Measure your masculine bone structure in 10 seconds

A masculinity test measures how masculine your facial bone structure reads — using objective metrics like jawline sharpness, FWHR, brow ridge projection, canthal tilt, and midface compression. RealSmile runs 17 of these measurements from a single photo and gives you a percentile rank for each.

We detect 68+ facial landmarks with TensorFlow.js, calculate proportional ratios (FWHR, mandible-to-midface, canthal tilt degrees), and benchmark them against a calibrated dataset. You get a percentile for each metric plus a composite masculinity score.

Three differences. (1) Price: $14.99 one-time vs Umax's ~$207/year annualized. (2) No app download — runs in your browser. (3) No subscription, no invite-3-friends dark pattern. You pay once and own the report.

No. All analysis runs client-side in your browser via TensorFlow.js. Your photo never touches our servers. This is a core design choice, not a marketing line.

Bone structure is fixed, but perceived masculinity is not. Lower body fat sharpens jawline definition, mewing and posture affect midface projection, beard shaping alters jaw perception, and angle/lighting change FWHR readings by 10-15%. The paid report includes a 7-day improvement plan tied to your specific weak metrics.

In published sex-dimorphism research (Perrett et al., 1998), the features that most reliably separate male-typical from female-typical faces are a prominent brow ridge sitting close to the eyes, a wider and more angular jaw, a higher facial width-to-height ratio, a forward-projected chin, and a straighter nasal bridge. Perceived masculinity tracks the combination rather than any single feature — which is why the scan scores each of these separately and weights them into one composite.

In published anthropometric data the average facial width-to-height ratio is about 1.85, with most adults between 1.75 and 1.95. Ratios above 2.0 are associated with perceived dominance (Carré & McCormick, 2008; Geniole et al., 2015 — with smaller effect sizes than originally reported). Our scan gives full credit in the 1.85–2.1 band for male-calibrated scoring, versus 1.65–1.85 for female-calibrated scoring.

Published research links androgen exposure during puberty to the development of male-typical features — brow ridge prominence, jaw width, and chin projection (Perrett et al., 1998). That is a developmental association, not an adult lever: once growth is complete the facial skeleton is set, and no supplement or training protocol has been shown to reshape it. Adult changes in perceived masculinity come from soft tissue — body-fat level, masseter size, and posture — which is what the timeline above covers. None of this is medical advice.

Yes. A brow that sits closer to the eyes makes the supraorbital ridge look more prominent, which reads as masculine in sex-dimorphism research. The scan measures the vertical gap between the brow line and the eye line as a fraction of face height and gives full credit in the 0.03–0.07 band for male-calibrated scoring — one of five gender-differentiated bands used in the composite.

Calibrated for ages 16-55. Under 16, facial bones are still developing so scores may understate your final structure. Over 55, skin laxity can obscure bone landmarks.

The model benchmarks against a multi-ethnic dataset. Absolute measurements (FWHR, canthal tilt in degrees) are objective; percentile ranks are relative to the full dataset, not ethnicity-specific.

$14.99 for the Full Report — a one-time payment, and the PDF is yours to keep. Pro is a separate, optional subscription if you want unlimited rescans and progress tracking; cancel anytime.