AI Color Analysis Guide
Review style-oriented color and lighting cues from one adult photo alongside the iLook face analysis report.
Updated August 17, 2026. iLook results describe one submitted photo and are not medical or biometric measurements.
What this free tool reads
- Lighting, contrast, and visible presentation cues in the uploaded photo.
- How shadows, white balance, filters, and background color can distort color reads.
- Style-friendly guidance without inferring ethnicity, health, or identity.
How to interpret the output
Color analysis depends heavily on lighting and camera processing. Treat it as styling inspiration, not a definitive seasonal color diagnosis.
The strongest use case is comparison against your own photos: better light, cleaner framing, less tilt, and a clearer crop. A single score should never be treated as a judgment of a person.
Best photo setup
Use one clear adult face, neutral light, a front-facing pose, and a crop that includes the forehead, eyes, cheeks, jaw, and chin. Avoid filters, heavy shadows, extreme angles, face-obscuring accessories, and multiple people in the frame.
Privacy and responsible use
iLook does not infer protected traits or health from skin tone. Use neutral daylight and avoid filters for cleaner style feedback.
Successful website and app scans stay in the submitter's private history until deletion, while API-key requests remain transient. iLook does not identify the person, infer protected traits, or create face embeddings or a landmark archive.
Try the free tool
Run the focused scanner here: AI Color Analysis. You can also use the main iLook face analyzer for the full report with all free-tool breakdowns.
Can AI color analysis work from a selfie?
It can provide style-oriented cues, but lighting, white balance, makeup, filters, and background color can strongly affect the result.
Does iLook infer ethnicity or health from color?
No. iLook prohibits protected-trait and health inference. Color analysis is framed as presentation and styling feedback only.