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Musivibe - Enjoy Offline Music

Musivibe - Enjoy Offline Music

Chengdu Feixiao Tech Co., Ltd.

Entertainment免费v1.1.7
App Store
评分

4.4

1,304 条评分

星级

★★★★☆

最近更新

2026年5月7日

发布日期

2024年11月19日

更新内容

v1.1.7

We've fixed some bugs.

应用信息

开发者
Chengdu Feixiao Tech Co., Ltd.
分类
Entertainment
价格
免费
版本
1.1.7
App ID
6738373534

简介

Musivibe is a feature-rich and user-friendly offline music player crafted to enhance your listening experience. With its innovative sound categorization and intuitive design, Musivibe ensures you can enjoy your favorite tunes and sounds effortlessly, anytime and anywhere Key Features: - Extensive Sound Categories: Discover a wide range of curated options, including Rain, Ocean Waves, Nature, Work, Cheerful, Zen, Instruments, and Animals, perfectly suited for every mood and moment. - Personalized Playlists: Create and organize custom playlists that match your preferences or activities, making your music experience truly unique. - Seamless User Interface: Navigate with ease through a sleek and intuitive design, offering smooth functionality at your fingertips. With Musivibe, elevate your music and sound experience to a new level. It’s your ultimate companion for relaxation, focus, or simply enjoying life’s soundtrack. Premium Provides: No Ads & Get all vip functions Musivibe_lifetime_vip: $39.99 musivibe_yearly_vip:$29.99 musivibe_weekly_vip: $2.99 If you subscribe : The payment will be deducted from your iTunes Account upon purchase confirmation. The subscription will automatically renew unless you disable auto-renewal at least 24 hours before the current billing cycle ends. Your account will be charged for the renewal within 24 hours before the current period expires, based on your chosen plan. You can manage subscriptions and auto-renewal in your Account Settings after purchase. Terms of Service: http://musivibeplayer.top/terms.html Privacy Policy: http://musivibeplayer.top/privacy.html

下载量预测

专业 · 预览

预估总下载量

97K65K186K
保守估计乐观估计

4K

低 / 月

5K

预估 / 月

10K

高 / 月

基于1,304 条评分
假设评分率1.4%
应用年龄18 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。