Vynody

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Vynody is a visually refined, feature-rich, and lightweight cross-platform local music player. Built with Flutter for a sleek modern UI and integrated with platform-specific native audio backends, it delivers a unified experience while unlocking low-level hardware audio capabilities across all platforms.

Why Vynody?

I am both a music enthusiast and a software developer. For a long time, the local music player ecosystem across different platforms has been severely fragmented—either plagued by dated UIs, bloated resource usage, or jarring inconsistencies across devices. To craft a clean, pure, and cohesive listening experience, I decided to build this application.

Vynody is developed using a modern Vibe Coding (AI-assisted development) workflow. After months of intensive iterations and real-device testing, Vynody offers solid stability, maturity, and performance for daily use.

Beyond fast media library indexing, lightweight system footprints, and smooth local playback, Vynody brings unique and advanced features rarely found in traditional players:

• Karaoke-style word-by-word synced lyrics and AI timeline generation
• Serverless cross-device LAN syncing for music tracks, playlists, and lyrics
• Customizable themes and progress bar visual styles
• Deep native platform optimization across Windows, macOS, Linux, iOS, and Android.

Downloads

Platform	Channel	Note / Link
Windows	Microsoft Store / GitHub	Microsoft Store · GitHub Releases (Free)
macOS	Mac App Store / GitHub	Mac App Store · GitHub Releases (Free)
iOS	Apple App Store	Download on App Store
Android	GitHub Releases	Download APK (Free)
Linux	GitHub Releases	GitHub Releases (Free)

Screenshots

Features

• Full Cross-Platform Native Experience: Supports Windows, macOS, Linux, iOS, and Android with platform-optimized native audio engines.
• Windows WASAPI Exclusive Mode: Direct, bit-perfect audio output bypassing system mixers.
• Fast Local Library & Instant Indexing: Intelligent scanning with millisecond-level incremental updates and ultra-low CPU/RAM usage.
• Audio Fingerprinting & Tag Completion: Powered by AcoustID and MusicBrainz to identify unknown tracks and automatically fill metadata & high-res artwork.
• Comprehensive Lyric Capabilities:
  • LRCLIB Integration: Instant lyric search and automatic matching.
  • AI-Powered Generation: Generates precise timestamped lyrics with word-by-word (Karaoke) sync and timeline corrections.
  • Multilingual Translation: One-click translation with dual-language display.
• Serverless Local Network (LAN) Sync: Auto-discovery of local instances to seamlessly transfer music files, bidirectionally sync Playlists, lyric caches, and translation databases, plus a browser Web interface for instant uploads/downloads.
• Universal Remote Music Libraries:
  • Streaming Servers: Connect to self-hosted Navidrome and Jellyfin instances.
  • Remote Storage: Mount WebDAV and SMB shares with on-demand chunked header parsing to immediately display tags without full song downloads.
• Immersive Visuals & Desktop Interaction: Real-time audio spectrum, waveforms, dynamic album art color extraction, multiple progress bar styles, desktop queue drawer, and global shortcuts.
• Sleep Timer: Countdown timer for automatic bedtime playback shutoff.

Architecture & Audio Engines

Vynody uses Flutter across all platforms for UI presentation and system interaction, paired with platform-tailored native audio backends:

Platform	Audio Engine	Implementation
Windows	Audio Core (Rust)	Rodio backend integrated with FFmpeg decoding; supports WASAPI Exclusive mode
Linux	Audio Core (Rust)	Rodio backend integrated with FFmpeg decoding
macOS	Audio Core (Rust)	Rodio backend, AVFoundation decoding prioritized with FFmpeg fallback
iOS	Audio Core (Rust)	Rodio backend, AVFoundation decoding prioritized with FFmpeg fallback
Android	ExoPlayer (Media3)	Deep buffer output via ExoPlayer for steadier playback and fewer CPU wakeups

Core Tech Stack & Integrations:

• UI & Architecture: Flutter 3.x + Riverpod state management
• Database: SQLite + Drift for high-speed local indexing and caching
• Remote Services & Protocols: LRCLIB (lyrics), Navidrome / Jellyfin (streaming), WebDAV / SMB (remote storage & on-demand metadata parsing)
• Audio Intelligence: AcoustID (fingerprints), MusicBrainz (metadata), configurable AI models (lyrics & translation)
• Networking: UDP broadcast discovery + embedded HTTP sharing server

Development & Setup

Prerequisites

• Flutter SDK (3.x)
• Rust toolchain (with cargo)
• Native build toolchain for your target OS (Xcode / Visual Studio / Android SDK & NDK)

Cloning

git clone --recurse-submodules https://github.com/axel10/vynody
cd vynody

💡 If you cloned without --recurse-submodules, run git submodule update --init before building.

Running

flutter pub get
flutter run -d <device-id>

Contributing

Issues and Pull Requests are welcome! Before submitting code, please ensure tests pass:

flutter test

License

Licensed under the GPL-3.0 License.