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Music Player : Songs, Videos

Music Player : Songs, Videos

Petko kochev

Utilities免费v3.2
App Store
评分

4.6

48,150 条评分

星级

★★★★★

最近更新

2026年5月7日

发布日期

2023年1月5日

更新内容

v3.2

- Performance Improvements

应用信息

开发者
Petko kochev
分类
Utilities
价格
免费
版本
3.2
App ID
1662272925

简介

Great App for music fanatics - Unlimited list of music to enjoy. - Manage your library (Playlists, Favorites and recently played) - Fast music search. - Lockscreen music controls . - Full Advanced in-app music player: repeat, shuffle... Subscription Terms and Pricing: You can subscribe to Pro Version to remove ads. App offers one auto-renewing subscriptions priced as follows: * Monthly Subscription ($4.99USD / Month) -This price is for United States customers. Pricing in other countries may vary and actual charges may be converted to your local currency depending on the country of residence - Payment will be charged to your Apple ID account at confirmation of purchase. - Subscription automatically renews unless unless it is cancelled at least 24 hours before the end of the current period - Your account will be charged for renewal within 24 hours prior to the end of the current period, and identify the cost of the renewal - You can manage and cancel your subscriptions by going to your account settings on the App Store after purchase - Any unused portion of a free trial period, if offered, will be forfeited when the user purchases a subscription - You may cancel a subscription during its free trial period via the subscription setting through your iTunes account. This must be done 24 hours before the end of the subscription period to avoid being charged. Please visit http://support.apple.com/kb/ht4098 for more information By using our app, you accept our Privacy Policy and Terms of use. Terms of use: https://sites.google.com/view/black-music-eula Privacy Policy: https://sites.google.com/view/black-music-app

下载量预测

专业 · 预览

预估总下载量

4.8M3.2M9.6M
保守估计乐观估计

78K

低 / 月

117K

预估 / 月

235K

高 / 月

基于48,150 条评分
假设评分率1.0%
应用年龄41 个月

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。