Looksmaxxing Test
17 metrics · AI glow-up plan
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Face Metrics
measured in the looksmaxxing test
Explore
PrettyScale returns a single 1-100 attractiveness score after a roughly three-minute upload-and-wait flow. RealSmile breaks down 10 measurable facial metrics in about 10 seconds, with percentile rankings and a ranked improvement plan. Here is the honest, side-by-side comparison: a 16-row decision matrix that covers pricing, citations, photo handling, watermarks, signup gate, monetization, refresh cadence, and founder transparency, an FAQ that links 1:1 to the FAQ schema below, and an honest "when each tool wins" section so you can pick the right one for your actual question.
Bottom line up front
PrettyScale is fast, free, and gives you a single number. RealSmile gives you 10 specific metrics with percentile rankings and a ranked glow-up plan in roughly the same time. If you want a curiosity score, PrettyScale works. If you want to know which feature is moving your score and what to do about it, RealSmile is the deeper read.
The quickest way to pick between two tools is to see them lined up across the dimensions that actually drive a buying decision. Below is a 16-row head-to-head covering pricing, sub-metric depth, peer-reviewed citations, photo handling, signup gate, watermarks, mobile vs desktop parity, time to result, score reproducibility, monetization model, update frequency, founder transparency, and refund posture. Where we are confident about PrettyScale facts we cite the public homepage; where we are not, we use generic phrasing rather than fabricate competitor stats. Sourced from each tool\'s public homepage and product copy at the time of this writing.
| Feature | RealSmile | PrettyScale |
|---|---|---|
| Pricing | Free 10-metric scan; $29 / $39 / $99 / $149 paid ladder | Free, no visible paid tier |
| Number of metrics | 10 geometric metrics on free tier; 17-metric breakdown on the $49 audit | Single composite 1-100 score; no sub-metric breakdown |
| Result depth / report length | Per-metric percentiles + ranked glow-up plan; 5-page PDF on the audit | Single percentage with a short text note |
| Methodology citations | Inline PMC2781897 (symmetry), PMC2826778 (FWHR), PMID 16313657 (canthal tilt) | No peer-reviewed citations; "blind computer beauty calculator" |
| Photo handling / privacy | On-device inference on desktop; photo never leaves browser on free tier | Photo uploaded to server; site states it is not saved or shared |
| Signup gate | No account, no email capture, no upgrade modal between you and the result | No signup on the free face test per the public homepage |
| Watermarks on results | No watermarks on the free score, percentile, plan, or audit PDF | No watermarks on the free result page; result is on-screen text |
| Mobile vs desktop parity | Same metrics on phone and desktop; client-side on desktop, server on mobile | Browser-based on both; same result flow regardless of device |
| Time to result | ~10 seconds end-to-end for the free 10-metric scan | ~3 minutes per the site's own homepage copy |
| Multi-photo audit | $49 Premium Dating Photo Audit accepts up to 10 photos with lead-pick + delete-list | Single-photo only; no multi-photo lead-pick or delete-list |
| Score reproducibility | Deterministic; same photo returns the same composite across sessions | Users have reported score drift across sessions on the same photo |
| Improvement plan | Ranked, per-metric glow-up plan tied to specific percentiles | Brief text note; no actionable per-metric plan |
| AdSense / monetization model | No display ads; revenue from the $29 / $39 / $99 / $149 paid ladder only | Free product; monetization model not publicly disclosed on the homepage |
| Update frequency / freshness | This page dateModified 2026-05-04; methodology page versioned at /research/citations | No public changelog or last-updated date on the face test page |
| Founder / brand transparency | Public RealSmile Team byline, /reviews, /research/citations, methodology page | Operator-anonymous; no public founder, methodology page, or changelog |
| Refund window | 7-day refund on $49 / $99 paid tiers | N/A; free product, no paid tier to refund |
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 entirely in your browser. It measures 10 distinct geometric metrics in the free tier — canthal tilt, FWHR, jawline angle, symmetry score, hunter eye index, midface ratio, philtrum length, lip-to-chin ratio, lower-third proportion, and ogee curve — each with a percentile ranking against population data. If your jawline scores at the 38th percentile, you know which specific metric is dragging your composite and which intervention (mewing, body-fat loss, posture work) actually targets that metric.
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 10-metric scan entirely in your browser through TensorFlow.js, which means the photo never leaves your device unless you opt in to the paid audit. 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 is structurally stricter than a "we promise we do not store it" server-side flow.
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.
RealSmile is the better pick when you want depth instead of a single number. The free scan returns 10 geometric metrics with population percentiles in roughly 10 seconds — 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 (PMC2781897, Carre & McCormick on FWHR, Todorov on first-impression formation), while PrettyScale\'s scoring layer is opaque. RealSmile wins on multi-photo audit — the $49 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, percentile ranking, and glow-up plan that ships with every audit.
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.
Is PrettyScale free to use?
Based on prettyscale.com's public homepage, the face beauty test is presented as a free online tool with no account required. The site advertises a face test and a separate body test, both upload-driven. There is no visible paid tier or premium PDF. RealSmile is also free to scan — the 10-metric core analysis is free at /looksmaxxing-test, and the paid ladder is opt-in: $29 for a single-photo rank, $49 for the Premium Dating Photo Audit (5-page personalized PDF, 17 metrics on each of up to 10 photos, lead-photo identification, delete-list, written improvement plan), and $99 for the audit plus an identity-locked AI glow-up preview.
Does PrettyScale store or share your photo?
According to prettyscale.com's on-site privacy statement, "your information and uploaded photos are not saved or shared" and the site frames its scoring as performed by a "blind computer beauty calculator." However, the photo is still uploaded to the server for processing rather than analyzed on-device, so the privacy bar is "trust the operator's no-storage claim." RealSmile structurally avoids that question on the free tier — the 10-metric scan runs entirely in your browser through TensorFlow.js, which means the photo never leaves your device unless you choose to opt in to the paid audit. For users whose privacy bar is "I do not want my photo on a server in the first place," on-device inference is the structurally stricter posture.
How does RealSmile differ from PrettyScale?
PrettyScale returns a single 1-100 attractiveness score plus a short text note. RealSmile returns 10 distinct geometric metrics — canthal tilt, FWHR, jawline angle, midface ratio, philtrum length, lip-to-chin ratio, hunter eye index, symmetry score, lower-third proportion, and ogee curve — each with a percentile ranking against population data and a ranked improvement plan. The functional difference is depth and actionability: a single score tells you a number; a metric breakdown tells you which specific feature is moving the number and what to do about it. PrettyScale's methodology page is not public, while RealSmile publishes a 17-metric breakdown at /research/citations with NIH-cited research priors.
Are the scores from PrettyScale and RealSmile the same?
No — the two tools report different things on different scales. PrettyScale outputs a single 1-100 attractiveness percentage, framed as an overall beauty estimate. RealSmile outputs per-metric percentile rankings (e.g., "your canthal tilt is at the 42nd percentile") plus a composite looksmax score derived from the 10-metric weighted average. Comparing a PrettyScale 72 to a RealSmile percentile is not apples-to-apples — the PrettyScale number is opaque and the RealSmile percentile is metric-specific. Users sometimes report that PrettyScale scores vary across sessions on the same photo, which is one of the reasons RealSmile's scoring layer is deterministic by design (same input, same output, no session-to-session drift).
Which tool is better for picking Tinder, Hinge, or Bumble photos?
Neither tool was built for dating-app photo selection at the entry tier — PrettyScale rates one face per upload and returns one number, and RealSmile's free scan also rates a single image. For multi-photo lead selection, RealSmile's $49 Premium Dating Photo Audit is the deliverable: upload up to 10 photos in a single submission, the audit scores 17 metrics on each, and you get a ranked lead-photo recommendation plus an explicit delete-list with the bottom-ranked uploads called out by photo number. PrettyScale does not offer a multi-photo audit or a delete-list at the time of this writing. If your goal is "which photo should I lead with on Hinge," a single-score calculator on either tool does not close the decision; the multi-photo audit does.
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