The topic comes up here from time to time, maybe I have overlooked something, but I would like to ask something about it again:
Is it possible to also have playlists from streaming services analyzed collectively? So far, there is only the option to select this individually.
Apparently the analysis data is not synchronized via iCloud. In any case, the analysis runs through again completely on another device (iPad, Mac), although this has already been done with the songs or playlists in question.
Hi @Chris_R, can you please clarify your suggestion(s) with more details?
Do you want to analyze multiple streaming playlists or multiple streaming songs at once?
a. If it’s multiple playlists, do you want to analyze them from within the streaming service source or within the My Collection source?
iCloud Sync synchronizes hot cues and saved loops. Other metadata like BPM analysis is currently not synced. So, I’m guessing your suggestion here is to sync the BPM analysis as well?
Right, I would like to analyze multiple playlists in the streaming source. I only use “My Collection” for locally stored tracks. I don’t do this for streaming sources, because unfortunately there is no automatic adjustment under “My collection” when a playlist is changed in the streaming service, so that would be double work - but it would be nice if this were also integrated.
It would be nice to synchronize the BPM analysis data as well. It has to be saved somehow anyway. This may not happen so often, but a new analysis may take a long time when changing devices (depending on the size of the library).
Perfect! Thanks for clarifying @Chris_R . I think it would be best if you created separate suggestion topics for 1 and 2 so we can properly track and discuss these further. I’ve already changed the title of this one to match #1, so you just need to create a new topic for #2. Thanks!
Thanks @Chris_R, I have forwarded this to the dev team for consideration. In the meantime, please use the blue Vote button at the top left of this page so we can gauge user demand for this feature.