Website: https://nightingale.cafe

License: GPL-3.0

I’ve been working on a karaoke app called Nightingale Karaoke. You point it at your music folder and it turns your songs into karaoke - separates vocals from instrumentals, generates word-level synced lyrics, and lets you sing with highlighted lyrics and pitch scoring. Works with video files too.

Everything runs locally on your machine, nothing gets uploaded. No accounts, no subscriptions, no telemetry.

It ships as a single binary for Linux, macOS, and Windows. On first launch it sets up its own isolated Python environment and downloads the ML models it needs - no manual installation of dependencies required.

My two biggest drivers for the creation of this were:

• The lack of karaoke coverage for niche, avant-garde, and local tracks.
• Nostalgia for the good old cheesy karaoke backgrounds with flowing rivers, city panoramas, etc.

Some highlights:

• Stem separation using the UVR Karaoke model (preserves backing vocals) or Demucs
• Automatic lyrics via WhisperX transcription, or fetched from LRCLIB when available
• Pitch scoring with player profiles and scoreboards
• Gamepad support and TV-friendly UI scaling for party setups
• GPU acceleration on NVIDIA (CUDA) and Apple Silicon (CoreML/MPS)
• Built with Rust and the Bevy engine

The whole stack is open source. No premium tier, no “open core” - just the app.

Feedback and contributions welcome.