4.3
54 条评分
★★★★☆
2026年1月30日
2019年8月27日
更新内容
v0.106.0- Fixed bugs (thanks to a user who reported the issue!) Thanks to the user who has contacted me for the bugs If you like the app, don't forget to leave a review.
应用信息
- 开发者
- Nobutaka Yuasa
- 分类
- Music
- 价格
- 免费
- 版本
- 0.106.0
- App ID
- 1475353901
简介
Music Player+ is a simple offline audio player with a 10-band equalizer. Create a playlist from Music App's songs or Files App's audio files. Specifications & features - Add music files from Music App or Files App - Songs from Music App must be downloaded to play in this app - Songs from Music App are grouped & listed by album - Songs need to be none-DRM - Available audio format: - aifc - aiff - caf - flac - m4a - mp3 - wav - 10-band equalizer - 24 presets - Acoustic - Bass Booster - Bass Reducer - Deep - Flat - Hip-Hop - Latin - Loudness - Lounge - Piano - R&B - Small Speakers - Spoken Word - Treble Booster - Treble Reducer - Vocal Booster - Electronic - Classic - Jazz - Dance - Pop - Rock - Perfect **recommended** - Eargasm Explosion - You can create custom settings - Edit metadata for audio files in Files App - If Music Player is not showing in Files App, try restart the device; restarting might fix About creating a playlist: - Copy audio files to this app's folder by adding "Files(copy files)" or using Files App - If files are under this app's folder, add audio files by "Files(reference files)" - If files are referenced outside of this app's folder, the app may not be able to access the files after updating OS - Files(reference files) does not copy the original file; Files(copy files) does copy the file under this app's folder If you're using wired headphones, my recommended EQ is Perfect; for wireless headphones, sounds may be better if preamp is reduced. If you find a great EQ setting, please share the setting in review or contact from the app's web page. Don't forget to write the name of the setting, I might add to preset. If you like the app, leave comments in review or rate; thanks Hope you enjoy!
下载量预测
预估总下载量
33
低 / 月
49
预估 / 月
94
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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