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airsonicmadsonicmedia-servermusicmusic-servernavidromeopensubsonicraspberry-piself-hostedstreamerstreaming-apistreaming-audiosubsonicsubsonic-server
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* refactor(scanner): make tag value splitting position-based Replaces the ZWSP substitution trick with index-based cutting, in preparation for artist split exceptions, which need match positions. * feat(scanner): protect whitelisted names in tag value splitting Separator matches inside word-bounded exception matches no longer split. Matching is case-insensitive and longest-first; boundaries are rune-aware. * feat(scanner): add Scanner.ArtistSplitExceptions config option * feat(scanner): honor artist split exceptions for participant tags Applies Scanner.ArtistSplitExceptions to artist, albumartist and role tag splitting. Generic tags (genre, mood, ...) are unaffected. * fix(scanner): apply split exceptions when per-tag Split overrides participant tags Per-tag Tags.<name>.Split makes the generic ingestion path split the tag before participant mapping runs, bypassing the whitelist. Attach the exceptions to participant tag mappings (including sort variants) in clean(). * feat(scanner): split performer names and honor split exceptions Performer pair values were never split; multiple names in one PERFORMER value stayed a single artist. Split them with the roles separators, using the same whitelist protection as other participant tags. * test(scanner): lock MBID ordering for split performer values * refactor(scanner): consolidate split-exception wiring and drop hot-path lock ArtistSplitExceptionsRx is called per tag mapping per scanned file across concurrent goroutines; replace the mutex+joined-key cache with an atomic pointer compared via slices.Equal. Route all participant call sites through WithParticipantExceptions and a shared splitParticipantValues helper. * refactor(scanner): unexport artistSplitExceptionsRx All external callers go through WithParticipantExceptions, so the accessor does not need to be part of the model package API. |
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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
