I’m currently using @nextcloud@mastodon.xyz for my music collection after downloading over 2.5k songs from YouTube Music (Premium). While it works fine for most things, I’m looking for a better alternative. My key requirement is to read files from a mounted WebDAV folder (NextCloud Folder).

The Subsonic API in NextCloud Music works fine, and I’ve had no issues streaming through clients like Symfonium and Subtract. However, I want to eliminate the 5-10 second buffering issue I experience on mobile. When I tried @powerampache@floss.social, my NextCloud AIO instance became unresponsive after about 30 minutes (happened twice, not sure why).

I also tried Navidrome, but I didn’t like how it organizes music—it only recognizes album artists, which doesn’t work for me since I don’t have albums. I downloaded the songs in Playlists using Seal.

Ideally, I’m looking for a solution that streams high-quality music instantly, like Spotify or YouTube Music. If possible, I’d prefer tweaking my Nginx config to resolve the buffering issue rather than setting up new software. What alternatives do you guys use for fast, high-quality music playback with WebDAV support?

Edit: Forgot to mention, the buffering issue only occurs when I use a Subsonic or Ampache client with NC Music. The web version works very smoothly.

Edit: The issue with Nextcloud Music was occurring because of rate limiting.

  • Blxter@lemmy.zip
    link
    fedilink
    English
    arrow-up
    2
    ·
    2 months ago

    For your second point can’t you tag the song as explicit and put in it a separate album (album name (explicit) ) and unmatch the album (or add a specific explicit version to music barainz to match with) I have had to do this with instrumental versions assuming it’s the same process.

    • AlphaAutist@lemmy.world
      link
      fedilink
      English
      arrow-up
      3
      ·
      2 months ago

      They are already tagged as explicit/clean in the metadata as well as separated by folder with an [E] tag if explicit. I could manually rematch them but my library is large so I’d really rather not