Full-screen lyric experiences are moving from passive subtitles to designed, narrative-driven stages. This project brings AI into that shift by using lyric-aware processing to generate visual themes and by supporting rich, animated typography so lyrics feel like part of the song’s storytelling rather than an afterthought.
What Sets It Apart
- AI-driven theme generation: analyzes lyrics and song mood to propose color palettes and visual parameters, so the full-screen stage adapts to the track instead of requiring manual theming.
- Rich animated lyric templates: multiple full-screen animation styles and adjustable typography parameters let lyrics behave like text-PVs, useful for live listening, home karaoke, or visual presentations.
- Robust lyric support and matching: integrates LRC and Apple‑Music-like TTML/word-level formats and provides intelligent matching for local files, reducing manual syncing work.
- Multi-platform, local-first design: available as an Electron desktop app and a Vercel-deployable web version, with options to keep audio and indexes local to protect privacy and avoid uploading raw files.
Who It's For and Tradeoffs
Great fit if you want an opinionated, visually driven lyric playback experience—musicians, streamers, and users who want cinematic lyric visualizations or automated theme suggestions. It also appeals to users who keep local music collections but want online lyric/cover match helpers.
Look elsewhere if you need a pure streaming client (this project doesn’t host music) or require permissive commercial licensing—the code is AGPL-3.0 and the app relies on third-party music/lyric services (copyright and availability depend on those sources). Expect some configuration if you deploy the web variant and be mindful of online lyric/cover licensing when sharing content.
