Bring Old Family Photos Back — Carefully

Generic "enhance old photo" buttons produce unsettling results: plastic-looking skin, eyes that do not belong to the person, colors that are period-inaccurate. Family photographs are the one use case where identity preservation matters more than aesthetic upgrade — a grandfather who no longer looks like himself is worse than no restoration at all. The models behind these tools are trained and tuned specifically for low-aggression edits: restore what was there, guess conservatively where information is missing, and never invent detail that changes who a person is.

Tears, fading, silver-mirroring, and mild water damage are well inside what modern AI handles reliably. Severe emulsion loss, photos where half a face is missing, or images with only partial chemical development are harder — the AI has to guess, and guesses on faces are a bad idea. The honest answer: scan at the highest resolution you can manage, try the restoration, and if the result looks "close but not quite right," trust that instinct. For critical archives, pair digital restoration with a professional conservator.

Any colorization is a guess. Victorian dresses were not always navy; 1940s kitchens were not always pastel. Our colorizer biases toward period-plausible palettes and keeps skin tones within realistic ranges, but it is producing an interpretation, not a recovered truth. Treat the output as "what this scene might have looked like" — often beautiful and worth preserving alongside the original black-and-white, never a replacement for the historical record.