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FreePSL

1.0.0

371

0

Beauty Scores
Instantly receive an AI-driven assessment of facial attractiveness.
Input:
Output:
FreePSL screenshot
Updated: May 14, 2026 Free + from $9.99

Description

Free PSL Score Test is an AI-powered tool designed to evaluate facial attractiveness. It provides a PSL (Perceived Sexual Market Value) rating across four categories: Harmony (facial feature integration), Dimorphism (masculine or feminine characteristics), Angularity (jawline, cheekbone, and chin definition), and Miscellaneous (skin quality, eyebrow shape, nose, and teeth).

This tool is frequently used by individuals engaged in looksmaxxing, a practice focused on improving physical appearance through lifestyle, grooming, and potential cosmetic procedures.

Users submit a clear facial photograph for analysis, considering elements like facial geometry, feature proportions, skin texture, and sexual dimorphism.

The AI calculates scores for each category and an overall score without requiring any registration. The PSL score categorizes individuals into different tiers, from 'Subhuman' to 'True Adam / Eve', based on these assessments.

It serves individuals interested in self-evaluation, as well as various communities focused on enhancing appearance on platforms such as TikTok, Reddit, and Discord.

The tool aims to provide a swift and complimentary evaluation of facial attractiveness, offering practical insights for those in appearance-focused communities seeking to monitor their development and establish objectives.

Key Features

Evaluates 4 primary aspects of facial appearance

Focuses on Harmony, Angularity, Dimorphism, and Miscellaneous characteristics

Provides in-depth analysis of facial features

Assesses perceived masculinity/femininity

Rates skin quality

Pricing Plans

Model
freemium
Packages
1 Package
Price Start From
$9.99
Payment Model
one-time

Releases

Initial release of FreePSL.

Reviews

Pros & Cons

Pros

Evaluates 4 core aspects

Detailed facial feature analysis

Assesses skin quality

Cons

Lack of data transparency

Potential score bias in certain categories

Potentially detrimental tier labels

Q&A

New Released

New Released