Home / Alternatives to Muzz - Audio Spectrum Analyzer Apps Like Muzz - Audio Spectrum Analyzer for iPhone and iPad
by Amit Nadir ★ 1.0 2 ratings Utilities $5.99 Data updated 2026-09-06
Muzz - Audio Spectrum Analyzer screenshots Ranked alternatives Showing 881–900 of 1,000 ranked alternatives.
John Jefferis
★ 0.0 0 ratings Entertainment Free Data updated 2026-09-15
wonwoo park
★ 0.0 0 ratings Photo & Video $0.99 Data updated 2026-09-06
ibrahim karagz
★ 0.0 0 ratings Utilities $1.99 Data updated 2026-09-06
EyeOS Store Inc.
★ 0.0 0 ratings Utilities $0.99 Data updated 2026-09-06
Edwin Olson
★ 0.0 0 ratings Music Free Data updated 2026-09-06
Motionics, LLC
★ 0.0 0 ratings Productivity $500.00 Data updated 2026-09-09
Akshar Jain
★ 0.0 0 ratings Utilities $0.99 Data updated 2026-09-06
钊辰 王
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Rainbow Audio GmbH
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Rainbow Audio GmbH
★ 5.0 1 ratings Utilities Free Data updated 2026-09-13
STRAXALLIANCE Technology Co., LTD
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Takashi Shikone
★ 0.0 0 ratings Music Free Data updated 2026-09-21
BOGAZICI YAYINLARI ANONIM SIRKETI
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Supipat Rukbua
★ 0.0 0 ratings Music $14.99 Data updated 2026-09-13
PRZEMYSLAW BARSKI
★ 5.0 1 ratings Music $9.99 Data updated 2026-09-06
Ronald Nicholson
Tune instruments with visual feedback
Tune musical instruments using a built-in microphone. Display frequency readings and animated strobe visuals for precise tuning. View waterfall panes for detailed pitch analysis. Supports multiple tuning modes and calibration options.
★ 3.0 1 ratings Music $19.99 Data updated 2026-09-08
娇 李
★ 0.0 0 ratings Photo & Video $0.99 Data updated 2026-09-06
Stuart Woolley
★ 0.0 0 ratings Reference $0.99 Data updated 2026-11-02
Manicgrin Media Ltd
★ 0.0 0 ratings Health & Fitness $3.99 Data updated 2026-09-06
Grove OU
★ 0.0 0 ratings Utilities $0.99 Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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