Rate my face — scored 0–100 in 60 seconds

This is the question that actually matters when you ask an app to rate your looks, and it deserves a real answer rather than a marketing one. Most face-rating sites are golden-ratio calculators: they compare your proportions to a fixed template and never check whether that template matches how real people rate real faces. On the standard academic benchmark, that golden-ratio approach reaches only about r ≈ 0.55–0.65 correlation with human ratings — which is why a "beauty calculator" can hand you a harsh number out of 10 that no actual person would agree with.

RealSmile's Face Score is measured differently. We ran our production pipeline against SCUT-FBP5500 — 5,500 face photos, each independently rated for attractiveness by 60 people — using 5-fold cross-validation, so every number is scored on faces the model never saw while fitting. The Face Score reaches a cross-validated r ≈ 0.8 against the averaged human ratings (consistent across male and female subsets). For reference, the best published deep-learning models on this benchmark reach r ≈ 0.85–0.90.

We hold ourselves to the same test. Our original 17-metric geometry blend failed it — no positive correlation with human ratings (r ≈ −0.33) — so we published that finding and stopped presenting the geometry as an attractiveness number. To our knowledge, no other "rate my looks" tool publishes any validation of its scoring against human ratings at all.

When people search "rate my looks", half of them want a validated number and half want real people to weigh in. RealSmile is the only tool that gives you both on the same photo. Your Face Score is the validated AI read (r ≈ 0.8 vs human ratings); your Human Score is the average of 10+ real people rating your photo 1–10 — free, numbers only, moderated, and deletable anytime.

Put them head-to-head and the comparison is genuinely useful. If the AI and the crowd both land you in the same band, that is a strong, stable signal about how a still photo of you reads. If they diverge, it usually points at something specific — an expression or lighting quirk the model reads differently than a person does — worth fixing before you use the photo for dating apps or LinkedIn. No golden-ratio calculator can offer this, because none of them have a validated number or a real crowd behind it.

The AI loads a 68-point facial landmark model (a TensorFlow.js implementation derived from the iBUG 300-W landmark spec) and locates the corners of your eyes, the nasal tip, the philtrum, the zygion (cheekbone) points, the gonion (jaw angle) points, and the upper and lower lip border. From those landmarks, four distinct measurement passes run in sequence.

Symmetry is computed by mirroring the left half of the face onto the right and measuring landmark displacement at matched points. The score reports millimeter-equivalent deviation normalized by interpupillary distance — the same normalization used in clinical craniofacial papers so the score is independent of how close you are to the camera.

Smile authenticity uses Duchenne markers from Ekman & Friesen's Facial Action Coding System (FACS): AU6 (orbicularis oculi cheek raise) co-occurring with AU12 (zygomaticus major lip corner pull). A polite smile activates AU12 alone; a genuine smile activates both. The AI measures crow's-feet bunching above and below the lateral canthus and compares it to lip corner elevation.

Eye warmth measures palpebral aperture narrowing and lower eyelid bunching — the eye-side correlates of a real smile. Expression score aggregates cheek raise, mouth corner curvature, brow tension, and overall facial relaxation into a composite. These four readings are diagnostic — they explain what moves your rating. The rating itself is your Face Score, a percentile validated against 5,500 human-rated faces (r ≈ 0.8), which approximately corresponds to a 1–10 face rating scale.

A face rating is a single-photo, single-moment snapshot. It is not your "value" or your "ceiling" — it is the strength of the first impression that this specific photo creates. The same person photographed five minutes apart, with the same outfit, in the same room, can score thirty points apart depending on whether they were genuinely smiling, whether the light was on their face or behind it, and whether the camera was below or above eye level.

The most useful interpretation is comparative. If you upload your three best photos and one scores 78 while the others score 52, 56, and 61, the AI is telling you which photo creates the strongest first impression — and the gap between them is almost entirely about expression and lighting, not facial structure. That is the single most valuable signal a face rater can give you, because it is actionable.

Treat the absolute number with healthy skepticism. Treat the ranking between your own photos with serious attention. Use the score to find the photo that consistently leads with your best expression, then use that one for dating apps, LinkedIn, or your professional headshot. If your priority is LinkedIn or executive presence rather than dating, the same 17 metrics can be re-weighted for competence and Recruiter Confidence. If you want to see what each of the 17 measurements means — what it reads from a photo, what it isn’t, and whether you can change it — the full breakdown is worth a read.

Photofeeler (per their 2026 pricing page) crowdsources human votes at roughly $0.20 per vote, with results returned in hours to days. Useful for absolute attractiveness ratings from real people; not useful when you need a result before posting a profile tonight.

QOVES charges $150/year (per their 2026 FAQ page) for human-reviewed reports. The depth is real, but the unit price gates first-time users.

Aurale (per testimonial copy indexed on aurale.app, 2026) is $49 one-time with a 30-day money-back guarantee. Your photo is uploaded to their server for processing.

Umax uses an Adapty paywall ladder of weekly/monthly subscriptions ($3.99–$24.99 SKU range as of their 2024 ledger). Photo uploaded to server.

RealSmile face rating is free and instant, and processes your photo in memory without storing it. Any optional upgrade is one-time pricing — no subscription, no re-billing — unlike the competitors above. See how we stack up on the QOVES alternative page, or read the academic citations behind our scoring.