FaceRate Review: What Its Face Rating Measures, and What It Leaves Out

FaceRate is a face rating tool: you upload a photo and it returns a score out of 10 for individual features such as eyes, nose, mouth, and face shape, plus an overall rating. Third-party directory listings describe its scoring as based on symmetry and the golden ratio, and list it as free to use. It is quick and costs nothing, which is its real strength. What it does not show is the method behind each number, and its main reference point, the golden ratio, is not well supported by the research on how faces are actually judged. Facet, which we build and which competes with FaceRate, takes the opposite approach: measurements instead of a rating.

Definition

What FaceRate gives you

• A score out of 10 for each of several features, and an overall score.
• A golden-ratio or symmetry-based assessment, according to directory listings of the tool.
• A face shape classification.
• No per-threshold citation: the score does not link to the study that defines what counts as a 7 or a 9.

This summary comes from third-party listings and our own comparison page, not from documentation published by FaceRate, and features can change. If you are deciding between tools, try it yourself and check what the output actually contains.

The golden ratio problem

A score is only as good as the standard it is measured against. The golden ratio (about 1.618) is the most common standard in face rating tools, and it has been tested directly. Holland's 2008 paper in Aesthetic Plastic Surgery examined the best-known golden-ratio face template, the Marquardt mask, and found it did not describe attractive faces well across sexes and ethnicities. Kiekens and colleagues' 2008 study in the American Journal of Orthodontics and Dentofacial Orthopedics compared rated facial attractiveness in adolescents against "ideal" ratios, including golden proportions, and found those ratios explained little of how attractive faces were judged. The longer version is in the golden ratio and your face.

So a feature can score low on a golden-ratio rating and still sit well within the normal, attractive range for real people. The number looks precise, but the reference behind it is a classical ideal rather than population data.

What the research does support

The evidence points to a small number of measurable factors rather than one hidden ratio. Little, Jones, and DeBruine's 2011 review in Philosophical Transactions of the Royal Society B identifies averageness, symmetry, and sexually dimorphic features as the consistent predictors of facial attractiveness. Langlois and Roggman's 1990 study in Psychological Science showed the averageness effect directly: composite faces built by averaging many faces were rated more attractive than most of the individual faces that went into them.

Reference ranges also need to come from measured people. Farkas, Hreczko, Kolar, and Munro's 1985 study in Plastic and Reconstructive Surgery measured 153 young adults and found the lower facial third usually ran longer than the middle third, even though the classical rule says the thirds should be equal. A tool that scores you against the rule rather than the data will mark a perfectly typical face as off.

Rating vs. measurement, side by side

• A rating says "nose: 6/10." A measurement says what your nasal proportions are and where that value sits in a published range.
• A rating combines several factors into one number. A measurement keeps symmetry, proportion, and shape separate, so you can see which one is actually driving the result.
• A rating has no source you can check. A measurement names the study behind each range.
• A rating can change if the model behind it changes. A deterministic measurement gives the same result for the same photo every time.

More on what single-number raters collapse together is in what face rating apps do not measure.

When FaceRate is the right choice

If you want a free, fast, casual read on your features and do not need the reasoning, FaceRate does that. Facet costs $39 once and is built for a different job: about 60 seconds to a 10-module report where every threshold carries a peer-reviewed citation, the same photo always produces the same result, and each module includes natural and clinical next steps. The full comparison is at Facet vs FaceRate, and if you are also weighing a paid service, see Facet vs QOVES.

Next step

Run your FaceRate score, then open the free example report at /sample-report and compare the two side by side: count how many separate measurements each one shows and how many of them name a source. The approach behind Facet's scoring is outlined on the homepage.