Realsmile AI
AI face analysis and photo ranking tool for dating and professional profiles.
Score
60
Évaluation Utilisateur
3.0
Support Gratuit/Essai
Non Pris en Charge
Prix de Démarrage
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Dernière Mise à Jour
août 14, 2026
Aperçu
Qu'est-ce que Realsmile AI ?
RealSmile is an AI-powered face analysis and looksmaxxing test platform that runs facial-landmark detection in the browser using TensorFlow.js. It scores photos on 17 distinct facial-geometry metrics—such as symmetry, canthal tilt, and facial width-to-height ratio (FWHR)—based on peer-reviewed anthropometric and psychological research. The app provides user-calibrated attractiveness percentiles, customized 30-day glow-up roadmaps, and specialized audits tailored for dating profiles (Tinder, Hinge, Bumble) or professional platforms like LinkedIn.
À quoi sert Realsmile AI ?
Tags
Fonctionnalités Principales
- 17-metric facial geometry scoring system running on-device via TensorFlow.js
- Dating photo audit and ranking system for up to 10 photos simultaneously
- Professional LinkedIn audit tuned for trust, competence, and warmth signals
- AI-driven before/after glow-up and hairstyle preview engine
- Personalized, metric-targeted 30-day action roadmaps for appearance optimization
- 100% private, client-side processing where images are never stored or uploaded
Comment utiliser Realsmile AI ?
To use RealSmile, choose one of the free instruments on the website like the Face Score or Looksmaxxing Test. Grant browser permission for the tool to analyze your photo locally via TensorFlow.js. The AI will compute your facial metrics on-device within 30 seconds without uploading your pixel data to any server, delivering an instant overall score and a baseline breakdown.
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Cas d'Utilisation
- Optimizing dating app profile orders by identifying the highest-scoring lead photo
- Auditing professional LinkedIn headshots to maximize first-impression hire signals
- Creating a data-driven 30-day personal grooming, skincare, and styling routine based on weak facial metrics
- Comparing facial metrics and symmetry against a database of celebrity scores
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