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* refactor(matcher): resolve matches in song-index space * test(matcher): pin per-index duration matching for duplicate title+artist songs * refactor(matcher): drop unreachable specificity sentinel * refactor(matcher): hoist PreferStarred read out of scoring loop * docs(matcher): correct config field references in MatchSongs doc * fix(matcher): log swallowed per-artist DB error in title matching * fix(matcher): fail title matching when all artist lookups error * refactor(matcher): simplify loaders and test helpers * docs(matcher): move algorithm docs to package-level doc.go * docs(matcher): focus examples on fuzzy matching behavior * refactor(matcher): store index in dedup map and harden test helper * fix(matcher): keep exact-phase matches when all title lookups fail * perf(matcher): batch title-phase artist lookups into one query matchByTitle issued one GetAll per distinct artist, run serially. On a large library a batch of similar-songs spans dozens of artists, and profiling against a 95k-track library showed the matcher was ~90% bound in that serial query loop (a 100-song batch fired ~89 separate multi-join queries, taking ~6s). Replace the loop with a single 'order_artist_name IN (...)' query, then group the returned tracks by artist in memory and score each song against its bucket. This cuts a 100-song batch from ~6s to ~0.4s (roughly 14x) with less memory. Grouping keys on order_artist_name (the field the query filters on, matching how the per-artist queries are keyed), falling back to the sanitized Artist when it is unset. Because there is now a single query, matchByTitle is all-or-nothing like the ID/MBID/ISRC loaders: the per-artist best-effort skip is gone, while resolveMatches still preserves exact-phase matches when the title query fails. * refactor(matcher): group batched title matches by order_artist_name After batching the title-phase lookups into one query, the returned tracks must be grouped back to their artist. Key on MediaFile.OrderArtistName — the exact field the query filters on — so collaboration/"feat." tracks (whose display Artist differs from the sort artist) bucket correctly, with a sanitized-Artist fallback when it is unset. OrderArtistName is deprecated in favor of Participants, but the bulk GetAll path does not hydrate participant detail (the rich artist fields come only from the per-record GetWithParticipants JOIN), so the participant order name is empty here and the column is the only populated source. Also adds a TODO in computeSpecificityLevel: its artist-MBID levels read the deprecated, unpopulated MediaFile.MbzArtistID column, so they never fire today.
Navidrome Music Server 
Navidrome is an open source web-based music collection server and streamer. It gives you freedom to listen to your music collection from any browser or mobile device. It's like your personal Spotify!
Note: The master branch may be in an unstable or even broken state during development.
Please use releases instead of
the master branch in order to get a stable set of binaries.
Check out our Live Demo!
Any feedback is welcome! If you need/want a new feature, find a bug or think of any way to improve Navidrome, please file a GitHub issue or join the discussion in our Subreddit. If you want to contribute to the project in any other way (ui/backend dev, translations, themes), please join the chat in our Discord server.
Installation
See instructions on the project's website
Cloud Hosting
PikaPods has partnered with us to offer you an officially supported, cloud-hosted solution. A share of the revenue helps fund the development of Navidrome at no additional cost for you.
Features
- Handles very large music collections
- Streams virtually any audio format available
- Reads and uses all your beautifully curated metadata
- Great support for compilations (Various Artists albums) and box sets (multi-disc albums)
- Multi-user, each user has their own play counts, playlists, favourites, etc...
- Very low resource usage
- Multi-platform, runs on macOS, Linux and Windows. Docker images are also provided
- Ready to use binaries for all major platforms, including Raspberry Pi
- Automatically monitors your library for changes, importing new files and reloading new metadata
- Supports lyrics from sidecar .ttml, .yaml/.yml Lyricsfile, .elrc, .lrc, .srt, .txt files and embedded TTML, Enhanced LRC, LRC, SRT, and plain-text tags (via
lyricspriority) - Themeable, modern and responsive Web interface based on Material UI
- Compatible with all Subsonic/Madsonic/Airsonic clients
- Transcoding on the fly. Can be set per user/player. Opus encoding is supported
- Translated to various languages
Translations
Navidrome uses POEditor for translations, and we are always looking for more contributors
Documentation
All documentation can be found in the project's website: https://www.navidrome.org/docs. Here are some useful direct links:
Screenshots
