BeaTunes - analyzes the songs, thus determining their tempo and style. With it you can automatically create new playlists, based on the information received. Unfortunately, the program can not handle music tracks, are protected by means of digital copyright (DRM). With all the other files (eg copied from a CD-ROM) beaTunes permits such action: automatically detect tempo and keep information about it in iTunes; sort existing play lists, ensuring the most euphonious transitions between songs, create playlists based on one or several songs, browse your music library to find files that are compatible with the selected song; automatically determine the beginning and ending songs, based on the loudness.

Unfortunately, the program can not handle music tracks, are protected by means of digital copyright protection (DRM). With all the other files (for example, copied from CD-ROM) beaTunes permits such action: automatically detect tempo and keep information about it in iTunes; sort existing play lists, ensuring the most euphonious transitions between songs, create playlists based on one or more songs, browse your music library to find files that are compatible with the selected song; automatically determine the beginning and ending songs, based on the volume.

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.

beaTunes can even help you to find the titles of tracks that have no artist or title associated with them.

And once you have a clean collection, the built-in playlist generator works even better.

Here are some more examples of what you can do with beaTunes:

* 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 aka 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

OS: WinAll, MacOS
Language: English