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Best approach for automatically tagging local music collection?

AI 摘要

A user is seeking the best approach for automatically tagging their local music collection. They primarily listen to music from their own collection on an SD card via a dumbphone, and do not use music streaming services or local streaming servers like Plex or Navidrome. The user is considering setting up a streaming server solely for tagging purposes, but is looking for alternative, potentially better methods.

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发布当时偏移:UTC+02026年9月30日 02:17 UTC

收录当时偏移:UTC+02026年9月30日 11:00 UTC

发布
2026年9月30日 02:17
收录
2026年9月30日 11:00
来源类型
开发者社区
档位
社区
信源状态
正常

档位是按信源手工设定的编辑判断,不是逐条打分。

I don't use music streaming services much, and listen to music from my own local collection.

I don't use any local streaming servers like Plex or Navidrome, they wouldn't work for me because I use a dumbphone and play music off of my SD card.

I've manually built a bunch of mood based playlists so I can easily pull up a playlist with the music I want, but that's obviously very tedious and inefficient.

I've been playing around with ML models to automatically add genre, mood, and other tags to my collection, the open models available today are insane.

The thing is I haven't been able to find any polished tools for doing this.

Most of what's available is either CLI or built for streaming servers.

Is there anything I missed?

Should I just setup a streaming server just for tagging the collection, or is there a better way?

来源·reddit.com