RealSmile vs PrettyScale: Which Face Analyzer Is More Accurate?

The core difference: one score vs a per-metric read

PrettyScale produces a single attractiveness percentage on a 1-100 scale, framed on its homepage as "Rate my face 1-100. How beautiful am I?" It does not tell you why you scored that way, which features contributed, or what you could change. The site itself describes the scoring as performed by a "blind computer beauty calculator" and explicitly notes the result "could be incorrect" — language that is honest but also tells you the output is not built for action, only for curiosity.

RealSmile uses 68-point facial landmark detection, running in your browser on desktop and on our scan server on mobile. The engine calculates 17 geometric metrics (canthal tilt, FWHR, jaw taper, symmetry, hunter eye index, midface ratio, philtrum ratio and more). The free scan shows your Face Score (a percentile) and your strongest metric; the $14.99 report scores every metric your photo supports (typically 15 of the 17), each placed against everyone who has scanned here. If your jaw taper reads below the middle, you know which specific metric is dragging your composite and which intervention (mewing, body-fat loss, posture work) actually targets that metric.

Privacy: server upload vs on-device inference

PrettyScale\'s privacy statement, taken from the site\'s own homepage, says "your information and uploaded photos are not saved or shared." That is a stated policy claim, not a structural guarantee — the photo is still uploaded to PrettyScale\'s servers for processing, and the user is trusting the operator\'s no-retention claim. RealSmile runs the free scan in your browser through TensorFlow.js on desktop; on mobile the photo is processed in memory on our scan server and deleted immediately after the landmarks are measured, so either way it is not kept unless you choose to save it. For most users this distinction is academic; for sensitive use cases — minors, professionals, anyone who would not be comfortable if the photo somehow leaked — on-device inference, which RealSmile runs from a desktop browser, is structurally stricter than a "we promise we do not store it" server-side flow.

When PrettyScale wins

There are use cases where PrettyScale is genuinely the right pick, and the comparison should say so. PrettyScale wins when you want a single curiosity number with no signup, no email, and no upgrade path — the user experience is "upload, wait, see a number, close the tab." It also wins when you do not need a methodology page, a citation list, or an actionable plan; if the question is "give me a vibe check, then I am moving on," PrettyScale closes that loop in under five minutes with zero commitment. Finally, PrettyScale\'s body test (linked from the homepage) is a feature RealSmile does not currently offer — if you want a single-tool flow that covers both face and body curiosity scoring on the same site, PrettyScale covers ground we do not.

When RealSmile wins

RealSmile is the better pick when you want depth instead of a single number. The free scan returns your Face Score (a percentile) and your strongest metric in roughly 10 seconds, and the $14.99 report breaks out every metric your photo supports — about 18x faster than PrettyScale\'s self-described 3-minute analysis flow. It is also the better pick when you want a published methodology: RealSmile\'s 17-metric layer is documented at /research/citations with NIH-cited priors (PMC3130383, Carre & McCormick on FWHR, Todorov on first-impression formation), while PrettyScale\'s scoring layer is opaque. RealSmile wins on multi-photo audit — the $19.99 Premium Dating Photo Audit accepts up to 10 photos, scores 17 metrics on each, and returns a ranked lead-photo plus an explicit delete-list, which is the deliverable that actually closes a "which Hinge photo should I lead with" decision. And RealSmile wins on reproducibility: the scoring layer is deterministic by design, so the same input photo returns the same composite score across sessions, which is not consistently true of opaque server-side scoring. For users who want to see what the deeper output looks like before paying, RealSmile publishes a comprehensive AI face report walkthrough showing the per-metric breakdown, the Face Score percentile, and the glow-up plan that ships with every audit.

Verdict by user type

Different users want different things from a face tool, and the right pick depends on the question you are actually trying to answer. Here is a four-way breakdown so you can self-route.

• Curiosity user (one-shot vibe check): PrettyScale is fine. You upload, you get a number, you close the tab. Anything more is overkill for the question you are asking.
• Looksmaxxer (wants a per-metric breakdown): RealSmile. The free scan names the metric dragging your composite, and the report's glow-up plan tells you what to do about it.
• Dating-app user (picking lead photo for Tinder / Hinge / Bumble): RealSmile\'s $19.99 Premium Dating Photo Audit. Multi-photo ranking with a lead-pick and a delete-list is the deliverable that closes the photo-selection decision; a single-score classifier does not.
• Privacy-first user (does not want photos kept anywhere): RealSmile\'s free tier. On desktop, inference runs on-device in your browser; on mobile the photo is processed in memory server-side and deleted instantly. Either way nothing is kept unless you choose to save it. PrettyScale uploads and stores, which is fine for most users but disqualifying for some.

Frequently asked questions