4.6
1,417 条评分
★★★★★
2026年2月14日
2023年9月29日
更新内容
v2.4Improved headphone cleaning performance. Updated the speaker cleaning algorithm for higher-quality, gentler cleaning. Increased speaker testing accuracy.
应用信息
- 开发者
- Yury Shildiner
- 分类
- Utilities
- 价格
- 免费
- 版本
- 2.4
- App ID
- 6462873536
简介
SPEAKER CLEANER - BLOWER: Remove dust & particles with sound waves – NO DISASSEMBLY OR REPAIRS NEEDED. BLOW WATER OUT OF THE SPEAKER . Refresh sound in headphones & speakers. ● Analyze, calibrate and care for phones speakers & headphones - in one app. Features: ◆ SPEAKER CLEANING ● Automatic cleaning mode (moisture/dust removal tone) ● Manual cleaning tone activation ● Regular cleaning reminders ∞ SOUND TESTS SPEAKERS ‣ Basic Test – quick signal check without settings ‣ Advanced Test – analyze: ► Bass performance ► Stereo effect ► Volume and distortion levels ⌘ TONE GENERATOR ■ Frequency range: 10-20,000 Hz ■ Full frequency and signal level control ○ Perfect for technical speaker testing ⁕ SOUND PERSONALIZATION ‣ Sound optimization for 100+ headphone models ‣ Hearing adaptation ► Gain and frequency adjustment ► Individual settings per ear ◆ AUTOMATIC DEVICE TEST ● Premium ● ‣ Auto frequency response test (headphones) ‣ Auto frequency response test (speakers) ► Bass stress test ► Stereo sound stress test ● 11 different sound type tests ● Device model identification ● Left/right channel diagnostics ● Test history and results saving ∞ SPEAKER CLEANING ● Premium ● ■ Automatic speaker cleaning ■ Automatic headphone cleaning ■ Unlimited amount of cleaning ○ Cleaning scenarios for speakers ○ Cleaning scenarios for headphones ⌘ NOISE METER ● Premium ● ► Noise level measurement (dB) ► Video-recorded measurements ► Video registration when detecting noise ● Frequency visualization ● Measurement history and averages Subscription Details: ► Unlock ALL premium features. ► Choose from weekly, monthly, or annual plans. ► Manage or cancel anytime from your App Store account settings. ► Auto-renewals can be turned off 24 hours before the current period ends. Privacy policy: http://yshildiner.com/speaker/privacy-policy Terms of use: http://yshildiner.com/speaker/terms-of-use
下载量预测
预估总下载量
3K
低 / 月
4K
预估 / 月
9K
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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下载数据为预估值 · 每6小时更新