⚠️ Beta Release: This version may have issues. Not recommended for production use.

Added #

• ✅ Automatic Native Code Registration: Native code now registers automatically via Flutter plugin system
• ✅ Metadata Extraction: New metadata() and extractMetadataBatch() methods for extracting audio metadata
• ✅ Comprehensive Metadata: Extracts title, artist, album, album art, genre, year, track number, disc number, bitrate, file size, and more
• ✅ Permission Helper: getPermissionInstructions() and logPermissionInstructions() for platform-specific guidance
• ✅ Setup Verification: verifyPlatformSetup() to check if native code is properly configured
• ✅ Platform-Specific Guides: Android and iOS integration guides with automatic registration support

Changed #

• ✅ Simplified Setup: No manual MainActivity.kt or AppDelegate.swift changes needed
• ✅ Better Error Messages: Enhanced error handling with setup guidance
• ✅ Documentation: Updated all guides to reflect automatic registration

Technical Details #

• Flutter plugin structure with automatic registration
• Android plugin implements FlutterPlugin interface
• iOS plugin implements FlutterPlugin protocol
• Method channel: com.music_feature_analyzer/audio_metadata
• Thread-safe operations on both platforms
• File size overflow protection
• Optimized method channel handling (removed unnecessary thread switching)
• Clean code with removed verbose logging

Added #

• Initial release of Music Feature Analyzer package
• YAMNet AI model integration for instrument detection, genre classification, and mood analysis
• Advanced signal processing for tempo detection, energy analysis, and spectral features
• Comprehensive feature extraction with 20+ musical features
• Cross-platform support for iOS and Android
• Batch processing capabilities with progress callbacks
• Full test coverage
• Modern Flutter architecture with Freezed data classes
• JSON serialization support