Add Color to a Photo — Pro, on our server
A black-and-white photo is not missing data so much as ambiguous about it. Every grey pixel in your photo was once a colour that lost its hue on the way to film. Many different colours map to the same grey, so “adding colour back” is really a choice among the candidates — and DDColor makes that choice the way an experienced restorer would, by knowing what the world usually looks like. Grass is overwhelmingly green; a 1960s kitchen wall is a toss-up. The demo above shows the honest consequence: the cat’s colours are convincing because cats have statistics; its blue eyes came back amber-green because pale eyes photograph to a grey the model reads as the more common colour.
Luminance is sacred. The tool changes chroma only. Composition, focus, grain, the exact play of light that made the photograph worth keeping — all of it passes through byte-for-byte in structure, returned as a full-resolution image. That is also why a soft or damaged photo comes back soft or damaged, in colour: fixing those is a different job, and the old-photos page covers how to sequence it.
When a colour must be exact, finish by hand. Regimental uniforms, team kits, flags, a bridesmaid dress the family still argues about — the model cannot know these, and a confident wrong answer is worse than grey. The practical workflow: let the AI do the whole frame, then repaint the one region whose colour you actually know in any editor. The AI base layer turns an hour of manual colorization into minutes of correction.
What it costs and where it runs. This tool runs on our GPU server — the model is too heavy for a browser — and is part of MiniPx Pro’s metered cloud runs (150 a month on Monthly, 200 on Annual, meter shown before every run). Your photo is encrypted in transit, deleted on completion and in all cases within 24 hours, and never used to train anything. Everything else on MiniPx runs on your own device.