Image and video decision
MedShots AI
A capable engineer can build a usable single-user or small-practice headshot flow, but reproducing the full paid product (privacy guarantees at scale, advanced retouching, batch/group processing, and team operations) and polish is multisystem work—so keep paying for organizational needs and priority features unless you only need a narrow workflow.
Visit website↗Built by hAcx, who ships 3 products in this index
$4.99/mo
$60/yr
Read off the official pricing page.
$100one-off43 h to build
$15/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 5 seats.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All MedShots AI alternatives, with the arithmetic →
What a replacement has to do
- Upload selfie -> detect & align face -> run image-generation/inpainting model to apply attire/background -> auto-retouch & compose final headshot -> deliver/download and track credit usage
What it still won’t have
- Commercial-grade advanced AI retouching and priority processing
- Batch/group headshot processing and full team management at scale
- Built-in privacy guarantee and stated policy that images are not used for training
- Satisfaction-guarantee and paid support/SLAs
What remains hard
- Brand trust
MedshotsAI is the only AI headshot platform built specifically for healthcare professionals.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 5 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal AI headshot service in Node.js (Express) + React front end, Postgres for user/credit records, and a Docker-based inference worker calling a hosted image-generation API (e.g., Replicate or self-hosted diffusers on GPU). In scope: selfie upload and validation, face detection + landmark alignment using an open-source library, image-to-image generation endpoint wired to a small set of attire/background templates, automated retouching (auto color/lighting and denoise), 4K export, per-image credit billing, simple team invite links and a dashboard showing credit balance and downloads. Out of scope: enterprise SSO, priority support SLAs, large-batch/advanced group-compositing at scale. Include error handling, authentication, basic tests for upload/credit flows, and deployment scripts (Docker + single t3.small app + inexpensive GPU inference host).
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score67
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 5
Every page the run actually retrieved.
- official productMedShots AI — product
- official pricingMedShots AI — pricing
- official docsMedShots AI — features
- open sourcehacksider/Deep-Live-Cam
- open sourceAaronFeng753/Waifu2x-Extension-GUI
Integrity checks
What held up, and what did not.
