Soft front light gives the report clearer information. Shadows, backlighting, or low light can hide features and weaken the score.

A camera held too high, too low, or too close can distort the face. Eye-level framing gives the AI face rating a clearer view.

A relaxed expression helps the test read visible balance. A forced smile, squinting, or unusual pose can change facial cues.

Blur, compression, and poor resolution reduce detail. A sharper photo gives the report better face rating information.

Hair, hands, masks, filters, side profiles, and cropped faces make results less useful. A visible full face works best.

Hair, glasses, makeup, clothing color, and background contrast affect portrait impressions. The score reflects the uploaded image, not a permanent rating.