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Ringtones for iPhone: Music

Ringtones for iPhone: Music

Jerome Melis

Music免费v2.4.7
App Store
评分

4.7

5,728 条评分

星级

★★★★★

最近更新

2026年4月1日

发布日期

2020年12月16日

更新内容

v2.4.7

- Libraries updated - Code improved Thanks for your loyalty and please take a moment to review our app on the App Store!

应用信息

开发者
Jerome Melis
分类
Music
价格
免费
版本
2.4.7
App ID
1544913773

简介

Do you want new popular ringtones or ringtone remix? Ringtones for iPhone is best app for you. Lots of songs with a collection of the best and most popular ringtones for iPhone. More than 900 popular ringtones and new music in our app. You can set them as your ringtone, message, alarm, notifications. The ringtones are selected carefully with uniqueness and diversity: funny ringtones, world ringtones, ringtones remix, animals ringtones, message tones, pop, electronic, hip-hop, dance, rap, country, oriental, hispanic, funny saying, alarm... It's so easy for you to find your favorite ringtones through top download, new ringtones or search trends. This application is totally free. Features: - Own more than 900 free ringtones - Easily finding the hottest ringtones on top download, new ringtones and search trend - Create your own ringtones based on your music library - Download ringtones to re-listening without internet - install your ringtone easily without computer - You can request a new ringtone - Fast app with low memory and easily to use LEGAL INFO: Sounds & music downloads used in Ringtones Songs app are under public domain license and/or Creative Commons’ license, credited inside the app. Please report bugs at bopeniang.ltd@gmail.com We value your feedback, so if you’re enjoying the app, please leave a rating and a review. Also, feel free to leave comments suggesting what you'd like to see in the next update. Terms of Use: https://www.ringtonessongs.ovh/terms-of-use.html Privacy Policy : https://www.ringtonessongs.ovh/privacy-policy.html

下载量预测

专业 · 预览

预估总下载量

424K286K818K
保守估计乐观估计

4K

低 / 月

6K

预估 / 月

12K

高 / 月

基于5,728 条评分
假设评分率1.4%
应用年龄66 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。