Tunebat is a comprehensive key and BPM database that covers millions of songs. Search any released track and get its key, BPM, camelot number, and basic audio features — it's a valuable reference tool for DJs, producers, and playlist curators. The fundamental difference: Tunebat looks up pre-indexed data from a database. Zeltor Labs' MusicMind engine performs real-time analysis on your uploaded audio file, running 14 cognitive layers that go beyond key and BPM to include chord progressions, tonal tension, emotional arcs, spatial width, and more.
Feature Comparison
| Feature | Zeltor Labs | Tunebat |
|---|---|---|
| Analysis method | Real-time audio analysis (your uploaded file) | Database lookup (pre-indexed catalog) |
| Key detection | Autocorrelation + chroma analysis with confidence % | Pre-indexed key from database |
| BPM detection | Onset-based with beat grid quantization | Pre-indexed BPM from database |
| Camelot notation | Key detection includes Camelot equivalent | Camelot wheel with DJ mixing suggestions |
| Upload support | Yes — MP3, WAV, FLAC | Limited — primarily database lookup |
| Unreleased music | Yes — analyze any audio file | No — catalog tracks only |
| Frequency balance | Low, mid, vocal-range and high energy estimated from the mix | Not available |
| Section detection | MusicMind Layer 1 (auto labels) | Not available |
| Chord detection | MusicMind Layer 3 | Not available |
| Tonal tension | MusicMind Layer 4 (0-1 scale) | Not available |
| Emotional arc | MusicMind Layer 7 (6 arc types) | Not available |
| Music visualization | 30+ GPU-accelerated effects | Not available |
| Confidence scoring | Percentage confidence on key and BPM | No confidence — single value from database |
| Cognitive layers | 13 MusicMind layers | Key + BPM (2 features) |
| Research-backed | Peer-reviewed music cognition studies | No published research |
| MusicMind Report | Full shareable report with 8 sections | Not available |
| Sync readiness scoring | Best clips, vocal-free windows, mood-scene matching | Not available |
| Creative DNA | Producer style, timbre fingerprint, production era | Not available |
| Spatial intelligence | Stereo width, frequency balance, mastering quality | Not available |
| Shareable report link | Unique URL for each analysis | Not available |
| Aggregate data insights | Cross-track statistics at /data | Not available |
| Key probability distribution | Bayesian multi-key confidence scoring | Not available |
| Modal detection (7 modes) | Dorian, Phrygian, Lydian, Mixolydian, Aeolian, Locrian | Not available |
| Scale identification (50+) | Blues, pentatonic, harmonic minor, world scales | Not available |
| Sub-genre classification | 30+ sub-genres with probability scores | Not available |
| Secondary dominant detection | V/V, V/vi and more with resolution tracking | Not available |
| Cadence recognition | PAC, IAC, HC, DC, plagal, deceptive | Not available |
| Voice leading quality | Smooth vs. disjunct scoring per transition | Not available |
| Harmonic sophistication (Tymoczko) | Geometric chord-space complexity score | Not available |
| Groove score (Madison) | Research-backed groove rating 0-1 | Not available |
| Clave heritage detection | Tresillo, son clave, rumba clave matching | Not available |
| BRECVEMA emotion mechanisms | 8 psychological mechanisms of musical emotion | Not available |
| Per-chord emotional quality | Lahdelma & Eerola chord emotion model | Not available |
| Melodic originality scoring | Simonton creativity model (0-1) | Not available |
| Musical surprise (IDyOM) | Information-theoretic expectancy violation | Not available |
| Room acoustics estimation | RT60, room type classification | Not available |
| Compression analysis | Dynamic range and crest factor profiling | Not available |
| Regional style influence | Ethnomusicological trait detection | Not available |
| Spectral contrast | Peak-valley spectral energy analysis | Not available |
| Harmonic grammar scoring (Rohrmeier) | Generative syntax-based chord analysis | Not available |
| Neo-Riemannian transforms (Cohn) | PLR chromatic triad transformations | Not available |
| Tonal attraction (Woolhouse) | Gravitational pull between adjacent chords | Not available |
| Musical surprise/entropy (Abdallah) | Information-theoretic expectancy violation | Not available |
| Cadence strength (Sears) | PAC, IAC, HC, DC classification + strength | Not available |
| Chromatic voice leading (Tymoczko) | Geometric chord-space distance metric | Not available |
| Syncopation degree (Witek 2014) | Inverted U-curve groove prediction | Not available |
| Groove pleasure model (Witek 2017) | Body-movement pleasure prediction | Not available |
| GEMS emotion categories (Zentner) | 9-category Geneva Emotional Music Scale | Not available |
| Frisson potential (Grewe) | Chill-trigger feature detection | Not available |
| Timbre semantics (Zacharakis) | Perceptual timbre descriptor mapping | Not available |
| Production era matching (Vickers) | Loudness war era classification | Not available |
| Room acoustics profiling (Barron) | RT60 estimation and room type classification | Not available |
Example comparison
Demo data for Neon Overload by Zeltor Kemp, a fabricated example track
Key Differentiators
Analysis vs. lookup
Tunebat retrieves pre-stored values from a database. MusicMind performs real-time audio analysis with confidence scoring — you know how certain the detection is, and it works with any audio file, not just cataloged tracks.
Beyond key and BPM
Tunebat's strength is key and BPM lookup. MusicMind adds chord progressions, section analysis, emotional arc, tonal tension, spatial intelligence, and 7 more cognitive layers — a complete understanding of your track.
Works with your unreleased music
Tunebat requires the song to be in their database. MusicMind accepts direct file uploads — analyze demos, works-in-progress, client submissions, and any audio that isn't publicly released.
Confidence, not just values
When MusicMind detects a key, it provides a confidence percentage. Tunebat gives a single value with no confidence indicator — you don't know if the database value is questionable for that particular track.
Frequently Asked Questions
Is Tunebat more accurate for key/BPM?+
Should DJs use Tunebat or MusicMind?+
Can Tunebat analyze uploaded files?+
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