ai · 2026-10-05

How to Get AI Headshots That Actually Look Like You

Great AI headshots need great source photos. This guide shows you exactly what to upload, what to avoid, and how to get a result you can use on Monday.

Gather Your Best 20 Source Photos

Think of the AI as a talented but literal-minded art student. It will copy exactly what you show it. Your job is to provide a perfect reference library. Twenty photos is the sweet spot—enough data for the AI to learn your face, but not so many that it gets confused by bad lighting or weird angles.

Pull pictures from the last two years only. Your face changes. Find ten close-up selfies with even, natural light—the kind you get by a window, not under a harsh bathroom bulb. Then, add ten photos others took of you, from social events or work meetings. This mix teaches the AI your face from different perspectives and in various, more natural expressions. One client used only stiff, posed corporate shots; her AI result looked like a tense wax figure. We added three laughing candid shots to the batch, and the next version had a genuine, approachable smile.

Avoid These 5 Common Photo Mistakes

Bad input guarantees a strange, uncanny output. Steer clear of these five errors.

Select Your Professional Style and Setting

You must direct the scene. Don't just say "professional." That’s too vague. Be a film director. Describe the setting, clothing, and mood in specific, simple words.

Instead of "business headshot," try "indoor office setting with soft window light, wearing a navy blazer over a gray sweater, friendly and confident expression." This gives the AI a concrete scene to build. For a creative field, you might say "at a coffee shop with warm wood background, wearing a black turtleneck, thoughtful and approachable look." I had a musician client who initially wrote "rock star." He got leather jackets and neon lights. He changed his prompt to "recording studio environment, wearing a simple denim shirt, passionate and focused expression," and finally got a usable shot.

Use the AI's Feedback to Guide Edits

Your first result is a first draft, not a final product. Look at it with a detective’s eye. What’s almost right but slightly off? That tells you what to fix in your source photos or your prompt.

If the jawline seems too strong or weak, add a few more source photos that clearly show your jaw from the same angle. If the hair texture looks like plastic, include a closer shot of your hair in good light. Is the expression blank? Add two or three source photos with your genuine, subtle smile. One project gave a client eerily green eyes. We realized all her source photos were taken in a garden, reflecting green light. We added two indoor photos with neutral walls, and the eye color corrected itself on the next generation.

Crop and Use Your New Headshot Correctly

A great headshot can be ruined by bad framing. The modern standard is a close crop. On LinkedIn, your face should fill a good portion of that tiny circle. Crop from the mid-chest up, with a bit of space above your head. Your eyes should be level with the top third of the image—this feels engaging, not confrontational.

Save two versions: one high-resolution for your website or print materials, and one optimized for web (under 500KB so it loads fast). Use the same headshot everywhere for a year. Consistency builds recognition. Switching your profile picture every month makes you harder to remember.

The goal isn't a flawless, generic avatar. It's a polished, recognizable version of you that works when you can't be there in person. When you gather thoughtful photos, give clear direction, and refine the output, you end up with a tool that opens doors, not one that raises eyebrows.

Keep reading

A few guides that answer the questions this one leaves open:

Prefer to skip the reading and just see the result? Browse headshots by profession and style, or see how teams order consistent photos.