Headshot DP

AI LinkedIn headshots in Ankara print

Print blazers are professional dress across West and East Africa. Most AI headshot tools mud the print — this makes a LinkedIn headshot that keeps it.

6 September 2026

An Ankara blazer is ordinary professional dress in Lagos, Accra and Nairobi. It goes to the office, to a client meeting, onto a conference badge. It is not a cultural outfit somebody puts on for an occasion — it is a jacket.

That matters most on LinkedIn, where your headshot sits beside your name on every message, comment and application.

Ask most AI headshot tools for one and the print comes back muddied: the bold geometry softened into a smear, the colours pulled toward each other, the whole thing reading as a jacket with a texture rather than a jacket with a pattern. Ask for "African print" and it gets worse — you get a generic idea of one, assembled from everything the model has ever been shown under that label.

Ankara is a wax print. Kente is not.

This is the distinction most tools flatten, and it is worth being exact about.

Ankara and kitenge are wax prints — bold, saturated, repeating, printed on cotton. Kente is a handwoven Ghanaian cloth with an entirely different construction and an entirely different meaning. They are not variants of one another and they do not belong in the same instruction.

Nothing in the set mentions kente. Asking for both at once is how a model produces something that is neither, and it is the kind of error that is obvious and irritating to anyone who knows the difference.

A man in a green and gold Ankara wax-print blazer over a black top, photographed in an office
An example of the style, not a customer's photograph — nobody in this picture exists.

The print is allowed to stay bold

Tools like this one are normally told to keep clothing plain, because patterns are where generated clothing goes wrong — garbled marks, invented logos, the tells that read as fake. That is the right instruction for a blazer and the wrong one here, so it is switched off for the garments whose cloth is the garment.

The set varies the print rather than the colour alone: a large circular motif, a fine geometric repeat, a bold two-tone, a patterned body with plain cuffs, a shawl collar, a mandarin collar. Eight pictures of one jacket is the failure worth avoiding.

Whether the prints come back right is a question for somebody who wears them, and that review has not happened. It is why this page is a draft.

A woman in a green and orange Ankara print blazer, photographed in an office
The same style, a different cut and a different print. Also nobody real.

What else you choose

The dominant colour, the room, the light, the crop, the retouching. Glasses have their own tick box, and it is worth using even when your own photographs show you wearing them.

How it works

Upload 8 to 20 ordinary phone photographs. Choose the look from pictures rather than words. Pick your favourites from a spread of previews, and download those at full size.

What it costs

$25.00 for eight HD headshots. $35.00 for sixteen HD headshots. $49.00 for twenty-four HD headshots. Paid once, up front. More pictures later are $4.00 each.

Your photographs

Deleted after 30 days, along with everything trained on them. Not archived, not anonymised, never shown to anyone else.

Questions

Can I choose a specific print?

No, and we would rather not pretend otherwise. You choose Ankara and the set spreads across several prints so the pictures differ from each other. Reproducing one particular cloth faithfully is not something words can promise.

Will it look like me?

Your face is learned from what you upload, which is why we ask for at least 8, and why variety across those photographs matters more than how good any one of them is.

Is a print blazer formal enough?

Where it is worn, it is business dress — which is the reason it is offered here rather than filed under something else.

See yourself before you pay.

One headshot of your own face, free and without a card. Keep going only if it looks like you.

See My Headshot Free →

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