* refactor(artwork): rename DevJpegCoverArt to EnableWebPEncoding
Replaced the internal DevJpegCoverArt flag with a user-facing
EnableWebPEncoding config option (defaults to true). When disabled, the
fallback encoding now preserves the original image format — PNG sources
stay PNG for non-square resizes, matching v0.60.3 behavior. The previous
implementation incorrectly re-encoded PNG sources as JPEG in non-square
mode. Also added EnableWebPEncoding to the insights data.
* feat: add configurable UICoverArtSize option
Converted the hardcoded UICoverArtSize constant (600px) into a
configurable option, allowing users to reduce the cover art size
requested by the UI to mitigate slow image encoding. The value is
served to the frontend via the app config and used by all components
that request cover art. Also simplified the cache warmer by removing
a single-iteration loop in favor of direct code.
* style: fix prettier formatting in subsonic test
* feat: log WebP encoder/decoder selection
Signed-off-by: Deluan <deluan@navidrome.org>
* fix(artwork): address PR review feedback
- Add DevJpegCoverArt to logRemovedOptions so users with the old config
key get a clear warning instead of a silent ignore.
- Include EnableWebPEncoding in the resized artwork cache key to prevent
stale WebP responses after toggling the setting.
- Skip animated GIF to WebP conversion via ffmpeg when EnableWebPEncoding
is false, so the setting is consistent across all image types.
- Fix data race in cache warmer by reading UICoverArtSize at construction
time instead of per-image, avoiding concurrent access with config
cleanup in tests.
- Clarify cache warmer docstring to accurately describe caching behavior.
* Revert "fix(artwork): address PR review feedback"
This reverts commit
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| cmd | ||
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| contrib | ||
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| db | ||
| git | ||
| log | ||
| model | ||
| persistence | ||
| plugins | ||
| release | ||
| resources | ||
| scanner | ||
| scheduler | ||
| scripts | ||
| server | ||
| tests | ||
| ui | ||
| utils | ||
| .dockerignore | ||
| .git-blame-ignore-revs | ||
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| .golangci.yml | ||
| .nvmrc | ||
| CODE_OF_CONDUCT.md | ||
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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
- 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
