About Free Mix Analyzer for Musicians, Producers & Sound Engineers
Learn how our 100% free tool uses advanced AI algorithms to analyze your tracks and provide professional mixing and mastering recommendations at no cost
Advanced Free AI-Powered Mixing and Mastering Analysis Technology - 17 Professional Modules
Mix Analyzer is a completely free online tool that combines cutting-edge audio analysis algorithms with artificial intelligence to help musicians, producers, and sound engineers create professional-quality mixes and masters at no cost. Our comprehensive suite features 17 professional analysis modules including enhanced voice gender detection, genre classification, mood analysis, instrument detection, and advanced clarity analysis. Whether you're a bedroom producer, aspiring mixing engineer, or seasoned professional, our free tool offers valuable insights that would traditionally require expensive equipment and years of trained ears.
Overview of Analysis Technologies
Mix Analyzer employs several sophisticated technologies to analyze different aspects of your audio tracks:
Frequency Spectrum Analysis
Our AI analyzes your track's frequency content using Fast Fourier Transform (FFT) and advanced spectral processing to identify frequency imbalances, potential masking issues, and opportunities for more clarity in your mix.
Advanced Frequency Analysis Technology
Spectral Analysis Features
- Real-time FFT analysis with adjustable window sizes
- Multi-resolution spectral analysis for precise frequency detection
- Advanced masking detection algorithms
- Genre-specific frequency balance recommendations
Professional Applications
- Identify problematic frequency buildups
- Detect phase issues in critical frequency bands
- Compare against reference tracks in your genre
- Get targeted EQ suggestions for better clarity
Dynamic Range Analysis
Using statistical analysis of peak levels, RMS values, and crest factors, we assess your track's dynamic range and compression characteristics.
Professional Dynamic Range Analysis
Key Measurements
- True Peak and RMS level analysis
- Dynamic range measurement (DR value)
- Crest factor analysis per frequency band
- Genre-specific dynamic recommendations
Compression Analysis
- Detect over-compression issues
- Analyze attack and release characteristics
- Identify dynamic range sweet spots
- Compare to commercial reference levels
Stereo Field Analysis
Through mid-side processing and phase correlation measurement, we evaluate your mix's stereo width and mono compatibility.
Advanced Stereo Imaging Analysis
Stereo Width Features
- Mid/Side balance measurement
- Phase correlation analysis
- Stereo field visualization
- Frequency-dependent stereo width analysis
Mono Compatibility
- Phase cancellation detection
- Stereo enhancement suggestions
- Bass frequency mono analysis
- Multi-speaker system compatibility checks
Transient Analysis
Our percussion and transient detection algorithms measure attack sharpness, detect transient density, and analyze the impact of your drums and percussive elements.
Professional Transient Analysis
Transient Detection Features
- Attack time measurement
- Release curve analysis
- Transient density mapping
- Peak detection algorithms
Percussion Analysis
- Drum hit detection
- Impact level measurement
- Groove analysis
- Dynamic consistency checking
Harmonic Content Analysis
Using chromagram analysis and harmonic detection, we identify the key of your track, assess harmonic complexity, and evaluate tonal balance.
Advanced Harmonic Analysis
Key Detection Features
- Automatic key detection
- Scale analysis
- Chord progression mapping
- Harmonic compatibility checking
Tonal Balance Analysis
- Harmonic series analysis
- Overtone structure evaluation
- Harmonic richness measurement
- Genre-specific tonal recommendations
Clarity and Spectral Balance
Our algorithms measure spectral contrast, flatness, and centroid to assess how clear and balanced your mix sounds.
Professional Clarity Analysis
Spectral Measurements
- Spectral contrast analysis
- Frequency masking detection
- Mud frequency identification
- Harshness detection
Balance Analysis
- Overall tonal balance
- Frequency distribution analysis
- Mix clarity scoring
- Professional reference comparison
3D Spatial Mix Analysis
Our advanced algorithms analyze height, depth, and immersion cues in your audio to evaluate and improve spatial positioning and 3D sound field representation.
Immersive Spatial Analysis Technology
Key Dimensions Analyzed
- Height perception and vertical positioning
- Depth and front-to-back placement analysis
- Width consistency across frequency bands
- Immersion factor and envelopment measurement
- Binaural processing effectiveness
Advanced Spatial Techniques
- Head-related transfer function (HRTF) analysis
- Early reflection pattern detection
- Spectral cue identification for height perception
- Phantom center stability measurement
- System-specific spatial translation analysis
Enhanced Voice Gender Detection
Our significantly improved AI-powered voice analysis uses research-based F0 thresholds, advanced formant analysis, and weighted scoring to accurately detect voice gender with enhanced confidence scoring.
Advanced Voice Analysis Technology
Enhanced Detection Features
- Research-based F0 frequency thresholds for accurate classification
- Advanced formant analysis using Linear Predictive Coding (LPC)
- Jitter and shimmer calculation for voice quality assessment
- Harmonic-to-Noise Ratio (HNR) for vocal clarity measurement
- Multiple F0 estimation methods (piptrack, YIN, autocorrelation)
Weighted Scoring System
- F0 Analysis: 70-80% weight (most reliable indicator)
- Formant Analysis: 20% weight (secondary confirmation)
- Spectral Features: 10% weight (supporting evidence)
- Confidence thresholds with uncertainty handling
- Enhanced accuracy for contralto, bass, baritone, and tenor ranges
Genre Classification
Our AI analyzes musical characteristics to classify your track across 15 different genres with confidence scoring and diversity metrics for hybrid genre detection.
Professional Genre Classification
15-Genre Detection System
- Electronic, Hip-Hop, Rock, Pop, Jazz, Classical, Country, R&B
- Reggae, Folk, Blues, Metal, Funk, Latin, Ambient genres
- Confidence scoring for each genre classification
- Diversity metrics for hybrid and crossover tracks
- Tempo, rhythm, and harmonic pattern analysis
Musical Feature Analysis
- Spectral features and timbral characteristics
- Rhythmic pattern recognition
- Harmonic complexity assessment
- Instrumentation and arrangement analysis
- Genre-specific mixing recommendations
Mood Analysis
Advanced emotional analysis classifies your track across 16 different moods with energy/valence mapping and polar diagram visualization for comprehensive emotional profiling.
Comprehensive Mood Analysis
16-Mood Classification System
- Happy, Sad, Energetic, Calm, Aggressive, Peaceful, Dark, Bright
- Mysterious, Romantic, Nostalgic, Uplifting, Melancholic, Dramatic, Playful, Intense
- Energy and valence mapping on 2D emotional space
- Polar diagram visualization for mood distribution
- Confidence scoring for each emotional classification
Emotional Feature Extraction
- Tempo and rhythm pattern analysis for energy assessment
- Harmonic content analysis for emotional valence
- Spectral features for brightness and warmth
- Dynamic range analysis for emotional intensity
- Mood-specific mixing and mastering recommendations
Instrument Detection
Our AI identifies and analyzes the presence of 9 different instrument categories with arrangement complexity analysis and mixing recommendations for each detected instrument.
Professional Instrument Detection
9-Category Instrument Analysis
- Drums, Bass, Guitar, Piano, Strings, Brass, Woodwinds
- Synthesizers and Electronic instruments
- Presence confidence scoring for each instrument
- Arrangement complexity and density analysis
- Frequency range and spectral footprint mapping
Mixing Optimization
- Instrument-specific EQ recommendations
- Frequency masking detection between instruments
- Stereo placement suggestions for better separation
- Dynamic range optimization per instrument category
- Arrangement density and clarity recommendations
Keyword Analysis & Semantic Clustering
Advanced semantic analysis generates searchable keywords and clusters them into 6 categories for enhanced track discovery and organization.
Intelligent Keyword Generation
6-Category Semantic Clustering
- Technical: Audio engineering and production terms
- Musical: Genre, style, and compositional elements
- Emotional: Mood and feeling descriptors
- Descriptive: Sound characteristics and qualities
- Energy: Tempo and dynamic descriptors
- Production: Mixing and mastering style indicators
Advanced Features
- Weighted keyword scoring based on confidence
- Searchable tag generation for music libraries
- Semantic similarity analysis
- Genre and mood-specific keyword extraction
- Professional terminology for industry use
Cyanite.ai Professional Integration
Professional-grade commercial music analysis integration providing industry-standard reference data with secure webhook system and real-time analysis notifications.
Commercial-Grade Analysis Integration
Professional Features
- Commercial-grade genre and mood analysis
- Industry-standard audio feature extraction
- Professional reference track comparison
- Real-time analysis notifications via secure webhooks
- HMAC signature verification for security
Technical Implementation
- GraphQL API client for seamless integration
- Secure file upload and processing
- Comprehensive error handling and monitoring
- Production-ready webhook endpoint
- Professional music industry data standards
🤖 Model Context Protocol (MCP) Integration
Mix Analyzer now supports Model Context Protocol (MCP) - making our 17 professional audio analysis modules accessible to other AI systems, developers, and automated workflows through standardized AI-to-AI communication.
AI-Friendly Integration Technology
MCP Tools Available
- analyze_audio_file: Comprehensive analysis of local audio files
- analyze_audio_from_url: Download and analyze audio from URLs
- get_analysis_capabilities: Discover all 17 available analysis modules
- get_usage_statistics: Analytics and performance metrics
AI Developer Benefits
- Standardized JSON API responses for easy parsing
- Direct integration with AI development workflows
- Access to professional-grade audio analysis without setup
- Comprehensive documentation and testing tools
- Real-time analysis with confidence scoring
Technical Implementation
- Docker-ready MCP server with isolated environment
- Secure audio processing with automatic file cleanup
- Memory-optimized analysis (8GB max, 2GB reserved)
- Comprehensive error handling and status reporting
- Interactive testing suite and documentation
Use Cases for AI Systems
- Automated music production quality assessment
- AI-powered mixing and mastering assistants
- Music recommendation systems with audio analysis
- Content management systems for audio libraries
- Educational tools for music production learning
🤖 AI-Friendly Integration with Model Context Protocol (MCP)
Mix Analyzer now supports the Model Context Protocol (MCP), making our comprehensive audio analysis capabilities accessible to other AI systems, developers, and automated workflows. This breakthrough integration transforms Mix Analyzer from a standalone tool into a professional audio analysis service that AI systems can directly utilize.
Standardized AI-to-AI Communication
MCP provides a standardized protocol for AI systems to communicate with external tools and services. Mix Analyzer's MCP integration exposes our 17 professional analysis modules through 4 powerful tools that other AI systems can invoke directly, enabling seamless integration into AI-powered music production workflows.
Professional Analysis Tools for AI Systems
analyze_audio_file: Complete analysis of local audio files with all 17 modules
analyze_audio_from_url: Download and analyze audio from web URLs
get_analysis_capabilities: Discover available analysis modules and features
get_usage_statistics: Performance metrics and analytics with customizable time periods
Developer-Ready Integration
Our MCP implementation includes comprehensive Docker deployment, memory-optimized processing (8GB max, 2GB reserved), interactive testing suites, and complete documentation. AI developers can integrate professional-grade audio analysis capabilities without complex setup or audio engineering expertise.
Use Cases for AI Integration
AI-powered mixing assistants can now access real-time frequency, dynamics, and stereo analysis. Music recommendation systems can incorporate mood, genre, and instrument detection. Educational AI tutors can provide detailed feedback on student productions. Content management systems can automatically analyze and tag audio libraries with professional-grade metadata.
Secure and Privacy-First
The MCP integration maintains our privacy-first approach with automatic file cleanup, secure processing environments, and comprehensive error handling. AI systems can access powerful analysis capabilities while ensuring user data remains protected and processing is isolated.
AI Technology Insights
What sets Mix Analyzer apart is our integration of advanced artificial intelligence to interpret the raw data and provide actionable insights:
GPT-4o Integration
We leverage OpenAI's GPT-4o to analyze the technical measurements of your track and translate them into clear, professional recommendations. This AI has been trained on thousands of professionally mixed and mastered tracks across various genres to recognize patterns and best practices in audio production.
Genre-Specific Analysis
Our AI automatically detects the likely genre of your track and adjusts its recommendations accordingly. A hip-hop track requires different frequency balance and dynamic treatment than a classical recording, and our AI tailors its suggestions to match your musical context.
Reference Track Comparison
The AI compares your track's characteristics with our database of reference tracks in similar genres, identifying specific areas where your mix might diverge from professional standards and suggesting targeted improvements.
System-Specific Recommendations
Our AI provides recommendations for how your mix will translate to different playback systems, from studio monitors to earbuds, helping you create mixes that sound great everywhere.
3D Spatial Audio Intelligence
Our AI evaluates the immersive qualities of your mix, analyzing how elements are positioned in the three-dimensional sound field. It identifies issues like spatial collapse, phantom image instability, and excessive diffusion while recommending specific techniques to enhance height perception, depth consistency, and overall immersion factor for modern spatial audio formats.
Enhanced Voice Gender Detection
Our significantly improved AI voice analysis uses research-based F0 thresholds, advanced formant analysis, and weighted scoring systems to accurately detect voice gender with enhanced confidence scoring. The algorithm now provides superior accuracy for contralto, bass, baritone, and tenor vocal ranges with comprehensive uncertainty handling.
Comprehensive Content Analysis
Our AI now provides complete musical content analysis including 15-genre classification, 16-mood emotional profiling, 9-category instrument detection, and intelligent keyword generation. This comprehensive analysis helps you understand not just the technical aspects of your mix, but also its musical and emotional characteristics.
Professional Integration & Privacy
Integration with Cyanite.ai provides commercial-grade reference analysis while maintaining privacy-first principles with automatic file deletion. Our secure webhook system ensures real-time analysis notifications while protecting your creative work with industry-standard security measures.
Technical Foundation Overview
Mix Analyzer is built on a foundation of proven open-source audio analysis libraries, commercial integrations, and custom algorithms:
- Librosa: Advanced audio signal processing, spectral analysis, and feature extraction
- NumPy and SciPy: Mathematical operations, signal processing, and statistical analysis
- PyDub: Audio file handling, format conversion, and preprocessing
- Scikit-learn: Machine learning algorithms for genre and mood classification
- Custom FFT algorithms: High-resolution spectral analysis with multiple fallback methods
- OpenAI GPT-4o API: Advanced AI for generating human-like insights and recommendations
- Cyanite.ai Integration: Professional-grade commercial music analysis reference
- Flask & SQLAlchemy: Robust web framework with secure database management
- Chart.js v3+: Modern interactive visualizations and 3D spatial representations
- Privacy-First Architecture: Automatic file deletion and secure webhook systems
How Your Track Gets Analyzed - Professional Workflow
Our 10-step analysis process utilizes 17 professional analysis modules to comprehensively evaluate your audio:
- Upload Processing: Your audio file is securely uploaded and processed to ensure compatibility
- Core Audio Analysis (Steps 2-8): Frequency balance, dynamic range, stereo field, clarity, harmonic content, transients, and 3D spatial analysis
- Compatibility Analysis (Steps 9-10): Surround sound compatibility and headphone/speaker optimization
- Content Analysis (Steps 11-14): Genre classification, enhanced voice gender detection, instrument detection, and mood analysis
- Semantic Analysis (Step 15): Intelligent keyword generation and semantic clustering
- Visualization Generation (Step 16): Interactive charts, 3D visualizations, and detailed spectrograms
- AI Processing & Scoring (Step 17): GPT-4o interprets all measurements and generates comprehensive recommendations
- Results Presentation: All insights organized into an intuitive interface with actionable suggestions across 8 analysis tabs
- Privacy Protection: Automatic file deletion ensures your creative work remains private
- MCP Integration Ready: All analysis results are also accessible via Model Context Protocol for AI systems and developers
🤖 For AI Systems & Developers
The same comprehensive analysis process is available through our MCP integration, allowing other AI systems to access all 17 analysis modules programmatically. AI developers can integrate professional audio analysis capabilities directly into their applications without complex setup.
Privacy and Security
We respect your creative work and privacy. Your uploaded audio files are processed securely and are not shared with third parties. Files are temporarily stored for analysis purposes only and can be removed upon request.
Experience Comprehensive AI-Powered Analysis
Ready to see how our 17-module AI analysis system can transform your mixes? Upload your track to get comprehensive professional analysis including enhanced voice detection, genre classification, mood analysis, instrument detection, and much more - all completely free with actionable insights.
Analyze Your Track with 17 Professional Modules