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Spotlight Drums ~ The drum set formerly known as 3D Drum Kit

Spotlight Drums ~ The drum set formerly known as 3D Drum Kit

Pocketglow LLC

Music免费v2.2
App Store
评分

4.5

174 条评分

星级

★★★★★

最近更新

2016年6月30日

发布日期

2009年7月13日

更新内容

v2.2

This update from Apple will improve the functionality of this app. No new features are included. • Fixed a bug that caused the wrong drum to be triggered if you had “Display Zoom” enabled on your device. • Fixed a bug that caused audio glitches after switching drum kits. • Fixed a crash that occasionally occurred if you rapidly tapped the drums while switching drum kit.

应用信息

开发者
Pocketglow LLC
分类
Music
价格
免费
版本
2.2
App ID
322122402

简介

Spotlight Drums puts you on center stage, right where you belong. Rock out on a fully animated 3D drum kit on a real stage. Shine as the color-changing, moving spotlights highlight your every move. Have fun playing the only drum app that truly makes you feel like a star. Get on stage and take your place in the spotlight! "Equal parts style and substance […] a nice demonstration of the iPhone's graphics, audio and interface capabilities. iLounge Rating: A-." -- iLounge.com FEATURES • Your choice of 10 GREAT drum kits, each with a Bass Drum, Snare Drum, 3 Tom Drums, a Hi-Hat, 2 Crash Cymbals, a Ride Cymbal and a Cowbell. • Fully animated, gorgeous 3D graphics. • Moving, color-changing stage lighting and fog effects. • Drag, zoom and position your drum kit however you like. • Play the drum kit from any angle you desire. • Perform drum rolls with a simple swipe. ADDITIONAL PRO VERSION FEATURES • Access to all 10 drum kits. • Record and save your performances. • Export your recordings as MIDI files via iTunes File Sharing. • Watch your drum kit play itself as it plays back your recordings! • Access to 50 built-in, loopable demo beats in a variety of different genres. • Adjust the playback tempo of your recordings and the built-in demos.

下载量预测

专业 · 预览

预估总下载量

13K9K25K
保守估计乐观估计

42

低 / 月

63

预估 / 月

121

高 / 月

基于174 条评分
假设评分率1.4%
应用年龄205 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。