Upload a clear portrait to explore your likely color season, understand the visible cues, and build a palette you can test.
Personal color analysis compares the temperature, value, and chroma visible across your skin, eyes, and hair, then maps those relationships to a seasonal palette. The same practice is often called personal colour analysis. Upload a picture taken in neutral daylight and ask for the reasoning, not just a label. Ottermind can keep your portrait, observations, palette, and follow-up questions together while you compare a likely season with its closest alternative. This page is for analyzing an existing portrait; use AI image generation when you need to create a new visual instead.
Face a window in soft indirect daylight, use a neutral background and top, remove color filters, and keep your face and neck unobstructed. Minimal makeup and visible natural hair make the input easier to interpret; disclose dyed hair or tinted contacts. Avoid retouching before the test. If the file only needs crop or exposure cleanup, use AI Photo Editor separately and protect the original color balance.
A useful result separates three questions: does your coloring lean warm or cool, light or deep, and soft or bright? Ask the agent to cite visible relationships rather than sample one skin pixel or rely on eye color alone. The likely season, runner-up, starter colors, and cautious choices should all follow from those observations, so you can test the logic with real fabric near your face.
When two selfies produce different answers, compare them instead of choosing the more flattering label. Ottermind can keep both files and ask an agent to mark stable traits, identify lighting conflicts, and name a likely season plus a runner-up. Retake the photo when the cast is strong; when the call stays close, place two neighboring palette colors under your chin and judge them in the same neutral daylight.
A careful input and an explicit comparison request make the result easier to evaluate than a season label alone.
Take a shoulders-up photo facing indirect daylight. Use a neutral setting, skip filters and strong makeup, show your eyes and hairline, and mention permanent or dyed hair color.
Upload the image and choose a starter. Ask for temperature, value, chroma, contrast, a likely season, a runner-up, palette groups, and every visible limitation in the source.
Compare a second neutral-light photo or drape neighboring palette colors under your face. Keep the lighting and camera fixed, then note which option balances rather than dominates your coloring.
Use AI color analysis as a transparent styling workflow: keep the evidence, uncertainty, palette, and next comparison connected instead of treating one generated label as final.
Keep portraits, season notes, palette decisions, and later comparisons organized around the same project.
Ask for visible observations and a runner-up instead of accepting an unexplained seasonal label.
Challenge one disputed dimension or palette group without restarting the entire analysis conversation.
Carry approved palette notes into an AI Image Editor mockup while preserving the original brief.
Explore neighboring seasons, alternate lighting, or wardrobe contexts while keeping assumptions clearly separated.
Move from initial analysis to outfit planning or a visual brief without losing accepted decisions.
AI color analysis reviews visible relationships in a portrait and organizes them into a likely personal color direction. A useful answer discusses warm or cool temperature, light or deep value, and soft or bright chroma before suggesting a seasonal palette. It is a styling aid, not a medical assessment or objective biological classification.
Face a window in soft indirect daylight, stand against a neutral background, wear a gray or neutral top, and avoid filters, beauty mode, strong makeup, and tinted contacts. Keep your face, neck, eyes, and hairline visible. Mention dyed hair, because a large warm or cool color block can influence the visual read.
The public Ottermind experience can be tried without signing in and includes a limited number of free trial rounds. That makes it useful for an initial color analysis test, but it does not mean unlimited use or that every continued workflow, advanced option, or account-based feature is free.
Lighting temperature, automatic white balance, exposure, filters, makeup, nearby clothing, and dyed hair can change the colors recorded by a camera. Compare two clear portraits and ask which traits remain stable. If temperature or chroma keeps shifting, retake both images under the same neutral daylight before choosing a palette.
You can upload portraits across a wide range of complexions, but no single photo guarantees a reliable seasonal label. Ask the agent not to infer undertone from skin depth alone, require reasoning across temperature, value, chroma, hair, and eyes, and keep a neighboring season visible when olive or neutral coloring creates a close call.
Photo-based analysis is accessible and repeatable, but it inherits camera and lighting limits. Manual color analysis compares physical drapes under controlled conditions and lets an analyst observe changes directly. Use AI for a reasoned first pass or comparison plan; the How to Write AI Prompts That Actually Work can help you request evidence and uncertainty clearly.
Upload your photo, choose a focused analysis prompt, and review the likely season, runner-up, and next comparison with the evidence attached.
Analyze my colors
