Added #

• Multi-Platform Support: Added support for macOS, Linux, and Windows platforms
• macOS Implementation: Full native implementation using AVFoundation (same as iOS)
• Linux & Windows: Basic plugin structure with platform-specific error handling
• Platform Documentation: Updated README with comprehensive platform support matrix
• Desktop Compatibility: Plugin now declares support for all desktop platforms

Enhanced #

• Updated platform support matrix in README
• Added platform-specific implementation notes
• Improved plugin architecture for cross-platform compatibility

Technical Details #

• macOS: Complete AVFoundation implementation for audio conversion, trimming, and waveform extraction
• Linux: GTK-based plugin structure (requires FFmpeg/GStreamer for full functionality)
• Windows: Win32 plugin structure (requires Media Foundation/FFmpeg for full functionality)

Notes #

• Desktop platforms (Linux, Windows) have basic plugin structure but require additional audio processing libraries
• macOS has full feature parity with iOS using the same AVFoundation APIs

Added #

• Fake Waveform Generation: Generate realistic waveform patterns for testing and previews
• 7 Waveform Patterns: Sine, Random, Music, Speech, Pulse, Fade, and Burst patterns
• Network URL Support: Process audio files from network URLs with fake waveform generation
• Modular Architecture: Complete refactoring of example app with Provider state management
• Enhanced Example App: Added fake waveform UI with pattern selection and color-coded display
• Pattern-specific amplitude algorithms for realistic waveform simulation
• URL validation and network audio file support
• Comprehensive testing for fake waveform functionality

Enhanced #

• Example app refactored from 1180 lines to 122 lines (89% reduction)
• Added Provider state management pattern
• Extracted business logic into service classes
• Modularized UI components into reusable widgets
• Improved error handling and progress tracking

Fixed #

• Library formatting and method signature issues
• Enhanced dependency management

Added #

• Initial release of flutter_audio_toolkit plugin
• Audio conversion from MP3, WAV, OGG to AAC/M4A formats
• Audio trimming with precise time range selection
• Waveform data extraction for visualization
• Native implementations for Android (MediaCodec/MediaMuxer) and iOS (AVFoundation)
• Progress tracking for all operations
• Audio file information retrieval
• Comprehensive example app with UI for all features
• Full test coverage including unit and widget tests
• Platform-specific permission handling
• Error handling and validation
• Performance optimized for large audio files

Platform Support #

• Android: API 21+ using MediaCodec, MediaMuxer, MediaExtractor
• iOS: 12.0+ using AVAssetExportSession, AVAudioConverter, AVAssetReader

Features #

• Convert audio files between formats
• Trim audio files to specific time ranges
• Extract waveform amplitude data
• Get detailed audio file information
• Real-time progress callbacks
• Native performance optimization