A comprehensive, browser-based audio processing and production suite featuring AI-powered analysis, professional-grade effects, and advanced audio testing capabilities.
- Real-time audio processing with Web Audio API
- Professional effect suite including EQ, compression, reverb, and dynamics
- Multi-format support (WAV, MP3, FLAC, AAC, OGG)
- High-quality processing with 64-bit floating point precision
- Advanced spectral analysis and frequency domain processing
- Intelligent audio analysis for musical, technical, and quality assessment
- Smart suggestions system with confidence scoring and user feedback
- Automated mixing assistant with genre-specific optimizations
- Learning algorithms that adapt to user preferences and feedback
- Comprehensive audio validation with 13 different test types
- Quality metrics measurement including LUFS, dynamic range, and SNR
- Broadcasting standards compliance checking
- Detailed validation reports with recommendations and issue analysis
- Project templates and presets for different audio production workflows
- Advanced audio routing with multi-bus architecture
- Plugin architecture with VST support and effect chain management
- Audio automation with MIDI control surface integration
- Professional export tools with multiple format options
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Clone the repository:
git clone https://github.com/TFPrsvr/Tabbs-ANC-App.git cd anc-audio-app -
Install dependencies:
npm install
-
Start development server:
npm run dev
-
Open your browser and navigate to
http://localhost:3007
- Load Audio: Drag and drop an audio file or use File > Open
- Choose Template: Select an appropriate project template for your workflow
- AI Analysis: Run AI analysis to get smart suggestions for your audio
- Apply Processing: Use the suggested effects or apply manual processing
- Test Quality: Run the audio testing suite to validate quality
- Export: Choose your desired format and export the processed audio
- User Manual - Complete guide to using all features
- Audio Features Overview - Detailed feature documentation
- Troubleshooting Guide - Common issues and solutions
- API Reference - Complete API documentation
- Contributing Guidelines - How to contribute to the project
- Architecture Overview - Technical implementation details
- Frontend: Next.js 15.5.0 with React 19.1.0
- TypeScript: Full type safety throughout the application (100% compilation compliance)
- Audio Processing: Web Audio API with custom DSP algorithms
- UI Framework: Tailwind CSS v4 with custom components
- Authentication: Clerk for secure user management
- Mobile: Capacitor for Android/iOS deployment
- Testing: Jest and React Testing Library
src/
├── components/ # React components
│ ├── audio/ # Audio-specific components
│ │ ├── ai/ # AI analysis and suggestions
│ │ └── testing/ # Audio testing suite
│ └── ui/ # General UI components
├── lib/ # Core libraries and utilities
│ ├── audio/ # Audio processing engine
│ │ ├── engines/ # Specialized audio processors
│ │ ├── testing/ # Audio validation and testing
│ │ └── ai-system.ts # AI analysis system
│ ├── performance/ # Performance optimization
│ ├── security/ # Security and validation
│ └── utils/ # Utility functions
├── pages/ # Next.js pages
└── types/ # TypeScript type definitions
audio-processor.ts- Main audio processing engineadvanced-dsp.ts- Digital signal processing algorithmsaudio-visualizer.ts- Real-time audio visualizationprofessional-effects.ts- Professional audio effects suite
- Comprehensive audio analysis (musical, technical, quality)
- Smart suggestion generation with confidence scoring
- Machine learning-based audio enhancement recommendations
- User feedback integration and learning algorithms
audio-test-suite.ts- Comprehensive audio validation framework- 13 different test types for complete audio analysis
- Quality metrics calculation (LUFS, SNR, dynamic range)
- Professional validation reporting
# Development
npm run dev # Start development server (Turbopack)
npm run dev:debug # Start with debug inspector
npm run build # Build for production
npm run build:production # Full production build pipeline
npm run start # Start production server
npm run lint # Run ESLint with auto-fix
npm run type-check # TypeScript type checking
# Testing
npm test # Run unit tests
npm run test:watch # Run tests in watch mode
npm run test:coverage # Generate coverage report
npm run test:ci # CI-ready test run
# Mobile Development
npm run mobile:android # Build and open Android
npm run mobile:ios # Build and open iOS
npm run mobile:sync # Sync mobile platforms
# Production & Deployment
npm run deploy:production # Deploy to production
npm run security:audit # Security dependency audit
npm run clean # Clean build artifacts# Run all tests
npm test
# Run tests in watch mode
npm run test:watch
# Generate coverage report
npm run test:coverage
# Run specific test suites
npm test -- --testPathPattern=audio
npm test -- --testPathPattern=aiThe project maintains high test coverage across:
- Audio processing algorithms
- AI analysis functions
- Audio testing suite
- UI components
- Utility functions
- Musical Analysis: Key detection, tempo analysis, chord progression identification
- Mix Analysis: Frequency balance, stereo imaging, level relationships
- Quality Assessment: Technical issues detection, broadcast compliance
- Smart Suggestions: Context-aware recommendations with confidence scoring
- File Validation: Format integrity and specification compliance
- Quality Analysis: SNR, dynamic range, loudness measurements
- Technical Validation: Clipping detection, phase analysis, noise measurement
- Compatibility Checking: Multi-platform playback validation
- Real-time Effects: EQ, compression, reverb, dynamics with zero-latency monitoring
- Spectral Processing: FFT-based frequency domain manipulation
- Professional Routing: Multi-bus architecture with send/return channels
- Automation System: Parameter automation with curve editing
We welcome contributions from the community! Please see our Contributing Guidelines for details on:
- Code style and standards
- Pull request process
- Issue reporting
- Development setup
- Testing requirements
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
- 📖 User Manual - Comprehensive usage guide
- 🔧 Troubleshooting Guide - Common issues and solutions
- 💬 Community Forum - Community support
- 🐛 Issue Tracker - Bug reports and feature requests
- Repository: GitHub Issues
- Documentation: API Reference
- Community: GitHub Discussions
- Web Audio API specification for audio processing standards
- Open source audio processing libraries and algorithms
- Contributors and community members
- Audio engineering principles and best practices
Professional Audio Application - Transforming audio production with AI-powered intelligence and professional-grade processing capabilities.