There's a viral genre of post right now: someone runs a treasured old family photo through a free AI, gets back a gorgeous color version — and a relative quietly notices it's not quite the same person. The eyes are different. The nose changed. Grandma is now a stranger who resembles Grandma. Here's why that happens, and how to avoid it.
Two completely different kinds of 'colorize'
Generative models (like the free colorizers built on Gemini / Nano Banana) work by redrawing the image to match a prompt. Color is a side effect of regenerating the picture — which means the model is free to invent detail that wasn't there, including facial features. The results look stunning and are often subtly wrong.
True colorization models (like DDColor) do the opposite: they keep every original pixel and only predict the color that belongs on top of it. The face, the texture, the grain — untouched. The person stays exactly who they were.
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How to tell which you're using
- If the tool is a chat assistant or a 'reimagine / restore' button, it's almost certainly generative — expect invented detail.
- If it's a dedicated 'colorize' tool that promises to preserve the original, it's likely a true colorizer.
- Quick test: colorize, then compare the face side-by-side with the original at full zoom. Generative outputs drift; true colorizers line up exactly.
The faithful option
Stork's AI Photo Colorizer runs DDColor specifically because it's non-generative — natural, realistic color on the real photo, full resolution, $3.99 once, no subscription. Your ancestor still looks like your ancestor.
Try it on a photo that matters: Colorize one free on Stork →