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beaTunes 4.5.3

2015-10-01   

BeaTunes
Name beaTunes 4.5.3
Size 182.2 MB
Created on 2015-09-23 12:42:13
Tracker http://109.235.50.166:2710/announce
Hash 86d35b27fda762e4140c5c52dc065b5fec4e32e5
Files beaTunes 4.5.3/beaTunes 4 SN.rtf (0.73 kB)
beaTunes 4.5.3/beaTunes-4-5-3.dmg (182.2 MB)

Description

Name: beaTunes
Version: 4.5.3
Mac Platform: Intel
Includes: Serial

OS version: 10.7.3
64 bit

Whats new:

Fixed exception after clearing ignored issues.
Fixed HiDPI drag-and-drop images.
Fixed error in BPM range-coercion arithmetic.
Fixed exclusion of audiobooks/iTunesU/home videos from analysis.
Added current heap memory use info to About dialog.
Added quick-search popup for sorted playlists.
Added visual indicator for computed ratings.
Improved sync of folder-based-library.
Improved built-in Help.
Improved AppleScript/COM error reporting.
Improved handling of digital booklets.
Improved different album artist inspection.


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/

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