Best free Umax alternatives (no paywall) — and what to look for instead

You uploaded a selfie. You waited for the scan to crawl to 91%. And then, right before the number, a screen slid up asking for $3.99 a week. You closed it. Now you're here, typing "umax alternative free no paywall" into a search bar, hoping someone will just tell you the honest options.

So here they are — names first, a table you can check line by line, then the one thing about these scores nobody in the category says out loud.

TL;DR

• Every big name is free to scan and paid to see. Umax, LooksMax AI, Mogged, AscendMax — the wall lands after your photo is up, from $3.99 a week.
• Five routes are genuinely free. PrettyScale (browser tool, free throughout, but you place the landmarks yourself) · a vision chatbot with the right prompt (unstable) · Photofeeler if you'll vote to earn votes · the Reddit rating subs if you can take it raw · and our own first-impression test.
• Ours, declared: no paywall on the score, but a free account — email and a code, never a card — opens it. We'd rather you read that here than meet it after upload.
• The one check that separates them all: does the price screen come before the scan, or after your face is already on their server?

Already been charged? Do this first, before reading anything else. If a weekly subscription started because you tapped through to see a number, cancelling is time-sensitive and takes about two minutes: how to cancel Umax or LooksMax AI. Come back afterwards.

Everything below was checked in September 2026, against the public App Store listings, product pages, and user reviews — we haven't paid for these subscriptions. Full disclosure: we build the free first-impression test linked at the end — read this review knowing that.

What is the best free Umax alternative?

A name, not a hedge: if "alternative" means an app that shows the result without paying, the big names don't qualify — Umax, LooksMax AI, Mogged, and AscendMax all run the same free-to-scan, pay-to-see model. What's left is genuinely free, and most of it isn't us: PrettyScale (go straight there), a browser tool that has been free the whole time and states outright that photos are "not saved or shared"; a vision chatbot with the right prompt; Photofeeler (go straight there) if you'll vote on other people's photos to earn your own; the Reddit rating subs if you can take it raw; and our first-impression test, which shows the read after upload with no lock screen on the number. We build that last one — bias declared — so here's the whole category in one table instead of our word.

If you only have two minutes, here is the whole page as one fork:

• You want a number on screen right now, with no account at all → PrettyScale. It's free, it's browser-only, and it says photos are "not saved or shared." Accept that you place the landmarks, so the number moves with your hand.
• You want actual human opinions rather than a model's → Photofeeler. You vote on strangers' photos to earn votes on yours. It costs time instead of money, and it tells you which photo works, not what you're worth.
• You want to know how your whole photo reads to a stranger in the first second → ours. It's calibrated on men, the score and the read are free with no card, and a free account (email and a code) opens them.

We build the third one, so weigh it accordingly — and note that two of the three fingers are pointing away from us. If your question is "which photo should I use," Photofeeler beats us at it and we'd rather say so than take the click.

Quick profiles, described rather than ranked:

Umax. The category leader. Blake Anderson's app reportedly crossed 7 million downloads and scores your face on a 0–100 scale across attributes like jawline, cheekbones, and "masculinity." It starts at $3.99 a week — the official App Store listing shows weekly tiers up to $9.99 — and the paywall appears after the analysis has run: you see the lock, not the score. The full free-versus-paid breakdown, including how to cancel, lives in is Umax free.

LooksMax AI. The other big one, viral through an "invite friends to see your result" mechanic. It maps facial landmarks — canthal tilt, gonial angle, "facial harmony" — and outputs a score plus a list of fixes, behind the same weekly-subscription shape.

Mogged, AscendMax, and the long tail. A rotating cast of near-identical apps: same upload, same 0–100 PSL-style number, same scan animation, same paid tier. If you're weighing two of them specifically, Mogged vs Umax puts them side by side. One name in this long tail needs checking before you install it, because it covers several different products — see the JawMax app review.

PrettyScale. The one that makes this list not just a pitch for ourselves. It's a browser tool, not an app: you upload a photo or use your webcam, then place the lines and dots on your own features, and it computes face shape, eye-to-lip distances, mouth size and symmetry into a 1–100 score. It has been free the entire time — no teaser number, no lock screen — and its pages state that photos are "not saved or shared." It also measures beauty in "Helens," as in Helen of Troy, which is a tool quietly telling you how seriously to take it. The real weakness isn't the price, it's the method: because you place the landmarks yourself, the number moves with your cursor, so it runs unstable and skews harsh. Whether that makes it useful is unpacked in is PrettyScale accurate.

Are there apps like Umax but free?

In four shapes, and two of them cost you something anyway:

• Free at the door. You get the read for handing over a photo — no card, no lock screen on the number. Rare. PrettyScale is the third-party example; it's the standard we built ours to.
• Free if you pay in time. Photofeeler makes you vote on strangers' photos to earn votes on your own; the Reddit rating subs cost nothing but expose you to unfiltered comments. Both are real humans, which no AI scanner can say.
• Free-to-scan, paid-to-see. Umax, LooksMax AI, Mogged and most of the long tail. The scan animation is the sales page.
• Free-with-a-catch. "Invite three friends to unlock" — paying in contacts instead of dollars.

The practical filter is one question, not a feature list: what do I get for uploading my face, and is it the thing I came for? If the answer is a blurred number and a price sheet, it isn't free, however it's labeled.

How to actually start on each of the free ones

We've told you what's wrong with each of these, which isn't much use on its own. Here is how to begin, in the next ten minutes, on the three that aren't ours:

• PrettyScale — open it in a browser, upload a front-facing photo or use the webcam, then drag the guide points onto your own features. Two or three minutes, and the score appears immediately. Do it twice with the same photo before you believe the number: the gap between your two attempts is the honest error bar on the whole method.
• Photofeeler — sign up, then vote on other people's photos to earn votes on yours. Expect to spend the first session voting rather than getting results; the queue fills over hours, not seconds. Its real strength is that it tests which of your photos works, so upload three or four candidates rather than one — that comparison is the thing no scanner can give you.
• The Reddit rating subs — read the rules of the specific sub before posting, since each one has its own format and several require a title tag or a specific photo set. Feedback arrives from real people over hours, and it is unmoderated in tone. Our guide to the rating subs covers which sub suits which question, and the honest warning: if a harsh comment would sink your week, this is not your route.

The free route that isn't ours: a chatbot, prompted right

Pasting a selfie into ChatGPT is genuinely free and genuinely third-party, so it deserves a fair shot. Asked to "rate my face," it will usually refuse — or hand you a confidently random number with no method behind it. Asked for a read instead of a rating, it's occasionally useful. Copy this:

Look at this photo the way a stranger would for one second.
1) First impression, in one sentence.
2) Three things helping the read (lighting, angle, grooming, expression).
3) Three things hurting it — with a concrete fix for each.
No number scores — one photo can't support one.

Know the catch: the answer drifts — same photo, new chat, different verdict — because there's no fixed method underneath, and nobody has checked its output against how real people rate the same faces. That's the same unsolved problem the paid apps have. Treat it as a free second opinion on your photo, not a measurement of your face.

The honest part: why the number keeps changing

Here's the complaint that runs through review sections for every app in this category, in users' own words: "submitted the same picture 3 times and almost every time a different number." Others call results "completely inaccurate" or say the score doesn't match the marketing.

That's not a bug you can patch — it's what measuring one still photo means. These apps read the geometry of the pixels you gave them — canthal tilt, jaw width, gonial angle — and those ratios are hostage to everything that isn't your face: the lens, the phone height, where the light came from, whether you were mid-blink. Tilt your chin two degrees and the jaw geometry the model reads genuinely changes. Same face, different photo, different number. The app isn't lying on the second upload — it's measuring a different image. Switch apps and the number drifts again, because each tool uses its own training data, scale and calibration — what free face analysis tools actually measure sorts them into four kinds, each good for a narrower question.

The deeper problem is one almost every article in this category gets wrong. It is usually written as "nobody has ever checked whether these scores match real people." Somebody has — once — and the result is more interesting than the slogan.

A team at UC Irvine put 40 faces in front of five free AI rating sites and a focus group of 24 otolaryngology residents. The scores genuinely tracked each other: Pearson's r = 0.84. But the machines rated systematically higher than the humans — an average of 6.9 against 5.0, with 30 of the 40 images scored significantly higher by the websites than by people (Goshtasbi, Hakimi & Wong, 2024, Facial Plastic Surgery & Aesthetic Medicine).

Three things about that, in order of how much they should change your mind:

• These tools are not reading noise. An r of 0.84 is a real correlation. If you were told AI face scores are pure randomness, that was overstated.
• They flatter you, not the reverse. The one measured direction of bias runs generous. If a scanner handed you a number that stung, the evidence says the number was more likely too kind than too cruel — which is the opposite of what the doom threads assume.
• It does not transfer to you. The 40 faces were AI-generated, white, female, expressionless and frontal. The raters were surgical residents. Umax, LooksMax AI and Mogged were not among the five sites tested — PrettyScale was one of them. And what the study compared was two groups' opinions of the same photograph, which is not the same question as how a stranger reads you across a room.

So the precise version, which is narrower and more useful than the slogan: something real is being measured, it is graded generously, and no one has ever checked any of it against how people actually react to you in person. The models are trained to reproduce a private "harmony" or PSL template, so even a perfectly consistent score answers how closely your bone geometry matches a reference — not how anyone responds to you. Geometry isn't nothing. But one frozen frame, unchecked against real reactions, is a thin slice of the actual thing.

The face-rating app pricing index compares fifteen US App Store listings and makes the download-versus-subscription distinction visible.

What actually gets read in the first second

The research that holds up points away from single-photo geometry. People form a stable impression of a face in about 100 milliseconds (Willis & Todorov, 2006) — off a moving, expressive face in context, not a ruler laid across a still. And when Langlois et al. (2000) pooled eleven meta-analyses, raters agreed on who's attractive far more than "it's all subjective" allows — but the agreement lives in whole faces and expression, not in one magic ratio. That's why perception behaves like a threshold, not a ladder: once you register as well-presented and open, the levers that move you are grooming, expression, posture, eye contact — things a frontal selfie's ratios throw away. Looks matter; they matter as a perceived signal in context, not as a ratio from one image. The long versions live in why a 7/10 PSL face can feel like a 5 on a real date and what women actually find attractive.

And said once, plainly: psychologists quoted by Fortune have warned that apps handing teenage boys a low number for their face are feeding a real mental-health problem. A geometry score from one selfie is one photo, one lighting setup, one narrow template — not a verdict on you. And if face anxiety is running your day rather than nagging at it, no tool — ours included — is the fix; that's worth talking to a real person about.

What a face tool would have to do to be worth it

The checklist for whatever you try next — Umax, LooksMax AI, or anything else:

• No paywall on the score. Note the wording — not "no paywall anywhere." Almost everything here sells something, ours included. The question is whether the thing you uploaded your face for is behind the lock. You should see the result for giving up your photo. Anything that takes the image and then asks for $3.99 before showing the number has the incentive backwards.
• Checked against people, not a template. Ask what the score was validated against. If the answer is a proprietary PSL or "harmony" model, it's measuring template-match, not attraction.
• Perception, not just geometry. Useful output is "here's how you're likely read in the first second, and the levers that move it" — not "your canthal tilt is positive."
• A read and a direction, not a verdict. A good tool does not tell a 16-year-old his face is a 4 and leave him there.
• A straight answer on photos. It should say what happens to your image after you upload it. (Curious about raw proportions only? The free canthal-tilt test runs entirely in your browser — your photo never leaves your device.)

How ours scores on that checklist

It would be cheap to write a checklist and then not stand on it, so here is our own tool measured against all five lines — including the one we fail.

The obvious objection: our account gate also arrives after upload. True, and here is the difference we'd defend. Theirs withholds the number until you pay; ours withholds nothing you'd pay for — the score and the full read sit behind an email and a code, never a card. The account also makes deletion possible: delete it and the reports and photos go with it, which anonymous results can't offer. The fix that would end the objection — asking for the email before the upload — is a product change we haven't shipped, so for now this paragraph is the honest version.

And yes, we have an invite bonus too: invite a friend and you both get 200 credits. The line we'd defend is that their invites buy the score, while ours only buy extra deep-reads. If that distinction feels thin to you, that's a fair read.

On the 70–155 scale, since it deserves a sentence rather than three mentions: it's a perception axis, not a mark out of 155. Our calibration puts the typical man around 110, most people land in a band either side of that, and the ends are deliberately rare. It's shaped that way because first impressions aren't a ladder with evenly spaced rungs — they're a threshold you're either over or under for a given room, which is the whole argument against scoring faces out of 100 in the first place.

If you've already run a Umax score, how that number compares to real life and the first-impression window are the natural next reads.

Take the free test — about a minute: four quick picks first (height, weight, body type, years training), then your photos, then the read. No lock screen on your score; a free account opens it.

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Studies referenced: 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. Langlois, J. H., Kalakanis, L., Rubenstein, A. J., Larson, A., Hallam, M., & Smoot, M. (2000). Maxims or myths of beauty? A meta-analytic and theoretical review. Psychological Bulletin, 126(3), 390-423.