Looksmaxxing Apps Compared (2026): 25 Apps, Real Prices, Where the Paywall Hits

There is no best looksmaxxing app, because they all sell the same thing: a score of one photo's geometry, usually locked behind a weekly subscription that appears after the scan. What differs is price, what you see before paying, and who built it. This page puts 25 of them side by side with today's App Store prices, so you can pick by the question you actually have.

You have five tabs open and a scan that stopped at 91%. Below: the master table, the one pricing trap every app shares, the name collisions that get people to install the wrong app, and a 60-second check for any app that launches next week.

Disclosure: we build a first-impression test (its full report is $5, one-time) and it appears in the table, marked as ours. Store prices, ratings and update dates were checked on the US App Store on 17 October 2026; web tools and Qoves are from our individual reviews, linked in each row.

Analysis first · $5 for the full report · about a minute

Twenty-five apps, one question under all of them: what does your face put across? Start here.

• Your read on the 70–155 first-impression axis, the six-part face read (jawline, cheekbones, eyes, chin, skin, harmony), your ceiling, how many women notice you, and a dated plan
• The analysis runs before you pay. The full report is $5 one-time — no subscription, nothing renews
• A few quick picks (height, weight, build, how you carry yourself) and one more photo next — the read lands about 40 seconds after you submit
• Photos are encrypted, never public, never used to train models, deletable any time

Or start with the questionsSee a full sample result

Which looksmaxxing app should you use?

Pick by your question, not by the score you hope to get. Each tool answers one narrow question well and everything else badly.

Caveat: "best fit" is not "accurate". None of the scanner apps below has published validation data, and neither have we.

How do the 25 apps compare on price and paywall?

Sixteen of the 19 App Store apps below list a weekly plan (of the other three, ModelMax never says how long its plans last, MogMax sells one-off unlocks and a yearly plan, and Appeal lists no prices at all), and in our reviews most of them show the full result only after you pay or invite friends. The table lists every plan each listing shows, the rating, and when the app last shipped an update.

Store listings show every price point an app has ever offered in your region, including discounts and regional variants, so a range means "somewhere in here", not a menu you can pick from.

What is the weekly tax, and how do you avoid it?

The weekly plan is the default in this category and the most expensive way to buy the same app: $4.99 a week is about $259 a year, while the same listings often show a yearly plan for $19.99 to $39.99. We call it the weekly tax.

The mechanism is simple. A weekly plan is sold at the moment of highest curiosity, right after the scan animation, and it renews quietly. In our analysis of App Store complaints across 25 face-rating apps, money, not accuracy, drove most one- and two-star reviews.

How to avoid it:

1. Scroll the listing to "In-App Purchases" before installing. If a yearly plan exists, the weekly one is never the better deal.
2. Treat "3-day free trial" as a dated charge. Put the cancel date in your calendar the moment you start it.
3. Cancel through the store, not by deleting the app. iPhone: Settings, your name, Subscriptions. Android: Play Store, Payments and subscriptions. Refund requests on Apple go through reportaproblem.apple.com. Step by step: how to cancel Umax or LooksMax AI.

Caveat: some people genuinely use these apps for months as a routine tracker, and for them a yearly plan can be reasonable. The tax lands on the much larger group who wanted one number, once.

What do these apps actually measure?

Almost all of them score the geometry of one still photo against a template the developer chose, and none has published evidence that the number matches how people react to you. The score is consistent about the photo, not about you.

Two published findings frame what that number can and cannot tell you:

• Photos of the same person vary more than different people do. In a Glasgow study, different photos of one face varied more in rated attractiveness than photos of different faces (Jenkins et al., 2011). Lens distance, light and angle move the geometry an app reads, which is why "same photo, different number" is the category's most common complaint.
• AI scorers track human ratings but run high. In the only published head-to-head, five free AI rating sites correlated with 24 human raters (r = 0.84) but scored 40 faces higher on average, 6.9 against 5.0 (Goshtasbi, Hakimi & Wong, 2024). The faces were AI-generated, and none of the big App Store apps was tested.

What a single frame cannot hold is most of what a stranger reads: expression, grooming, posture, fit. People form a stable impression of a face in about 100 milliseconds (Willis & Todorov, 2006), and they read it as a whole, not ratio by ratio (Abbas & Duchaine, 2008). That is why perception behaves like a threshold, not a ladder, the argument behind why a 7/10 PSL face can feel like a 5 on a real date.

Caveat: geometry is not nothing. People broadly agree about which faces are attractive; in 11 meta-analyses, Langlois and colleagues found that agreement within and across cultures (Langlois et al., 2000). The problem is coverage: one frame, one template, no check against real reactions.

Which app names get confused, and how do you install the right one?

Several looksmaxxing names are shared by unrelated apps, so check the seller line before you pay. The common collisions:

• Umax, U Max and YouMax are three different products from different sellers (U Max review, YouMax review).
• Mogged is used by three listings from three developers (Mogged review); JawMax by three as well (JawMax review).
• PSL (IQ Labs) and PSL AI are separate apps. PSL AI shows a different seller name on the App Store and on Google Play, but both listings share one bundle ID and one privacy policy: it is one app (PSL AI review).
• Appeal: Looksmaxx & Ascend has no connection to Real World Appeal, the site you are reading.

How do you check any new looksmaxxing app in 60 seconds?

Five checks on the store page catch most bad deals before you upload a face.

1. Seller line. Is it the developer you meant? Clones borrow names.
2. In-App Purchases. Find the yearly price; note whether a one-time scan exists.
3. Last update date. An app untouched for two years still bills weekly.
4. Newest one-star reviews. Sort by most recent and read for "charged", "paywall", "after I uploaded".
5. Privacy label. "Data Linked to You: Photos or Videos" means your face is tied to your account; read the policy before uploading. Our privacy audit shows what to look for.

Where does our test fit, honestly?

It answers a different question from the scanners: how a stranger reads your whole photo in the first second, not how your bone geometry matches a template. It is not free, and we would rather say so here than after you upload.

You answer about a minute of quick picks, add a face photo and a full-length photo, and about 40 seconds later you see the band your read landed in, your appeal personality and one strength, before paying anything. The full report, your exact read and natural ceiling on a 70–155 axis, face, physique and outfit read part by part, how many of 100 women passing you would notice you, and a dated 7/30/90-day plan, is $5 once. No weekly plan unless you choose $10 a month for three reports.

Caveat: like every tool in the table, our read has no published validation against real-world reactions. Treat it as one outside data point, not a verdict.

One sentence of care, meant sincerely: if you have run five apps hoping one will finally say a number you can live with, the problem is no longer the apps. Appearance anxiety makes every score feel unfinished, and stepping away is a legitimate move. More on that in do face-rating apps cause insecurity?

Key numbers

• $259 a year: what a $4.99 weekly plan costs if it renews, against $19.99–$39.99 for most yearly plans in the same listings (App Store, 17 Oct 2026).
• 51,646 and 42,725 ratings: Umax and LooksMax AI, the two biggest apps, neither updated since 2024.
• r = 0.84, 6.9 vs 5.0: free AI raters track humans but score higher (Goshtasbi et al., 2024).
• ~100 ms: how fast people form a stable impression of a face (Willis & Todorov, 2006).

The bottom line

The looksmaxxing app market is one product in 25 wrappers: a score of one photo, sold weekly, after the scan. Pick by your question, check the yearly price before the weekly one, and cancel through the store. Your face doesn't have a score that decides your life. It has an effect on people, formed fast and far more movable than any app's number admits. If that effect is your real question, see how your photos read: the analysis first, $5 for the full report.

Sources

• US App Store listings for every app in the table, checked 17 October 2026 (prices, ratings, version dates via the iTunes lookup API and listing pages).
• Jenkins, R., White, D., Van Montfort, X., & Burton, A. M. (2011). Variability in photos of the same face. Cognition, 121(3), 313–323. https://doi.org/10.1016/j.cognition.2011.08.001
• Goshtasbi, K., Hakimi, A. A., & Wong, B. J. F. (2024). Artificial intelligence versus human focus group rating of facial attractiveness. Facial Plastic Surgery & Aesthetic Medicine, 26(4), 371–376. https://doi.org/10.1089/fpsam.2023.0281
• Willis, J., & Todorov, A. (2006). First impressions: Making up your mind after a 100-ms exposure to a face. Psychological Science, 17(7), 592–598. https://doi.org/10.1111/j.1467-9280.2006.01750.x
• Abbas, Z. A., & Duchaine, B. (2008). The role of holistic processing in judgments of facial attractiveness. Perception, 37(8), 1187–1196. https://doi.org/10.1068/p5984
• Langlois, J. H., et al. (2000). Maxims or myths of beauty? A meta-analytic and theoretical review. Psychological Bulletin, 126(3), 390–423. https://doi.org/10.1037/0033-2909.126.3.390