* fix(artwork): convert decoded images to a fast-path type before resizing
x/image/draw's CatmullRom scaler only has optimized paths for *image.RGBA,
*image.NRGBA, *image.Gray and *image.YCbCr. Other concrete types — notably
*image.NYCbCrA (from WebP) and *image.Paletted (indexed PNGs) — fall back to
a generic per-pixel At()/RGBA() loop that is several times slower.
Convert such images to *image.RGBA once before scaling; fast-path types are
returned unchanged. This makes resize performance independent of which decoder
wins the image.Decode("webp") registration, and also speeds up indexed PNGs.
Signed-off-by: Deluan <deluan@navidrome.org>
* chore(deps): update gen2brain/webp to v0.6.0
v0.6.0 replaces the wazero WASM runtime with a self-contained
wasm2go-transpiled WebP decoder/encoder. This drops the webp -> wazero
dependency edge (wazero is still used by the plugin system) and makes the
WASM-only build path (32-bit / nodynamic) faster and far lighter on
allocations.
Signed-off-by: Deluan <deluan@navidrome.org>
* perf(artwork): defer fast-path conversion until a resize is needed
Move toFastScaleType to just before the CatmullRom.Scale call, after the
no-upscale early return. Previously the conversion ran right after decode, so a
request for a size >= the source dimensions would allocate and walk a full RGBA
copy only to discard it when resizeStaticImage returns nil. The resize path is
unchanged; the no-op path drops ~30-40% time and up to ~79% memory for large
indexed/WebP artwork.
Signed-off-by: Deluan <deluan@navidrome.org>
---------
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
- 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
