Height
0%High-frequency presence and vertical space utilization for enhanced listening experience.
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曲目类型
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AI 模型
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Analysis Results for
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Your gear
Gear tips · EQ
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Sibilance Control
--/100
De-ess health for the 4-10 kHz "ess/sh" band. Higher is better controlled
Sibilance Energy
--%
Share of total spectral energy in the 4-10 kHz harshness region
Analysis
AI Frequency Analysis
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Frequency Issues
Frequency Recommendations
AI frequency analysis is not available.
Our advanced AI analyzes your mix's frequency spectrum to identify specific EQ issues and provide targeted recommendations for better frequency balance.
Frequency Band Energy
Your gear
Gear tips · Compression
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RMS Dynamic Range
0 dB
Gated RMS spread across the mix, excluding silence and low-level tails
Crest Factor
0 dB
Ratio of peak level to average level, indicating transient headroom
Peak-to-RMS Ratio
0 dB
How much headroom exists between peaks and average RMS level
Integrated Loudness
-- LUFS
BS.1770 / EBU R128 program loudness. Streaming targets ≈ -14 LUFS
Loudness Range (LRA)
-- LU
Spread between quiet and loud sections across the whole track
Analysis
Your gear
Gear tips · Mastering
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Integrated Loudness
-- LUFS
Program loudness (BS.1770). Streaming target ≈ -14 LUFS
True Peak
-- dBTP
Inter-sample peak (4× oversampled). Keep ≤ -1 dBTP for streaming
Loudness Range
-- LU
Macro-dynamic spread across the track
Clipping
--
Samples at/above full scale (0 dBFS)
DC Offset
--
Constant bias that wastes headroom; should be absent
How streaming platforms will play this
Each platform normalizes loudness — here's the gain it will apply and whether your true peak clears its ceiling.
Loudness Over Time
Analysis
Noise Floor
-- dBFS
Residual background level; lower (more negative) is cleaner
Mains Hum
--
50/60 Hz electrical hum from grounding or power issues
HF Hiss
-- dBFS
High-frequency noise level in the 8-16 kHz band
Analysis
Assessment
--
Container and codec identity from file metadata
Spectral Cutoff
-- kHz
Highest frequency carrying meaningful energy
Encoded Bit Depth
--
PCM bit depth from file metadata; N/A for lossy codecs
Analysis
Local detector
New
Pending
AI Origin
Probabilistic signal for whether this track may be AI-generated.
Read our guide--
AI probability
Waiting for scan
This local detector scans track sections for neural-vocoder artifact patterns and returns an estimate, not proof.
Verdict
--
Probabilistic origin signal, not proof of authorship
Confidence
--
Distance from the local model's uncertain middle range
Segment Evidence
--
Track sections scanned for neural-vocoder artifacts
Generator
Unknown
Local detector is binary unless a future model adds source IDs
Analysis
Segment Scan
Target Genre
--
Genre target profile used for the comparison
Loudness vs Target
--
How your loudness compares to the genre norm
Tonal Balance vs Genre Target
Analysis
Phase Score
0
Your gear
Gear tips · Stereo & Imaging
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Channel Correlation
0
How similar left and right channels are; 1.0 = mono, 0 = uncorrelated
Mid/Side Ratio
0
Balance between center (mid) and stereo (side) content
Mono Fold-down
0/100
How much stereo content survives when summed to mono
Analysis
Spectral Contrast
0
Measures the distinction between peaks and valleys in the frequency spectrum
Spectral Flatness
0
Indicates how noise-like or tone-like your mix is, affecting perceived clarity
Spectral Centroid
0 Hz
The "center of gravity" of your sound's frequency spectrum
Analysis
Clarity Factors Visualization
Spectral Contrast: Separation between elements
Tonal Focus: Musical content vs. noise
Frequency Balance: Distribution across spectrum
Your gear
Gear tips · Saturation
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Tempo
-- BPM
Estimated tempo (beats per minute) of the track
Harmonic Complexity
0%
Richness and variety of harmonic content in the mix
Key Consistency
0%
How consistently the track stays in the detected key
Chord Changes
0/min
Rate of harmonic progression throughout the track
Analysis
Attack
N/A
Median onset→peak rise time
Transient Density
0
Rhythmic activity (not scored)
Low-end punch
N/A
Impact in the 40–250 Hz band (crest)
Transient preservation
N/A
How intact transients are vs smeared/limited
Analysis
Transient Onset Profile
Score
0
/100
Depth
0%Front-to-back layering and spatial positioning for immersive soundstage.
Width
0%Stereo field stability and balance across the frequency spectrum.
Diagnostic
Spatial readout
Interactive feature field
3D Spatial Field
Open this tab to load the spatial visualization.
The spatial visualization is unavailable for this analysis.
- X: left-channel signal
- Y: right-channel signal
- Z: high-frequency energy
- Color: stereo difference
Drag to rotate · Pinch or scroll to zoom
Your gear
Gear tips · Reverb & Delay
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Playback Optimization
0
Phase Score
0%
Phase coherence when summed to mono
Headphone Score
0%
How well the mix translates on headphones
Speaker Score
0%
How well the mix translates on speaker systems
Analysis
Analysis
Genre Diversity
0%
How mixed or pure the genre characteristics are
Tempo
0 BPM
Detected tempo contributing to genre classification
Musical Key
Unknown
Detected key for harmonic and style context
Analysis
Intended Genre Fit
--
Genre Family Tree
Vocal Coverage
0%
Percentage of track containing vocals
Vocal Segments
0
Number of detected vocal sections
Vocal Clarity
0%
Quality and definition of vocal content
Analysis
Note: AI-generated or synthesized vocals may show atypical gender characteristics. Voice classification is based on acoustic properties and may not reflect the intended voice type.
Arrangement Complexity
0%
Complexity of instrumental arrangement
Harmonic Ratio
0%
Harmonic vs percussive content balance
Instrument Diversity
0%
Variety of detected instruments
Analysis
Instrument Cue Strength
Energy Level
0/100
Overall energy and intensity of the track
Valence
0/100
Emotional positivity or negativity
Analysis
Mood Polar Diagram
High Energy Moods (top)
Positive Valence (right)
Low Energy Moods (bottom)
Negative Valence (left)
Primary Keywords
Semantic Clusters
Searchable Tags
Analysis
Read our guide
![Audio waveform visualization showing amplitude over time]()
![Spectrogram visualization showing frequency content over time]()
![Frequency spectrum visualization showing energy distribution across frequencies]()
![Chromagram visualization showing harmonic content and key distribution]()
![Stereo field visualization showing spatial distribution between left and right channels]()
![Vectorscope/Goniometer visualization showing phase correlation between left and right channels]()
![Dynamic range visualization showing compression over time and frequency]()
Waveform
Spectrogram
Frequency Spectrum
Chromagram
Stereo Field
Vectorscope
Dynamic Range
AI-Powered Mix Analysis
Powered by AI Model
Comprehensive audio analysis powered by advanced AI models that provide professional mixing and mastering insights tailored to your track
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Free AI
Quick direction check
Free AI uses an available free model, so output can vary. Treat it as a quick first read, not final mix advice.
Genre Context
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Subgenre & Style-Specific Context
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Strengths
Areas for Improvement
Suggestions
Reference Tracks
Processing Recommendations
The advice above is generic — it doesn’t have to stay that way
Generic advice“Tame the harshness around 2–4 kHz.”
Plugin-aware · example“In FabFilter Pro-Q, set a dynamic bell around 3 kHz so it only cuts when the harshness shows up.”
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Creative Enhancement Suggestions
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Balance
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