Glasses, Beards and Hats: What Changes an AI Headshot
Glasses and beards should be in every photo you upload or in none, because a model learns whatever appears consistently and averages whatever does not. Hats and sunglasses should be in none: they hide the hairline or the eyes and are rejected at screening. Upload 10 to 12 recent selfies showing one consistent version of you, and the headshots will match how you actually look.

A model learns whatever is consistently in your photos, so the rule for glasses and beards is simple: in every upload or in none. Hats and sunglasses belong in none, because they hide the parts of your face the model needs and the screening rejects them before you pay. Get that consistency right and the headshots look like you; mix it up and they look like a cousin.
This guide walks through each item in turn, what it does to the training, and the one decision you need to make before you pick your five to fifteen selfies.
What changes an AI headshot: glasses, beards and hats?
Glasses and beards change the result only when they are inconsistent across your uploads. When we train a model on your face, it treats anything present in most photos as part of you and anything present in a few as noise. Ten photos with glasses produce headshots with glasses; five with and five without produce a blurred compromise that satisfies neither.
Hats and sunglasses are different: they cover the hairline or the eyes, so they are rejected at screening rather than learned. You are told which photos failed before you pay, and you swap them for clear ones.
At a glance
| Item | What to do |
|---|---|
| Prescription glasses | Keep them on in every photo if you wear them daily; take them off in every photo if you do not |
| Sunglasses | None. Anything covering the eyes fails screening |
| Beard or stubble | Pick one look and upload only that |
| Hats and caps | None. They hide the hairline and fail screening |
| Religious head covering worn daily | In every photo, as part of your likeness |
| Photos to upload | 5 to 15, with 10 to 12 the sweet spot, all showing the same you |
Should you wear glasses in your AI headshot photos?
Yes, if you wear them most days. Your colleagues, your clients and the recruiter who meets you next month all know you as someone in glasses, and LinkedIn's photo guidelines ask for a photo that reflects your likeness. A headshot without them is technically you but reads as a stranger to everyone who knows you.
The trap is reflections. A window or a ring light bouncing off the lenses puts a bright shape over your eyes, and the model can learn that shape as if it were a feature. Turn slightly away from the light source, tilt your chin down a touch, and check each photo at full size before you upload it.
Screening is only strict about the eyes being visible. Clear prescription glasses pass, tinted or mirrored lenses do not, and sunglasses of any kind are rejected. If a photo fails, you are told which one and can swap it before paying.
What happens if some photos have a beard and some do not?
You get neither. The model learns your beard as part of the shape of your face, the same way it learns your jaw and your cheekbones. Feed it a mix of bearded and clean-shaven photos and it averages them into a soft, patchy in-between that no version of you has ever had.
This is not a quirk of AI. In the Cognition study on variability in photos of the same face, people shown different photos of one unfamiliar person frequently sorted them into separate identities, because a single face varies more between photos than most of us assume. A beard is one of the biggest sources of that variation, and a model trained on both states is being asked to be two people.
So decide which you are this month. If you have a beard, upload only bearded photos from the last few weeks, at roughly the same length. If you shaved recently, do not reach back to last year's bearded holiday snaps to make up the numbers.
Fewer consistent photos beat more mixed ones every time. Eight clean-shaven selfies from this week will give you a better set than fifteen that span two different faces.
Can you wear a hat in AI headshot photos?
No. A hat hides the hairline, which is one of the strongest cues the model uses to place the top of your face, and the screening step rejects any photo where the head is covered. The same goes for caps, beanies and hoods pulled up. You will be told which photos failed and can replace them before you pay a cent.
A religious head covering worn every day is a different case entirely. A hijab, turban or kippah is part of how you look and how everyone recognises you, so it belongs in every photo just as glasses do. Keep the style and colour consistent across the set, make sure the face itself is fully visible and well lit, and the model learns it as part of your likeness.
The principle that separates the two cases is the same one that runs through this whole article. Something you wear daily is you and should be in every photo. Something you wore for one afternoon is noise and should be in none.
Do hair length, hair colour and makeup need to match too?
Yes, and they are the mistakes people make without noticing. Hair that is long in eight photos and freshly cut in four gives the model two silhouettes to reconcile. A colour change, even a subtle one, does the same, because the model reads the tone next to your skin as part of your palette.
Makeup follows the same logic. Heavy makeup in half the photos and none in the other half produces headshots with a strange, half-applied look. Pick whichever you would wear to the meeting the headshot is for, and wear it in all of them.
There is a second reason consistency matters, beyond likeness. A PNAS study on first impressions from highly variable images found that impressions of the same person swing substantially from one photo to the next, driven by lighting, pose and expression. Your uploads set the baseline the model works from, so a consistent set gives you consistent, deliberate headshots rather than a lottery.
How do you choose which version of yourself to upload?
Ask one question: what will I look like when someone meets me after seeing this photo? That is the likeness test, and it is the one LinkedIn's guidelines are built around. The answer settles glasses, beard, hair and makeup in a single pass.
- Glasses you wear daily: on in every photo. Glasses you wear only for driving: off in every photo.
- Beard: whatever you have now, at its current length, in every photo.
- Hats, caps, hoods and sunglasses: in none.
- Daily head covering: in every photo, same style throughout.
- Hair and makeup: as you will wear them to work, matched across the set.
Then take 10 to 12 fresh selfies in that one look, in good light, and upload them to the AI headshot generator. Every photo is screened before payment, the model is trained on your face, and the finished set lands in your inbox in about an hour. If the results do not look like you, reply within 3 days and you get a full refund under the look-like-you guarantee, so the only real cost of getting consistency wrong is the hour you wait.
Plans start at $9 for five headshots and go up to $49 for sixty, all one payment, with the full breakdown on the pricing page. Whatever you pick, the input rule is the same: one version of you, in every photo.
Sources
- Profile photo guidelines and conditions, LinkedIn Help
- Variability in photos of the same face, Cognition (ScienceDirect)
- Modeling first impressions from highly variable facial images, PNAS
Ready to upload one consistent set?
Take ten to twelve selfies in the look you wear every day, glasses and all, and Picturesk screens each one before you pay, trains a model on your face and emails your headshots in about an hour. Start your AI headshots from $9, paid once, with no subscription. If they do not look like you, you get a full refund within 3 days.
Frequently Asked Questions
Written by

Ammar Afridi
Founder of Picturesk
Ammar Afridi founded Picturesk, an AI headshot generator that turns a customer's own selfies into professional headshots. He built the product end to end: the photo screening that runs before anyone pays, the pipeline that trains a model on each customer's face, and the automatic refund when a run fails.


