Aragon AI

AI Headshots, Summarised

• Aragon AI is a headshot generator that produces professional-looking portraits from selfies you upload, without a photographer, a studio or a booking.
• Up to 100 headshots per generation, delivered in around 30 minutes, with outfits and backgrounds you select before it runs.
• Resolution differs by tier — 896 x 1088 on the standard output and 1792 x 2176 on the executive one, which matters if the image will be printed or cropped.
• The data handling is unusually well covered for this category: AES-256 encryption, SOC 2 Type II certification, account and data deletion at any time, and full ownership of the output.
• Charging is a one-time purchase per generation, with a refund available if you have not downloaded, or a free regeneration instead.

Why This Category Exists At All

It is worth being clear about the problem, because it is more specific than vanity.

A professional headshot is a genuine requirement in a lot of working life. LinkedIn, a company team page, a conference speaker listing, a real estate listing, a law firm bio, a residency application. The absence of one is noticed.

Getting one traditionally means finding a photographer, booking, travelling, being photographed — which most people find uncomfortable — waiting for edits, and paying accordingly. For a single image most people update every few years, that is a lot of friction.

Broader studios like GoStudio bundle this with editing tools and video. The result is that an enormous number of professionals use a cropped photo from a wedding, a holiday, or somebody's birthday. That is the actual competition here, and it is a low bar.

Against that baseline, a generated headshot that looks like a competent studio portrait is a clear improvement, available in half an hour, from photos already on your phone.

That framing matters for judging the product. The question is not whether Aragon matches a good photographer — it does not — but whether it beats a cropped holiday photo, which it comfortably does.

The real competition is not a professional photographer. It is the cropped wedding photo that half of LinkedIn is currently using.

What The Output Is Actually Like

Being specific about quality is more useful than either enthusiasm or dismissal, and the pattern across this category is consistent.

What works well: the overall impression at thumbnail size, which is how a LinkedIn photo is mostly seen. Lighting looks deliberate, the background is clean, the framing is conventional and correct, and the clothing reads as professional.

What tends to give it away: hands if they appear, jewellery, glasses frames, complex hair, and the specific texture of skin at full resolution. The eyes are usually good now, which was not true two years ago.

Upscalers such as Aiarty will happily enlarge that idealisation too. The subtler tell is that the person looks slightly idealised — marginally more symmetrical, marginally smoother, marginally younger. Some people want exactly that; others find the result does not look like them, which defeats the purpose of a photograph whose job is recognition.

The single biggest quality variable is your input photos. Varied lighting, varied angles, varied backgrounds and recent images produce noticeably better results than fifteen selfies taken in the same room on the same day. Garbage in genuinely is garbage out here.

Generating up to 100 images is a sensible response to this. Rather than hoping one render is right, you get a spread and pick. The corollary is that most of the hundred will not be usable, and that is normal rather than a failure.

1. Gather input photos across different days, lighting conditions and angles rather than one session.
2. Include a few where you are genuinely smiling, since generated expressions inherit from the inputs.
3. Pick a tier by where the image will be used — thumbnail-only work does not need the executive resolution.
4. Review the output at full size, not in the gallery grid, checking glasses, hair edges and jewellery.
5. Show three candidates to someone who knows you and ask which looks most like you, not which looks best.

The Data Question Is The Serious One

You are uploading photographs of your face to a company that will train a model on them. That deserves more attention than the output quality, and Aragon has handled it better than most of the category.

The stated position covers the things that matter: AES-256 encryption, SOC 2 Type II certification, account and data deletion at any time, and you own the generated photos for any use including social, print and professional profiles.

Direct competitors like HeadshotPro should be checked on the same point. That ownership clause is not a given in this category and is worth checking wherever you go. A headshot you cannot use commercially, or that the vendor retains rights over, is not much of a headshot.

SOC 2 Type II specifically is a meaningful signal because it audits controls over a period rather than at a moment. For a consumer product built on facial images, holding it is a deliberate choice rather than a box-tick.

The residual question, which applies to every vendor here, is what happens to the trained model of your face after you delete your account. Ask specifically whether deletion removes the model as well as the source photographs — those are different artefacts, and only one of them is obviously covered by deleting a file.

Biometric data also carries specific legal treatment in several jurisdictions, with distinct consent and retention requirements. That is a reason to read the actual privacy policy rather than the summary, particularly if your employer is procuring this for a team.

Paying Once Per Shoot

This site does not publish plan prices. Aragon's structure is a good fit for the product and worth understanding.

It is a one-time purchase rather than a subscription — you buy a generation, you get your images. There is a refund available if you have not downloaded the photos, or a free regeneration as an alternative remedy.

That shape is correct for the use case. Almost nobody needs a new headshot every month, so a recurring charge would be the wrong instrument, and it is a point in Aragon's favour that they have not tried to make one work.

The refund-or-regenerate policy is also the right structure for a probabilistic product. Generation quality varies with your input photos in ways nobody can guarantee in advance, and offering a second attempt rather than only a refund reflects that the fix is usually better inputs rather than a different vendor.

Two things to establish before buying: which resolution your tier delivers, since the gap between 896 x 1088 and 1792 x 2176 is the difference between web-only and print-capable; and whether the outfit and background range you actually want sits at the tier you are considering.

The comparison worth running is against a local photographer's session rate, and against the cost of continuing to use a cropped holiday photo on a professional profile.

When You Should Still Book A Photographer

Being specific about the boundary is more useful than a general caveat.

When the audience is scrutinising the photograph. A senior executive bio, a book jacket, press material, a profile that will be seen at full size by people evaluating you. Generated images hold up at thumbnail scale and less well at full resolution.

When your face is the product. Actors, models, presenters and anyone whose casting depends on an accurate likeness need photographs that are demonstrably real, and often need them in a specific format the industry expects.

When the context is regulated or evidential. Some professional registers, visa applications and identity documents require a photograph taken under defined conditions. A generated image is not acceptable and using one may cause a real problem.

When authenticity is the brand. If your positioning is personal and unpolished, an idealised studio portrait works against you regardless of how good it is.

Everywhere else — the LinkedIn profile, the team page, the conference bio, the Slack avatar — the honest answer is that a good generated headshot is fine, and better than what most people currently have.

There is one etiquette point worth adding, because it is becoming a live question: some professional contexts now expect disclosure that a portrait is AI-generated. Norms differ by industry and are still forming, so it is worth knowing your field's.

• Book a photographer: executive bios, press, book jackets, anything seen at full size
• Book a photographer: acting, modelling and anywhere likeness accuracy is the job
• Do not use generated: identity documents, visas, regulated professional registers
• Reconsider: personal brands built on being unpolished
• Generated is fine: LinkedIn, team pages, conference bios, internal directories

Output, Speed And Assurance

Should You Generate Or Book?

Generate The Headshot If

• You need a professional photo for LinkedIn, a team page or a conference bio
• Your current photo is cropped from a personal occasion
• You dislike being photographed enough that you keep postponing it
• You need it quickly and cannot wait on a photographer's schedule
• You have varied recent selfies to feed it rather than fifteen from one afternoon

Book A Photographer If

• The image will be seen at full size by people evaluating you
• Your likeness is the product — acting, modelling, presenting
• It is for an identity document, visa or regulated professional register
• Your personal brand depends on looking unpolished and real
• Your industry expects disclosure and you would rather avoid the question