BeaTunes 是一款具有自动地分析你的音乐收藏以帮助你创建更好的播放列表功能的 iTunes 应用组件。该软件可以分析 BPM(每分钟的节拍),歌曲开头和结尾静音以及彩色(根据音频光谱)显示给出的歌曲。一些数据通过 iTunes 存储,而一些通过 beaTunes 自身存储。此外,beaTunes 可以建议可以补充你的音乐收藏的专辑,显示音乐图表以及帮助你纠正印刷错误,错误流派等等。该软件还允许你博客有关选择的歌曲或者播放列表。
最初作为DJ,跑步者和舞者的BPM检测工具,已经成为周围最好的iTunes™库管理工具之一。 BeaTunes强大的检查功能使您可以以当今市场上任何其他软件无法比拟的方式清理iTunes跟踪数据。轻松查找错别字或歌手姓名的不同拼写,自动填写专辑歌手姓名,等等。不再需要R.E.M.和REM在iPod的艺术家列表中!汇编部分中不再隐藏任何专辑。
*自动确定BPM(每分钟心跳)并将结果存储在iTunes中
*使用声学指纹查找轨道元数据
*检查并修复您的音乐库(打字错误,类型错误,排序名称错误,文件丢失,也就是iTunes感叹号问题等)
*创建匹配列表,即基于一首或多首示例歌曲的播放列表
*对现有播放列表进行排序,以使匹配的歌曲彼此接替
*浏览音乐收藏中与当前选定歌曲匹配的歌曲
*发现不在您的音乐收藏中但会对其进行补充的专辑
*通过Amazon™专辑榜保持最新
*自动检测您的歌曲所在的音调
*按歌曲的音色分类
*根据歌曲的音量自动设置开始和结束时间
*使用您喜欢的播放列表或歌曲在blogger.com上创建博客条目
*将del.icio.us之类的标签添加到您的歌曲中
*检测已经存储在iTunes中的歌词的语言
*手动确定BPM并将结果存储在iTunes中
作业系统:Windows 7,8,8.1,10
What started out as a BPM detection tool for DJs, runners and dancers, has become one of the finest iTunes™ library management tools around. BeaTunes’ powerful inspection feature lets you clean up your iTunes track data in a way unrivaled by any other software on the market today. Easily find typos or different spellings of artists’ names, automatically fill in the album artist names, and much more. No more R.E.M. and REM in your iPod’s artist list! No more albums hidden in the compilations section.
* Automatically determine BPM (beats per minute) and store the result in iTunes
* Look up track metadata using acoustic fingerprints
* Inspect and fix your music library (typos, wrong genre, wrong sortname, missing file a.k.a the iTunes exclamation mark problem, etc.)
* Create matchlists, i.e. playlists based on one or more sample songs
* Sort existing playlists so that matching songs succeed each other
* Browse songs from your music collection that match the currently selected song
* Discover albums that aren’t in your music collection, but would complement it
* Keep up to date through Amazon™ album charts
* Automatically detect the tonal key your songs are in
* Categorize songs by their sound color
* Automatically set start and end times of songs based on their volume
* Create blog entries on blogger.com with your favorite playlist or songs
* Add del.icio.us like tags to your songs
* Detect the language of lyrics already stored in iTunes
* Manually determine BPM and store the result in iTunes
Operating System: Windows 7, 8, 8.1, 10
Home Page – http://www.beatunes.com/