beaTunes 4.5.2

Description

Version: 4.5.2
Mac Platform: Intel
Includes: Serial

OS version: 10.7.5
Processor type(s) & speed: Intel 64-bit
RAM minimum: 4GB
Video RAM:

Activation:
Use the included serial.

What's new in Version 4.5.2:

Error reporting for memory issues while performing an FFT has been improved, thus avoiding unnecessary crashes a few people have experienced under very high load.
Improved the detection of iTunes Library XML sharing.
Improved reporting of OutOfMemoryError in FFT on OS X.
Improved detection of turned off iTunes Library XML sharing.
Improved Last.fm image loading.
Fixed potential connection time out when creating match lists.
Fixed threading issue when committing solutions without delay.
Fixed unintended genre modification in multi song get info dialog.
Added API to ask iTunes to refresh metadata from file.
Modified timeouts to accommodate slow/large systems.
Updated japlscript to 3.1.2.


beaTunes is a full-featured music player and organizational tool for music collections.

How well organized is your music Library? Are your artists always spelled the same way?

Any R.E.M. vs REM? beaTunes can easily fix this and other problems with its unique inspection feature (license required for applying one-click solutions).

Could your last mix CD's song order use some improvement? Let beaTunes re-arrange your playlist for you! Always wondered how you could take advantage of the BPM (beats per minute) field? Let beaTunes fill in the blanks and help you while DJ'ing at your next party.

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

Navigate in songs semantically, i.e. segment to segment.
Automatically determine BPM (beats per minute).
Automatically determine the musical key your songs are in.
Sort existing playlists so that matching songs succeed each other.
Create matchlists, i.e., playlists based on one or more sample songs.
Browse songs from your music collection that match the currently selected song.
Find all songs iTunes marks with an exclamation mark and remove them from the library.
Find duplicates via acoustic fingerprinting.

More info: https://www.beatunes.com/en/