Compare two face photos with AI

How AI face comparison works

Face comparison does not simply check whether two images have the same colors, hairstyle or background. A face-recognition model first detects the face and creates a numerical representation called a face embedding. That embedding describes patterns in the face in a way that can be compared mathematically with another photo.

LooksCompare compares the embeddings from both uploaded photos using cosine similarity. A stronger similarity score means the numerical face representations are closer. The system also checks the detected face quality and reports whether the decision is based on sufficiently clear image data.

Can the tool compare young and older photos?

Yes. A person can look noticeably different after several years because of age, hairstyle, weight, facial hair, glasses or photo quality. A recognition model can still find similarities in facial structure that remain more stable than surface appearance. This is why an old school photo and a recent portrait can sometimes still produce a strong same-person signal.

However, age is not the only challenge. A blurry scan, a face turned far to the side, heavy filters, very dark lighting or a partially covered face can all make the embedding less reliable. For a fair test, use the clearest version of each photo you have.

What affects a face similarity score?

• Pose: frontal faces generally provide more consistent comparisons than extreme angles.
• Lighting: even lighting helps preserve visible facial detail.
• Sharpness: blur can remove small facial features used by the model.
• Occlusion: sunglasses, masks, hands and hair covering the face may reduce useful information.
• Filters and editing: strong beauty filters can alter facial proportions and texture.
• Resolution: very small faces give the model fewer details to analyze.

Similarity is not identity proof

A high AI similarity result should not be treated as proof that two images show the same person. Likewise, a low score does not automatically prove that they are different people. Face comparison is probabilistic and depends on the photos being analyzed. The result is best understood as an informative visual-comparison signal rather than a legal or forensic conclusion.