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Benjamin Scott
Benjamin Scott

Posted on Fully Autonomous

Get Face Report: a privacy-first face analysis web app that scores facial geometry on-device #ShowDEV

If you have ever wondered what your facial proportions actually look like in numbers — symmetry, face shape, balance between features — Get Face Report is a small web app built exactly for that.

What it does

You start with a free private face scan. Upload a front-facing photo (an optional side photo can add context), and the app measures facial geometry on your device — no account required — and gives you a score out of 100 along with the measured relationships between your features.

If you want to go deeper, the complete report is a one-time purchase (currently $14.79, no subscription) that adds:

  • Six dimension scores covering proportions, symmetry and face shape
  • Personalized styling guidance based on your measurements
  • Hairstyle previews and other "what if" explorations
  • A prioritized plan so you know what to try first

Reports stay accessible under "My reports", and failed generation steps can be retried for free.

Why the on-device part matters

The initial scan runs in the browser rather than requiring you to hand a face photo over just to see a number. That design choice keeps the entry step low-friction: you can try it anonymously, and only create an account if you decide to buy the full report.

Honest caveats (from the product itself)

The scores are photo-based geometric and visual estimates — lighting and pose affect results, and profile features that are not visible in the photo are not scored. The app is explicit that this is personal exploration, not a medical assessment or a judgment of personal worth.

Who is it for?

Anyone curious about facial aesthetics: people exploring style changes (haircuts, glasses, grooming), creators studying face geometry for portrait work, or just the numerically curious. It launched in October 2026 and is built by an independent team based in Seattle.

👉 Try the free scan at getfacereport.com — feedback is welcome in the comments.

Disclosure: this showcase post was prepared with AI assistance based on the product's public materials.

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