This document explains what FINDCORE measures and what it does not. Reliable use requires understanding both the strengths and the limitations of the system. The focus here is browser-side processing, frame correction, and rule-based interpretation.
Keywords
Make sure the photo meets the guide conditions
Check that the correction frame matches the actual skin boundary
Look for unresolved quality warnings
Compare repeated runs under matched conditions
Separate recommendation text from measured values while reading the result
The upload-based tools read the image inside the browser and use it as input for style-oriented outputs. The photo functions as analysis material rather than as long-term published content.
Result quality depends heavily on the photo condition.
The image is raw material for calculation, not the result itself.
Trust depends more on input quality and rule design than on storage assumptions.
The tool measures vertical length and horizontal width relationships around the hairline, cheek area, jaw contour, and chin tip. Auto detection creates a draft, but the corrected frame becomes the final input.
Length-to-width, upper-vs-lower width, and cheekbone dominance are core signals.
If frontal alignment breaks or the hairline is hidden, borderline labels move easily.
The manual frame is not cosmetic; it directly affects the calculation.
The system estimates how warm, cool, bright, or muted skin appears in the image. That makes it especially sensitive to lighting and automatic camera correction.
The same person can land in different seasonal directions under different light and white balance.
This tool is often more useful for repeated tonal tendencies than for one absolute diagnosis.
For borderline seasons, the common color pattern matters more than one exact label.
Hair, eyewear, contour, and palette suggestions translate measured structure into usable styling language. They do not have the same status as the raw measurements.
The same measured structure can still produce different suggestions depending on styling goal.
Recommendation text is guidance, not fixed truth.
Practical styling still depends on taste and context.
Because hair, shadow, and lens distortion can push the draft away from the real boundary. Manual correction lets the user fix the final working input.
Usually the bigger factor is lighting and camera correction. Personal color is especially sensitive to input condition shifts.
If the direction repeats under good conditions, the result is usually reliable enough for practical style use. It should still not be treated as a permanent identity verdict.