Danielle uploaded six photographs of her face to Qoves and paid to find out how to improve it. The report assessed the shape of her ears, the symmetry of her nose, the projection of her chin, and the femininity of her features. Then came the list: rhinoplasty, lower blepharoplasty, canthoplasty, chin implant, cheekbone reshaping, temple and cheek fillers, Botox on the jaw and around the mouth, microblading, and lash treatment.
Qoves promises to measure more than 160 facial characteristics and deliver a personalised plan for achieving the «best» version of one's appearance. The basic analysis costs $150 a year; surgical recommendations require an add-on. Cheaper services, like Facemaxify and Epica, automate the process further: a photograph is compared against opaque criteria of facial harmony and converted into scores, routines, and advice.
Not all of them necessarily recommend surgery. Some suggest haircuts, skincare, makeup, sleep, or exercise. But the mechanism stays the same: the face is broken down into measurable components, compared against a norm, and handed back to its owner as an unfinished project. First comes the score, then the protocol to fix it.
It is a commercial version of looksmaxxing, the culture that grew online around the idea that appearance can be systematically optimised. The novelty isn't wanting to look better, nor using proportions and simulations in cosmetic surgery. Doctors have been doing that for decades. The novelty is receiving at home, without an appointment and before ever speaking to a specialist, an apparently scientific inventory of everything about one's face that could be changed.
The precision of the report creates an impression of objectivity: if a piece of software measures the distance between the eyes or the angle of the jaw, the verdict seems less like an opinion and more like a diagnosis. But beauty has no single correct value, and a photograph cannot assess skin, cartilage, and tissue, nor how a face would actually heal after a procedure.
There is also a conflict built into the business model. The platforms earn money from subscriptions, report updates, and, in some cases, affiliate links to recommended products. The system doesn't merely identify an insecurity: it can, in the same moment, turn it into a sequence of purchases.
Social media filters changed your face for a few seconds. These services go a step further. They don't just show you a different face: they tell you how much it might cost to become it.
