AI Skin Treatment Tracker

How it works

1. 1

   Upload your skin photo

   Drop a close-up photo of the skin area you're tracking into EditThisPic. Good focus and similar distance each time help. JPG, PNG, WebP up to 7MB.

   Expect: Standard normalization: 20-30 seconds. Color correction for skin tones: may need 1-2 refinements.
2. 2

   Describe the adjustment

   Type your instruction: 'normalize the lighting to bright even clinical lighting to show skin texture' or 'adjust white balance to neutral daylight.' Be specific about preserving skin detail. No marking needed.

   Tip: 'Show skin texture clearly' tells the AI to preserve the actual skin detail rather than smoothing it — critical for tracking treatment progress.

   Copy one of these to get started:

   Clinical lighting normalization normalize the lighting to bright even clinical lighting, preserve all skin texture and blemishes exactly as they are

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   Daylight white balance adjust the white balance to neutral daylight, keep skin detail and all imperfections visible

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   Remove color cast from bathroom remove the warm yellow color cast from bathroom lighting, show true skin colors under neutral light

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   Close-up texture preservation normalize this close-up skin photo to even lighting while keeping every pore, texture, and mark visible at full detail

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   3 more prompts

   Match reference photo lighting adjust this photo's lighting and color temperature to match bright clinical exam room conditions

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   Reduce flash hotspot reduce the harsh flash hotspot on the skin while keeping all skin texture and blemishes intact

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   Standardize for timeline normalize this skin photo to the same standard as my previous photos: bright, even, neutral white balance, no color cast

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3. 3

   Review for accuracy

   Verify that skin texture, blemishes, and coloring are accurately preserved. The lighting should be normalized but the actual skin condition should look unchanged.