Clinical mastering · AI + human · precision sound

Your track has a diagnosis.
Not just a volume knob.

LookyMaster examines your song across ten clinically-anchored frequency zones, shows you exactly what's wrong, and masters it with the fix — in your browser.

◉ Your song never leaves your computer. Nothing uploads. Ever.

From $25/mo · cancel anytime · your audio never uploads
◉ Patent pending 64/132,904
SUBBASSWARMTHVOICE-LOWVOICEWORDSPRESENCEEDGECLARITYAIR
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Clinically anchored

Every zone boundary traces to published research.

🧬
AI + human hybrid

Masters generative, hybrid, or fully human tracks the same way.

🔒
Private & local

100% client-side. Zero uploads, ever.

🎛
Full frequency control

Seven zones, physiologically anchored — not just loud.

🎯
Patent-pending precision

U.S. application 64/132,904 — a method, not a preset.

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Fast & powerful

Full diagnosis in seconds, right in your browser.

25-master corpusProfiled against commercial releases −1.0 dBTPCeiling guaranteed by measurement 7 zonesSpectral anatomy, every border cited 100% client-sideZero upload, ever
Patent-pending technology

See how our system works.

Two minutes, unscripted — the ten-zone diagnosis, the treat-only-the-sick mastering, the cymatic plates, live. Not a mockup: this is the actual tool, patent pending U.S. application no. 64/132,904.

◉ Live capture of the real tool — the ten-plate cymatic view reading a track. Want the full walkthrough with sound? Watch the 2-minute demo (59 MB — heavy on slow connections).

LookyMaster alien mascot pointing at you
The problem

Every recording has a signature. Aberrations the ear pays for — and generic mastering doesn't see.

AI-generated, hybrid, or fully human — every production carries its own aberrations. Scanned closely, they resolve into artifacts that interfere with the regions where human hearing lives — and research associates energy in some bands with listening fatigue and hearing damage. Our filter system was developed from that science: find each artifact, treat it, bound the doses.

2.5–5.5 kHz

The aversion & damage band

Research places listener aversion at 2.5–5.5 kHz and noise-induced hearing damage near 4 kHz. Harsh energy here fatigues every ear. Our dose caps are strictest in this band — by design, for every genre.

grid

Detuned harmonic families

One slightly-off fundamental poisons every band — common in AI renders, live takes, and vintage samples alike. We detect the family and name the single root cause.

1–4 kHz

The presence dip

Vocals behind a blanket — the signature of home studios and generative renders both. We lift clarity below the ear-canal resonance: presence without the fatigue penalty.

>3.4 kHz

Static machine residue

Frozen, unchanging high-frequency lines that real cymbals and breath never produce — from generators, plugins, or damaged converters. Detected by physics, dipped surgically.

no address

Phase-coincidence spikes

Neural generators are trained by phase-blind losses — so they ship faint ticks made of many small components aligning at once. Measured: 14–100× the spike density of non-neural audio. We detect the alignments and scatter them — spectrum untouched.

~17.6 kHz

The bandwidth ceiling

AI renders and heavy processing chains cut the top octave dead. A blind "air boost" amplifies silence — the honest fix is slope-matched bandwidth extension.

The instrument

Seven plates. Every border is physiology, not a round number.

Your track's standing-wave patterns, drawn live per zone — voice floor at 250 Hz, the mud line at 700, the F1/F2 formant border at 1.2 k, the ear-canal resonance at 3.43 k. When a plate looks sick, the name of the plate is half the diagnosis.

BASS
<250 Hz
H 92% ✓
BODY
250–700
H 88% ✓
VOICE
700–1.2k
H 81% ✓
WORDS
1.2–2k
H 47% → dip 946 Hz
CLARITY
2–3.4k
H 76% ✓
EDGE
3.4–6k
static line +61 dB
AIR
>6k
no lines ✓
ZoneWORDS · 1.2–2 kHz
Harmonicity47%
Findingfails — localized dip at 946 Hz
The engine's moveone dip at the measured offender

Click any plate above to read its zone — example exam, the same track pictured in The Physics.

The diagnosis, as the report reads it

Sub-bass foundation
clean low end, harmonicity 92%
HEALTHY
Presence continuity
WORDS fails harmonicity — dip at 946 Hz
TREAT — ONE DIP
Static machine residue
EDGE carries a frozen line +61 dB over its floor
TREAT — BOUNDED
Bandwidth ceiling
AIR intact — no lines, top octave alive
HEALTHY

Treated only where sick

BASS
BODY
VOICE
WORDS
CLARITY
EDGE
AIR
■ before  ■ after — five zones pass untouched; WORDS lifted at its measured dip, EDGE attenuated inside the aversion band

Processing map

BASS
untouched
BODY
untouched
VOICE
untouched
WORDS
dip @ 946 Hz
CLARITY
untouched
EDGE
line removed
AIR
untouched
Healthy tissue is never treated — the engine's core rule, shown on the same example exam pictured in The Physics below.

Example exam — the same track whose plates and report appear in The Physics section. Illustrative of how a report reads; your track gets its own measured numbers.

LookyMaster alien mascot in front of a neon ring
The physics

The algorithm, drawn. Why no two zones look alike.

Each zone is rendered as a Chladni plate — the physics of a vibrating surface, where a tone's frequency sets the pattern's complexity by the plate law f ∝ n²+m². Low frequencies can only draw a few sweeping curves; high frequencies force fine lattices. That's why BASS blooms like a star and AIR weaves a grid — the shapes aren't styled, they're computed.

Exploded stack of cymatic plates, SUB through AIR, each labeled with its frequency range and harmonicity diagnosis
A real exam. Five zones healthy (green) — untouched by the engine. WORDS fails harmonicity → one dip at the measured offender, 946 Hz. EDGE carries a static machine line +61 dB above its floor → attenuated inside the aversion band. Healthy tissue is never treated.
Seven stacked cymatic plates in a row, sparse curves at BASS progressing to fine grids at AIR
Left to right: modal order rising with frequency. A trained eye reads a mix from these figures the way a physician reads a chart — which is exactly the point. Violin makers have tuned instruments by these same standing-wave patterns since Carleen Hutchins formalized plate tuning (Scientific American, 1981) — the luthier carves wood until the pattern is right; we read your track's patterns to see if it is. Patent pending 64/132,904. The full research — what violin makers know about sound →
The same physics on a real bench: powder on a vibrating plate slides off the moving regions and settles on the still nodal lines — the pattern IS the plate's resonance, drawn by the plate itself. Left, the classic square Chladni plate — the exact geometry our ten digital plates simulate. Center, a violin back — clip from "Violin Back Plate Tuning" by luthier Michael McKinley. Right, a guitar top driven by an electromagnetic exciter — the same wood our reference plate is modeled on. Our plates compute these figures from your track's spectrum instead of powder.
New here? Start with the physics itself
"Cymatics Explained in 5 minutes" — Music Minded by Leonardo Muller-Rodriguez, embedded from YouTube. Not our footage; the same standing-wave physics our ten plates compute live from your track's own spectrum, every time you master.
LookyMaster alien mascot in a backwards cap
How it works

Drop a file. Read the chart. Press one button.

Drop your track

WAV, MP3, FLAC. It opens in your browser's own audio engine — our servers never see a single sample.

Get the diagnosis

Seven plates, harmonicity per zone, tick census, loudness, true peak, listening-fatigue read — with healthy ranges shown next to your numbers.

One-press master

Streaming spec, commercial loud, or Smart Layers — which treats only the zones that are actually sick and leaves healthy ones untouched.

Verify, then export

Before/after table, volume-matched A/B so louder can't masquerade as better, 24-bit WAV out. Every claim measured.

The chain — treat only what needs treatment
Zone EQtonal balance, physiologically anchored borders
Harshness guarddynamic bells, fire only on stabs
Resonance tamermatched notch at measured persistent peaks
Groove guardrhythmic low end kept, between-beat ringing eased
Stereo & bass-monowidth with an elliptical low-end anchor
Loudness & limiter−1.0 dBTP ceiling, guaranteed by measurement
Dither & export24-bit WAV, volume-matched A/B first

● = stages that engaged on the example exam. Idle stages sit at unity — healthy material passes through them bit-transparent.

◉ PRIVATE BY ARCHITECTURE

Other services upload your unreleased music to their servers. LookyMaster's entire engine runs client-side — your demos, your stems, your unreleased album stay on your machine. Not a policy promise. A physical fact.

The science

Designed by a physician. Every threshold has a citation.

LookyMaster was created by Dr. Willis Dennis Grajales, O.D. — a Doctor of Optometry, inventor, and researcher who spent a career measuring how the eye focuses light, applying the same discipline to how the ear receives sound.

The engine treats the 2.5–5.5 kHz listener-aversion band with documented caution, guards the 4 kHz region where noise exposure carves its notch, and refuses moves that trade short-term "impressiveness" for listening fatigue. Loud is easy. Comfortable-for-an-hour is engineering.

Where competitors ship a black box, every LookyMaster threshold traces to published research — and the diagnosis screen shows you the numbers, the healthy ranges, and the reason.

SELECTED REFERENCES IN THE ENGINE
  • Kumar et al. 2008/2012 — aversive spectral region 2.5–5.5 kHz
  • McBride & Williams 2001 — the 4 kHz noise-damage notch
  • Zekveld & Kramer 2010 — pupillometry & listening effort
  • Plomp & Levelt 1965 — roughness & critical bandwidth
  • McDermott et al. 2010 — harmonicity & pleasantness
The actual problem

Loud is easy to hear. Comfortable-for-an-hour is the hard part.

Most mastering optimizes for the first ten seconds — bright, loud, impressive on a phone speaker. What it doesn't measure is what happens by minute three: research on listening effort (Zekveld & Kramer, 2010) shows the brain works harder to process harsh, fatiguing energy, even when a listener can't consciously name why a track feels tiring. That's the problem this engine was built to see and treat — not by making tracks quieter, but by finding which specific band is doing the tiring, and bounding it.

CLARITY
2–3.4k · intelligibility
unbounded ✓
EDGE
3.4–6k · aversion + damage notch
dose-capped

Two plates, two different jobs. CLARITY carries intelligibility — vocals cutting through — and the engine lifts it freely. EDGE overlaps the published listener-aversion band and the frequency region associated with noise-exposure damage in the hearing-research literature, so correction there is bounded rather than pushed for impact. Same plate architecture the diagnosis screen shows you on every track — this isn't a separate "safety mode," it's the same engine, watching the same zones, every time.

◉ WHAT WE DON'T CLAIM

LookyMaster is not a medical device and does not diagnose, treat, or prevent any hearing condition. Its dose-capping reflects published audiology research applied to mastering decisions — bounding correction inside research-identified risk bands, at the mastering stage, rather than pursuing impact there. Actual listening exposure is governed by playback volume and duration, which this tool doesn't control. See our Terms of Service for the complete statement.

Beyond what you can hear

Inaudible isn't the same as harmless.

Below 20 Hz and above 20 kHz sit outside the range human hearing evolved for — infrasound and ultrasound. Neither shows up as "sound" the way a listener would describe it. But a growing body of published research finds that exposure to both bands produces measurable effects even when nobody in the room can consciously hear a thing.

Infrasound · <20 Hz

Measurable stress response, no audible cue

A 2026 controlled study found that infrasound around 18 Hz raised salivary cortisol and produced negative emotional responses in participants who could not consciously detect the sound — the effect held regardless of what participants expected to feel. A separate systematic review of the general population found infrasound and low-frequency noise exposure associated with annoyance, sleep disruption, concentration difficulty, and headache.

Ultrasound · >20 kHz

Adverse symptoms in controlled exposure

A 2018 laboratory study exposed participants to very-high-frequency sound and ultrasound (13.5–20 kHz) and recorded adverse symptoms including nausea, dizziness, headache, fatigue, and tinnitus. A companion survey measured real-world ultrasound sources in public buildings — PA systems, sensors, pest deterrents — and found exposure levels exceeding existing guideline limits, guidelines the authors themselves called inadequate.

◉ Patent pending 64/132,904 Our filters cut both bands at 36 dB/octave — measured −65 dB at 8 Hz, −93 dB at 22 kHz Every master, by default — not a toggle you have to find
◉ WHAT WE DON'T CLAIM

This research describes population- and laboratory-level findings, not a guarantee for any individual. LookyMaster's bandwidth filters remove infrasonic and ultrasonic content from the file itself; they cannot control other sources of infrasound or ultrasound in a listener's environment, and LookyMaster is not a medical device. See our Terms of Service.

Infographic summarizing the four peer-reviewed references on infrasound and ultra high-frequency sound research: Scatterty et al. 2026, Baliatsas et al. 2016, and two Fletcher et al. 2018 papers in JASA
Selected references — with links Scatterty, VonStein, Prichard, Franczak, Hamilton & Schmaltz (2026). Infrasound exposure is linked to aversive responding, negative appraisal, and elevated salivary cortisol in humans. Frontiers in Behavioral Neuroscience 20. doi:10.3389/fnbeh.2026.1729876
Baliatsas, van Kamp, van Poll & Yzermans (2016). Health effects from low-frequency noise and infrasound in the general population: is it time to listen? A systematic review of observational studies. Science of the Total Environment 557–558. doi:10.1016/j.scitotenv.2016.03.065
Fletcher, Lloyd Jones, White, Dolder, Leighton & Lineton (2018). Effects of very high-frequency sound and ultrasound on humans, Part I. JASA 144(4). doi:10.1121/1.5063819
Fletcher, Lloyd Jones, White, Dolder, Lineton & Leighton (2018). Public exposure to ultrasound and very high-frequency sound in air. JASA 144(4). doi:10.1121/1.5063817

Curious how this connects to mood, not just risk? Read the fuller research page → — natural soundscapes, why frequency-specific engineering works, and what we deliberately left out.

Research

One instrument. Any signal with a spectrum.

The same architecture that diagnoses a song — anchored zones, per-zone detectors, harmonicity in cents, static-line physics, standing-wave figures — reads any ordered sound. Patent-pending across these domains.

LIVE NOW

🎵 Music & spoken word

Full diagnosis and mastering — songs, podcasts, video audio. The ten-plate exam, one-press treatment, verified export.

EARLY ACCESS

🐝 Hive & pollinator sound

Upload a hive recording — wingbeat fundamentals, their harmonic order, and cymatic signatures read colony state the way our plates read a mix. For beekeepers and researchers.

EARLY ACCESS

⚙️ Engine & machinery

Upload an engine or machine recording — firing-order grids, off-grid fault tones, and static-line whine detected with the same physics. Condition monitoring and end-of-line QC.

Early-access domains ship under the Scientific Research tier — diagnosis and comparison reports only, no treatment applied. Compare two aircraft with the same engine, two hives, the same machine before and after service.

LookyMaster alien mascot standing in headphones
Pricing

Two instruments. Paid members only.

Every account is a verified, subscribed member — no free tier, no anonymous traffic. Pick the instrument that matches your work.

Master
$25/month
  • Unlimited analysis & ten-plate diagnosis
  • Unlimited one-press masters
  • Smart Layers targeted treatment
  • Streaming-spec + commercial-loud exports of every track
  • 24-bit WAV, −1.0 dBTP guaranteed
  • Volume-matched A/B verification
Master your music
Scientific Research
$200/month
  • Everything in Master
  • Research domains: hive & pollinator, engine & machinery, aircraft sound
  • Seven-plate exam on any uploaded recording — every border physiology, not a round number
  • Cymatic layer representation per zone
  • Side-by-side comparison of two recordings: two aircraft of the same engine model, two hives, before/after maintenance
  • Signature divergence report — which zone, which tone, how far apart
  • Exportable data & figures for publication
Request research access
Founding subscribers keep their rate while continuously active. Research tier is early access: diagnosis and comparison reports only; for research and monitoring use. See Terms.
Questions

Fair questions, straight answers.

Does my song really never upload?

Really. The mastering engine is delivered to your browser and runs on your computer's own processor. Your audio never crosses the network. That's also why it's fast — there's no queue.

Is this only for AI-generated tracks?

No — the engine examines AI, hybrid, and fully human recordings the same way: scan for aberrations, diagnose each zone, treat only what fails. Detectors specific to synthetic artifacts simply stay quiet when a recording doesn't have them.

How is this different from LANDR or eMastered?

Three ways: it shows you the diagnosis instead of a black box; it's built around the specific defects of AI-generated tracks; and it runs locally, so your unreleased music stays yours.

Is Spotify's loudness normalization handled?

Yes. The streaming-spec master targets −14 LUFS with a −1.0 dBTP ceiling — full playlist loudness parity with headroom to survive lossy encoding. A separate commercial-loud export covers DJs and direct downloads.

Is this a medical product?

No. LookyMaster's hearing-related features reflect published audiology research applied to mastering decisions. It is not a medical device and does not provide medical advice.

Ready

Hear what your track was trying to be.