The native API exposes a `path` query param on /api/song, but it was not registered in the media file filter map. Unmapped real columns fall through to a default LIKE predicate that emits an unqualified `path LIKE ?`. Since the song query joins the library table (which also has a `path` column), SQLite returned "ambiguous column name: path" and the request failed with HTTP 500. Register a dedicated path filter qualified to media_file.path, resolving the ambiguity. The value is matched with startsWith semantics (LIKE arg || '%') against the library-relative path stored in media_file.path. To register it inline (without a one-off wrapper), startsWithFilter now takes a bound field and returns a filterFunc, mirroring containsFilter. The two existing callers are updated accordingly, and the now-unused withTableName helper is removed. The user 'name' filter, which previously relied on withTableName, is now qualified directly as user.name; tests are added to guard that filter against the same column-ambiguity class (the user query also joins the library table, which has a name column). Signed-off-by: Deluan <deluan@navidrome.org>
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
- 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
