Clean Wave° app icon

Apps Like Clean Wave° for iPhone and iPad

Eject water and dust from speakers

Wave uses high-frequency sounds to remove water and dust from iPhone and iPad speakers. Users can initiate cleaning sessions, check waterproof status, and receive alerts for hardware issues.

by Murat Cetin★ 4.5580 ratingsUtilitiesFreeData updated 2026-09-06

Ranked alternatives

Showing 601–620 of 1,000 ranked alternatives.

  1. Inwa ride app icon

    Inwa ride

    Shenzhen Innosystem Technology Limited

    ★ 3.03 ratingsLifestyleFreeData updated 2026-09-06
  1. LOVE WAVE app icon

    LOVE WAVE

    Zhongkexianyanquanximei Technology Beijing Co., Ltd.

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. beQUIET app icon

    beQUIET

    Jiulong Zhao

    Mute internal speakers, use headphones.

    The app mutes a Mac's internal speakers while allowing audio through headphones. It is designed for users in environments like schools, libraries, and public places who need to hear sound without disturbing others.

    ★ 0.00 ratingsEducation$9.99Data updated 2026-09-21
  3. GG Tool app icon

    GG Tool

    Gonggam Sensors Co., Ltd.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
  4. U hommie app icon

    U hommie

    Shenzhen Dbit Network Equipment Co., Ltd

    Record video, share instantly, secure home

    Record video and photos with high-definition imaging. Use AI motion detection to alert users of activity. Engage in two-way audio conversations. Control the camera remotely via a mobile . Monitor and manage security settings from anywhere.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
  5. NORA-NF3 app icon

    NORA-NF3

    IFAM GmbH Erfurt - Ingenieurbuero fuer die Anwendung der Mikroelektronik in der Sicherheitstechnik

    ★ 3.03 ratingsUtilitiesFreeData updated 2026-09-12
  6. PrintInd app icon

    PrintInd

    Shenzhen Eve-Innovations Technology Co., Ltd.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.