Add a full TTML (Timed Text Markup Language) sidecar lyrics parser that extracts word/syllable-level timing from <span> elements, plus translation and pronunciation (transliteration) tracks from Apple Music TTML metadata sections. Backend changes: - TTML parser (core/lyrics/ttml.go) with support for all TTML time formats, nested timing contexts, and bare decimal second offsets - Translation/pronunciation tracks resolved via key-based metadata linking - Line timing hydration from token-level start/end values - 'kind' field added to Lyrics model and StructuredLyric API response (main/translation/pronunciation) - 'tokenLine' array in API response for word-level timing data - UTF-8 BOM and UTF-16 LE encoding support for TTML files - Fix for ambiguous time resolution in pronunciation spans (pre-1-minute) Frontend changes: - KaraokeLyricsOverlay rewritten with scrollable multi-line layout, word-level wipe highlighting with eased alpha transitions, rAF-driven playback clock with drift correction - Inline translation (above) and pronunciation (below) each main line, with smart filtering to hide redundant lines (same normalized text) - TR/PR toggle buttons and layer selection via selectLyricLayers() - Click-to-seek: click any lyric line to jump to that position - Customization popover with font-size sliders and color presets for each line type (TR/Default/PR), persisted to localStorage - Smooth font-size transition between active and inactive lines - Resizable overlay height via drag handle - lyrics.js: resolveKaraokeTokenWindow, buildSyntheticWordTokens, findLayerLineIndexForMain, token sorting, collapsed timing detection API extension (non-breaking, additive): - tokenLine[].token[] provides per-word start/end timing (ms) - tokenLine[].index maps back to the corresponding line[] entry - kind field: 'main', 'translation', 'pronunciation' - Clients ignoring tokenLine/kind continue to work unchanged
5.9 KiB
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 synchronized lyrics from sidecar .lrc and .ttml files (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
