Apple confirmed the end of iTunes during WWDC 2019, the company's developer event taking place June 3-7 in California, USA. Beginning with macOS Catalina (10.15), the traditional media app will be shut down and replaced with dedicated apps for TV, Music, and Podcasts on Apple's computer operating system. The initiative, which follows the logic that is already in place on iOS, puts an end to the program that was born 18 years ago as a media player and store.
Remember that, at the time, popular software revolutionized the way people bought music by promoting access to MP3 files via the Internet. ITunes was a key player in the popularization of older iPods as well as early generations of the iPhone. In the following lines, understand what changes with the end of the application.
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TV, Music and Podcasts Apps Replace iTunes with Cleaner Interfaces Photo: Divulgao / Apple
Shutting down iTunes also means changes in the way users sync their iPhone, iPod, or iPad with their computer. From the new macOS, the device synchronization process will be integrated into the system through Finder.
New applications that replace iTunes are more focused on individual tasks and feature modern interfaces. The music player, for example, will be able to analyze what the user consumes to indicate new tracks and artists. The Podcasts app also has a similar tool, with the possibility to suggest to the listener other contents based on what he already listens to.
End of iTunes: Apple Announces App Separation on Music, Podcasts, and TV Photo: Release / Apple
The TV app is Apple's platform for streaming services available on iOS and Apple TV's tvOS. More than just a video player, the app will be the official interface for streaming services, featuring material from channels like Showtime and HBO, as well as Apple's exclusive content, such as the For All Manking series, which was also announced during the WWDC. The app supports 4K video with HDR and Dolby Atmos compatible.
Apple also claims that the new apps will have a smart search tool. Based on machine learning, apps create a result hierarchy more consistent with the user's profile.
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