How Accurate Are AI Baby Generators?

What accuracy would even mean

A true predictor would need to know which of each parent's two gene copies the child inherits, how those variants interact, and how the environment shapes the result. That information does not exist in a photograph. Two parents can produce children with different hair colours, different eye colours and different face shapes from the same gene pool.

So the honest test is not "does it match my future child" — nobody can run that test — but "is the invented child plausible, and does it visibly derive from both parents".

Where generators are strong

• Skin tone and hair colour, when both photos are well lit and recent.
• Overall face shape and the balance between the two parents.
• Eye shape and the general impression of the eyes.
• Expression and pose — the model knows what a baby portrait looks like.

Where they are weak, honestly

• Fine detail that needs close-up photos: eyelash pattern, ear shape, tooth shape.
• Anything that changes with age — a newborn's eye colour often darkens in the first year.
• Rare combinations: the model leans on what it has seen, so unusual trait combinations regress toward average.
• Exact resemblance to an existing sibling. Each generation is a new sample.

How to judge an accuracy claim

Look for what the page actually promises. "Photorealistic" is a rendering claim and is defensible. "Predicts your baby" is a genetics claim and is not. Pages that show a lab coat, a percentage, or the word "science" next to a face-morph screenshot are selling confidence, not accuracy.

OurBaby labels every result as a fictional person for entertainment. That is the honest version of the same product.