Face Shape AI Get instant, accurate face shape analysis and personalized style recommendations.

What is Face Shape AI?

Face Shape AI offers an advanced solution for identifying your unique face shape through artificial intelligence. By analyzing an uploaded photograph, the tool accurately determines whether your face shape corresponds to common types such as Oval, Round, Square, Heart, or Diamond.

The process is straightforward: users upload a clear, front-facing photo, and the AI model, trained on a diverse dataset of over 10,000 faces, performs the analysis by scanning more than 468 facial landmarks. Upon completion, the tool presents the identified face shape along with tailored suggestions for hairstyles, glasses, and makeup that complement the user's specific features. The service emphasizes user privacy, stating that photos are deleted immediately after analysis, and relies on anthropometric research for its methodology.

Features

Face Shape Detection: Identify your face shape (Oval, Round, Square, Heart, Diamond).
AI-Powered Accuracy: Trained on 10k+ faces with 95% accuracy.
Personalized Tips: Get hairstyle, glasses, and makeup recommendations for your shape.
Privacy First: Photos deleted immediately after analysis.
Science-Backed: Based on anthropometric research.
Global Data Training: Trained on diverse ethnicities and ages.

Use Cases

Finding flattering hairstyles based on face shape.
Selecting suitable glasses frames.
Receiving tailored makeup application tips.
Understanding facial geometry for style choices.
Obtaining personalized beauty recommendations.

FAQs

Is my photo kept after analysis?

No, photos are deleted immediately after analysis to ensure user privacy.
How accurate is the face shape detection?

The AI model is trained on over 10,000 faces and achieves 95% accuracy in identifying face shapes.
What methodology does the AI use for analysis?

The analysis is based on anthropometric research, and the AI scans over 468 facial landmarks.
Is the AI trained on diverse data?

Yes, the AI model was trained using global data encompassing diverse ethnicities and ages.