iPhone app, coming soon

Eat yumr.

The AI meal scanner that doesn’t lecture. Snap a photo, get the ingredients and macros, no shame. No junk labels, no stoplight colors, no leaderboards.

iOS 17+ Native SwiftUI. HealthKit ready.

Built for people who want to know, not obsess

No leaderboards No stoplight colors No shame language No subscription guilt
What makes Yumr different

Three things we refuse to do

Most meal trackers guilt you into logging. Yumr is built the other way around.

It asks before it guesses

When the AI is unsure about a portion or an ingredient, it asks you a quick question instead of inventing a number. Honest accuracy beats fake confidence.

No shame framing

Score tiers are Glowing, Solid, So-so, Heavy, Rough day. No “junk” labels. No red faces. No stoplight colors. We’re not your dietitian.

Built for iOS

Native SwiftUI. HealthKit ready. Apple Watch and Live Activities on the roadmap. iPhone-first, no web app, no Android shortcut.

How it works

Three steps, under a minute

No logging grid. No database hunt. No shame popups.

1

Snap a meal photo

Point your iPhone at whatever’s on the plate. One tap, no framing games.

?
2

Mochi looks at it

And asks a question if it’s unsure. Portion size, sauce, hidden ingredients — honest, not guessy.

3

Get the breakdown

Calories, macros, ingredients, a neutral score. You read it, you move on.

A peek

What a scan looks like

Neutral scoring. Simple macros. One screen, no nagging.

Today · 12:42 PM
Pasta with marinara
Score Solid
62/100
Ingredients
penne pasta · crushed tomato · garlic · olive oil · basil · parmesan
540
kcal
18g
protein
76g
carbs

Stylized preview. Real app coming soon.

Pricing

Two ways to pay. Neither is a subscription.

No monthly. No trial trap. No subscription guilt.

Annual
$29.99 / year

If you just want to try it for a while.

  • Unlimited meal scans
  • Macros & ingredient breakdown
  • HealthKit sync
  • All future updates for a year
Coming soon to App Store

No monthly. No trial trap. No subscription guilt.

FAQ

Questions, honestly answered

If something’s missing, email us — we reply.

What’s different about Yumr vs MyFitnessPal or Cal AI?
MyFitnessPal makes you type. Cal AI guesses and pushes streaks and shame. Yumr takes a photo, asks when it’s unsure, and gives you a neutral number. No junk labels, no green-red stoplights, no nagging. You look, you move on.
Why no “junk” labels?
Because food shaming doesn’t change behavior — it just makes people feel bad and delete the app. We use neutral tiers: Glowing, Solid, So-so, Heavy, Rough day. You can tell where you stand without a red face on the screen.
Does it work for diabetics or low-carb tracking?
Yes. Carbs, fiber, sugar, fat, and protein are all shown per meal. HealthKit sync means your readings stay in one place. Yumr is a tracker, not medical advice — talk to your doctor for treatment decisions.
What about HealthKit?
Macros, energy, and water can sync to Apple Health so your existing dashboards, rings, and Apple Watch complications keep working. You opt in per metric — nothing leaves your phone unless you say so.
Apple Watch support?
On the roadmap. Lifetime plan includes it whenever it ships. Live Activities for meal timing are also planned.
Why one-time payment instead of a subscription?
Subscriptions train apps to nag, push notifications, and hold features hostage. Lifetime means we have to ship good updates to win new customers — not guilt existing ones into staying. It’s the honest deal.
Is my meal photo stored anywhere?
Photos are sent to our scanning backend to do the analysis and are deleted right after. We don’t keep a server copy, we don’t train models on your meals, and we don’t sell data. Full details in the privacy policy.
What if the AI is wrong about my meal?
You can edit any ingredient, swap portions, or add something it missed. Corrections stick locally so future scans of the same kind of meal get better. When Mochi isn’t confident, it asks up front instead of guessing silently.
Can I add my own ingredients manually?
Yes. You can scan a photo, type a meal, or mix both. For home cooking, you can build a recipe once and reuse it. The photo flow is just the fastest path, not the only one.
Does it work offline?
The app opens, your history, and manual logging all work offline. The photo-based scan needs a network because the vision model runs on our backend. On-device fallback is something we’re exploring.
iPad support?
Yumr runs on iPad as an iPhone-scaled app at launch. A native iPad layout will come after the iPhone version ships and finds its rhythm.
Android version?
Not planned. Yumr is iPhone-first so we can actually ship something good. If enough people ask, we’ll think about it — but we won’t ship a worse version on a second platform just to have a checkbox.

Eat yumr.

Know what’s on your plate without being lectured about it.

Coming soon to App Store