cCalorieScan.

About

A small team. One product.

CalorieScan AI is the photo-first nutrition tracker. We're an independent, no-VC team building one app for one platform — iOS — and writing about nutrition science and food technology along the way.

What we make

CalorieScan AI is a calorie and macro tracker for iPhone. The core workflow is a single photo: point the camera, hit the shutter, and the app returns calories, protein, carbs and fat in about three seconds. If the AI is wrong, you correct it in plain English. There's no database to search and no barcode required.

Why we built it

Every existing calorie tracker assumes you have ten minutes a day to manually enter food. Most people don't, which is why most calorie tracking attempts collapse by week two. We built CalorieScan AI for the ten-second user.

Who built it

Bryan Ellis — Founder

Bryan is an independent engineer based in California. Background in iOS development and consumer-AI tooling. CalorieScan AI is his sole project.

Maya Lin, RD — Reviewing dietitian

Maya reviews our nutrition science writing for accuracy and contributes essays as M. Lin, RD.

Dr. Jordan Park — Contributing physician

Jordan covers GLP-1 and metabolic-health topics. Independent, not affiliated with any medication manufacturer.

How we make money

  • App Store subscriptions ($9.99/month or annual). That's it.
  • No ads at any tier.
  • No data sold to advertisers.
  • No affiliate links in the editorial blog.

What we don't do

  • We don't have a streak counter. We've written about why.
  • We don't gamify food. No "good day / bad day" framing.
  • We don't use your meal photos to train our models without explicit opt-in.
  • We don't recommend our app for users under 18 or for users with a history of disordered eating.

Editorial standards

Every essay on the blog has a named author and a publication date. Citations to primary sources (USDA, peer-reviewed studies) are linked inline. Comparisons to competitors are written by us, not by the competitor's marketing team — which is why we sometimes recommend you use a different app. Our full methodology page explains how we measure accuracy and how the AI pipeline works.

Press & contact

For press, partnerships, or interviews, see /press or email hello@caloriescanai.com. For product support, email support@caloriescanai.com — Bryan or someone on the team writes you back.