The scale gets the grams
Put the food on the scale you already own. The number on its display is the weight, so there is nothing to pair and nothing to buy.
You eat.
It logs.
Ray-Ban Meta glasses look at the kitchen scale you already own, read the grams off its display, name the food, and log it for you. No manual entry. Hands free. Works with any digital scale.
- Works with Ray-Ban Meta
- Any digital kitchen scale
- Muse Spark reads the frame
- Barcodes get read
- Macros and kcal go to Apple Health
How it works
No manual entry. Hands free.
Typing apps make you enter every food. Photo apps guess the portion from a picture. itlogs.food reads the number your scale already shows.
The glasses get the images
Ray-Ban Meta glasses see what you see. No phone in your hand, no photo to take, nothing to type.
The system names the food
Muse Spark names the food and reads the display. When it is unsure, it looks again before anything is logged.
Barcodes get read
Packaged food carries its own answer. Scan the barcode and the row takes the numbers from the product's label, through Open Food Facts.
Macros and kcal go to Apple Health
Protein, carbs, fat and kcal for every food. You check the meal, then send it with one tap.
Compare
Weighed, not guessed.
| itlogs.food | Photo apps | Typing apps | |
|---|---|---|---|
| What you do | Put the food on the scale | Photograph the plate | Search, pick, type the amount |
| Your hands | Free | Holding the phone | Typing on the phone |
| The grams | Read off your scale | Estimated from the picture | Whatever you enter |
| Scale | Any with a digital display, nothing to pair | None | Yours, if you copy the number |
| Packaged food | Barcode, the label's numbers | Varies by app | Barcode or search |
Four popular photo apps logged calories and fat about one-third too low, across about 100 meals measured to 0.1 g. Study led by an NIH fellow, presented at the American Society for Nutrition's annual meeting.
The log
A log that writes itself.
Every line carries the grams, the calories and protein from a nutrient table, and the label the loop produced: agreed, confirmed, or corrected. Those labels are tomorrow's eval set.
- Grams to the unit, straight off the display
- Protein, carbs, fat and kcal from the grams
- Sent to Apple Health with one tap
- 18:42grilled chicken breast218 g360 kcalagreed
- 18:43cooked white rice187 g243 kcalconfirmed
- 18:44olive oil9 g80 kcalagreed
- 18:45roasted pumpkin120 g53 kcalcorrected
- 18:47
dinner534 g736 kcal74 g protein
In the kitchen
Glasses on. Scale on. That's the setup.
“Every other health stream fills itself: the ring, the watch, the body scale. Food was the one log still typed by hand. The typing is what kills the habit.”
Pictures generated with Muse Image, Meta's image model.
Built on
Meta's models, in the loop.
Ray-Ban MetaThe glasses, through the Wearables Device Access Toolkit: camera stream, microphone, the button.
Muse SparkReads the frame: the food, the number on the display, and how sure it is. Structured output, every time.
Muse Voice TranscribeHears your answer when the two reads disagree. Realtime, endpointing, 24 kHz.
Muse ImageMade every picture on this page from a text prompt and one reference frame.
Muse GlimmerThe open-weight path: the same reader on a Mac, recalibrated on the labels the loop produces.
FastAPI + SwiftA thin phone client streams frames up a WebSocket; one Python loop does the rest. Open source.
Submission 2026-NOVEMBER-04.
The build is public.
Ten days, one kitchen, every commit in the open. Watch the repository to see the film land.