| A maintain my own digital music collection. The only two tools I use for maintaining the CD portion of my collection are k3b and MusicBrainz Picard. k3b can rip to flac and it will on embed metadata present on the CD itself. Then after I rip it, I add it to Picard. I use the "lookup CD" feature in Picard, which gives me a selection of releases to choose from. Among the choices, I usually see a release matching the catalog number on my CD's case. When I don't see a matching release, I will typically add the disc ID to an existing release, or I will create a new release, or sometimes even creating a new release + new release group and add the necessary metadata to MusicBrainz. I haven't tried any automatic tagging process like the ripping program the article talks about does, mostly because I want to use Picard to make sure the metadata is correct or contribute to MusicBrainz if it isn't. I like MusicBrainz a lot because applications like Plex use it very well to group release groups together and will (usually) deduplicate identical recordings so that identical tracks can share a rating. It's a really great database and is kept up to date pretty well. |
• Drag your album folders (one at a time so it doesn't get confused) into the pane that initially shows "Unclustered Files (0)" and "Clusters (0)".
• Select the "Clusters" folder in that pane and click "Lookup". This will find any close matches, and in my experience works ~25% of the time.
• For albums that weren't auto-matched, right-click the album folder name and choose "Search for similar albums…". As long as you're sorting by "Score", often you'll find a reasonably-good match in the top 5 options.
• NEVER use "Scan", basically.
For matched albums, carefully review things like album covers, titles, etc. before you "Save" the updated metadata. After using it to rebuild my personal music library, including ~200 contributions to the MusicBrainz database, I still haven't cracked (for example) how to stop Picard from defaultly replacing a perfect, 1500px album cover with a less-good, 1000px cover from its database.