboard becomes a MIDI controller.
The app transforms a Mac keyboard, trackpad, and mouse into a MIDI controller. It sends MIDI notes and control messages to DAWs and soft synths, allowing users to quickly capture musical ideas.
★ 0.0 0 ratings Music $29.99 Data updated 2026-09-25
Mark Neisser
★ 0.0 0 ratings Entertainment Free Data updated 2026-09-06
Oleksii Nezhalskyi
★ 0.0 0 ratings Music $0.99 Data updated 2026-09-06
Louis Marion
★ 0.0 0 ratings Music Free Data updated 2026-09-06
Kai Aras
★ 0.0 0 ratings Music $14.99 Data updated 2026-09-06
Jens Guell
★ 0.0 0 ratings Music $14.99 Data updated 2026-09-06
Q Acoustics Limited
★ 0.0 0 ratings Music Free Data updated 2026-09-06
MAKOTO INOMA
★ 0.0 0 ratings Music Free Data updated 2026-09-06
Nissin Electro Co.,Ltd.
★ 0.0 0 ratings Music Free Data updated 2026-09-06
DIRE Studio Kft.
★ 0.0 0 ratings Music $59.99 Data updated 2026-09-06
Shenzhen MOOER Audio Co., Ltd
★ 0.0 0 ratings Music Free Data updated 2026-09-06
Mitsuru Kuwajima
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
David Lars Guva
★ 0.0 0 ratings Music $19.99 Data updated 2026-11-08
Sound Apps Private Limited
★ 0.0 0 ratings Music Free Data updated 2026-09-06
Relacart Electronics Co., LTD.
★ 0.0 0 ratings Music Free Data updated 2026-09-17
Relacart Electronics Co., LTD.
★ 0.0 0 ratings Music Free Data updated 2026-09-18
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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