Transparency
How maxxlook works — including the parts we get wrong.
Every measurement, every review decision, every limitation, in one place. If a claim below surprises you, we have failed at putting it in the product itself.
No attractiveness rating. No rank.
maxxlook will never show you a number that rates your face — not a "7.2/10", not an attractiveness score, not a percentile that ranks you against other people. Those numbers are verdicts, and a verdict is the opposite of a plan.
What a report does show: 167+ individual measurements, each with its unit; a 0–100 score next to each measurement that has a matching reference distribution (50 is the middle of the reference range, not a passing grade); and, when scores are reference-backed, their plain average — labeled as exactly that, an average of measurements, never presented as a rating of you.
We also do not rank you against other members. Per-measurement comparisons against members with matching demographics are computed only once a cohort is large enough to mean anything (fewer than 30 completed analyses: withheld entirely).
How the measurements are made
You submit six photos: front, both profiles, both quarter views, and a smile. A face-detection model maps up to 478 landmark points per photo, plus estimated ear and neck points where the model does not have them (these are marked as estimates and weighted lower).
From those points the engine computes 167+ measurements across 12 sections — width and height ratios, symmetry deltas, tilt, spread, golden-ratio deviation, facial-thirds balance, and more. Skin measurements come from pixels: texture energy, pore visibility, redness variation, under-eye shadowing. Every skin metric measures variation within your own face. We never score skin tone or absolute lightness — that would be scoring skin colour.
Some measurements cannot be made from a consumer photo at all. Fine lines, elasticity, hydration, and rosacea assessments are left unmeasured rather than given a fabricated number.
Where 0–100 scores come from — and where they don’t
A 0–100 score requires a reference distribution: what this measurement looks like across people of your age, sex, and population group. Ours are measured, not asserted: we ran the exact pipeline that scores your photos over a large, openly licensed face-image corpus (FairFace, CC BY 4.0), kept only near-frontal faces, and computed each measurement’s distribution per demographic group. Where a reference exists, your measurement is placed on it; 50 means the middle of the range, not a passing grade.
Two sections stay measurement-only on purpose. Skin metrics depend on controlled lighting, so a web-photo corpus would give misleading baselines until we derive them from capture-controlled sessions. Smile metrics depend on expression, and the corpus is overwhelmingly neutral-faced. For those you get the exact measured value — not a made-up comparison.
A score of 60 does not mean "better than 60% of people". And percentile comparisons against other members are withheld entirely until a demographic cohort has at least 30 completed analyses — publishing a ranking built on three people would be inventing precision we do not have.
Fully automated — no queue, no waiting on a person
Every analysis runs end to end without human intervention: photo quality checks, measurements, scoring, and the final report are all produced by software. There is no review queue and no approval step; your report is released the moment the pipeline finishes.
This is a deliberate trade-off. A human reviewer can catch things software cannot — but a promised reviewer who does not exist would mean reports that never arrive. The pipeline is honest about its own limits instead: measurements it cannot make from your photos are marked as unmeasured in the report rather than guessed, and every automated release decision is recorded with its reason and is auditable.
How the system stays honest without a person in the loop
There is no human correction channel and we do not pretend otherwise. Reliability instead comes from what software can check about itself: every metric carries a measured noise floor, every analysis records which measurements succeeded and which could not be made, and every automated release decision is stored with its reason so it can be audited.
Where we can verify a claim about your photos, we make it. Where we cannot, the report says so — an honest "unmeasured" is worth more than a confident guess, and it is the reason you can trust the numbers we do show.
What we can and cannot detect over time
Between full analyses, weekly skin checks measure the same metrics from a single selfie. Each check is compared against your own previous readings — a change measured against yourself needs no population reference, which is the most defensible number this platform produces.
Every metric carries a minimum detectable change: a noise floor below which we tell you "within noise" rather than showing a trend. Be clear about what that floor is: it is derived from controlled perturbation tests of photographs (re-capture simulation under lighting, angle, and compression changes) plus conservative assumptions — a floor, not a clinical test–retest study. We treat it as provisional, publish how each figure was derived next to where it is shown, and would rather show "no measurable change" than celebrate noise.
Habit insights pair your adherence with skin trends — but they always say correlation is not proof. We would rather under-claim a real effect than teach you to celebrate random noise.
Visualizations are illustrations, not predictions
Before/after pairs are produced by constrained, photometric transforms — smoothing skin texture within the skin mask, subtly lifting under-eye shadow, refining jawline contrast. Each is checked to preserve at least 95% structural similarity with your photo, so the image is always recognizably you.
They are labeled "Illustrative concept — not a predicted result". No generative model invents a future face. That would be a promise we cannot keep.
What happens to your photos and data
Analysis photos are encrypted in transit and at rest (AES-256 via AWS KMS). Skin-check photos and free-preview photos are measured in memory and discarded — never stored. Biometric consent is explicit, enforced server-side, and withdrawable at any time.
We do not sell biometric data. We do not track you across other companies’ apps. We do not rank users against one another. Account deletion permanently removes your data within 30 days.
You can export your data at any time from account settings.
What this is not
maxxlook is not a medical or dermatological assessment. It does not diagnose conditions, and it is not a substitute for a physician or dermatologist. It is an appearance-focused measurement and habit-planning tool for adults 18 and older.
If you are struggling with how you feel about your appearance, the resources below are here, always:
Small, consistent steps. Honest measurements.
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