AI Color Cast Fixer

How it works

1. 1

   Upload the photo with the color cast

   Drop your image into EditThisPic. JPG, PNG, or WebP up to 7MB. Photos taken under tungsten bulbs, fluorescent office lights, mixed indoor/outdoor light, or old scans with dye fading all work well. The AI reads the actual pixel data — not just your description — so even subtle casts are detected.

   Expect: Simple, uniform casts (all-orange tungsten, all-green fluorescent) are corrected in one pass in about 20 seconds. Complex mixed-lighting casts — where part of the image is tungsten and part is daylight — may need a second pass with a more specific prompt.
2. 2

   Describe the tint you want removed

   Type what's wrong: 'fix the orange color cast — skin tones and white shirt look orange, make them neutral' or 'remove the green tint from the fluorescent lights, faces should look natural.' Name the cast color and one or two reference areas that should be neutral (white shirt, skin, grey wall). The more specific you are about the reference neutral, the more accurate the correction.

   Tip: Naming a neutral reference — 'the white wall should be pure white' or 'the grey concrete should be neutral grey' — gives the AI a calibration anchor. Without a neutral reference it corrects globally, which works for most shots but can over-correct if the photo has intentional warm tones you want to keep.

   Copy one of these to get started:

   Orange tungsten indoor cast — most common fix the orange color cast from tungsten lighting — skin tones and the white walls should look neutral, not orange or warm

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   Green fluorescent office cast remove the green color cast from fluorescent office lighting — faces should look natural, white shirt should be white not greenish

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   Blue shade/overcast cast fix the blue-grey color cast from overcast shade — warm up the overall tone slightly, skin should look warm not blue-grey

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   Mixed lighting — part tungsten, part window light fix the mixed color cast — the left side under the lamp is too orange and the window side is blue-grey, balance both areas so the overall scene looks natural

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   3 more prompts

   Old scanned photo with dye fade cast remove the yellow-orange color cast from this old scanned photograph — the whites should be neutral white and skin tones should look natural, not sepia

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   Sunset portrait with heavy orange cast on skin fix the heavy orange color cast on the person's skin from the sunset lighting — skin tones should look natural, keep a slight warm glow in the background sky

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   Yellow street light cast on night photo remove the yellow-sodium color cast from the street lighting — the clothing and concrete should look neutral grey, correct the overall white balance

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3. 3

   Check skin tones, whites, and shadow areas

   Zoom to 100% and examine three areas: skin tones (should be pinkish-neutral, not orange, grey, or green), any white or near-white surfaces (clothing, walls, teeth), and deep shadow areas (shadows have the least luminance data and can retain cast residue). If one zone looks corrected but another still has a tint, note which area is off for the next step.

4. 4

   Refine specific zones with markers if needed

   If the overall cast is fixed but one area — like a shadowed corner or a face under a lamp — still has a tint, tap a marker on that zone and add a focused prompt: 'fix the remaining orange tint on the face, the rest of the image looks correct.' Markers constrain the correction to that area only without disturbing the rest.

   Tip: Markers are for residual zone corrections, not initial cast removal. Try the global prompt first — markers are rarely needed.