how it works

Eat. Log. Don't stress.

The fastest way to log a meal is the way you'd describe it to a friend. So we built the app around that.

step 01 / 05
snap

Take a photo of your plate.

Point the camera. The model identifies what's on the plate, estimates portion size from visual cues, and returns calories and macros in about two seconds. Touch-up the portion if it's off by a notch.
📷 photo · auto-detected
Top-down photo of a chicken power bowl with corn, edamame, egg and fresh vegetables
identified: chicken, edamame, corn, eggconf 92%
Chicken Power Bowl
540 kcal
protein
38g
carbs
52g
fat
14g
step 02 / 05
speak

Or just say what you ate.

Hold the mic and talk like a human. "Chicken sandwich and a small bag of chips." It transcribes, breaks the sentence into items, and looks them up. Hands free, eyes free, table-friendly.
🎙 voice · hold to talk
"I had a chicken sandwich and a small bag of chips for lunch."
Chicken sandwich
480 kcal
Chips, small
150 kcal
step 03 / 05
type

Or type. 14 words or 4.

"Big mac no fries" works. So does "1 slice sourdough with avocado and a poached egg." We do the math you'd rather not. No databases to search, no portion dropdowns.
⌨ type · plain english
big mac no fries
two slices of pizza
oat bowl w/ banana
large latte
a handful of almonds
Big Mac
563 kcal
McDonald's nutrition data. Exact match.
step 04 / 05
coach

A coach who knows your week.

The coach sees what you've eaten, what you've skipped, and what you said about it. It suggests, never scolds. Ask "what should I have for dinner?" and it answers with your day in mind.
the coach · 24/7
Morning. You hit protein 4 days in a row. Nice. Hungry?
yeah, what should i make
You've got ~520 kcal of headroom. Try:
Greek salad + chickpeas
~480 kcal · 22g P · 38g C · 24g F
step 05 / 05
sync

iOS and Web. Same account.

We launched on iOS and Web at the same time. Same login on both. Apple Health syncs two-way so your steps and workouts factor into the daily ring. On Android? The web app works in every browser. Add it to your home screen.
everywhere · same day
iPhone
iOS app
Web
any browser
Apple Health
two-way · steps · workouts · weight
Get the most accurate read

A few habits make it sharper.

Logging is one tap, but the estimate gets better when the photo gives the AI more to work with. These are the tricks our most accurate users rely on, starting with the one that helps most: weigh it and let the AI read the scale.

  1. 01
    Angle

    Hold the phone at about 45 degrees

    A slight tilt instead of a straight-down shot lets the AI see the height of the food, not just its outline, so it can judge volume on bowls, stacked sandwiches, and piled rice. For a flat plate where nothing is stacked, a clean top-down shot works just as well.

  2. 02
    Framing

    Leave nothing hidden

    Photograph the meal before you start eating, with the whole plate in frame and items not overlapping. Food tucked under a bun, buried in a bowl, or stacked behind something else cannot be measured. Spread the components out a little if you can.

  3. 03
    Weight

    Put it on the scale and shoot the readout

    Set the plate or bowl on a kitchen scale and include the number in the photo. The AI reads the grams off the display and uses the exact weight instead of estimating volume from pixels. This is the single biggest accuracy upgrade for anything you portion at home.

  4. 04
    Detail

    Say what the photo cannot show

    Add a line of text for anything invisible: cooked in two tablespoons of olive oil, low-fat milk, no dressing, restaurant portion. Oils, butter, sauces, and the sugar in your coffee rarely show up in a picture and can quietly add 100 to 400 calories.

  5. 05
    Scale

    Add a size reference

    No scale handy? Put a familiar object in the shot, a fork, a spoon, a coin, or a credit card, and the AI uses its known size to scale the portion. Your hand resting next to the plate works in a pinch too.

  6. 06
    Detail

    Name the restaurant or brand

    For chain food, type the place: Chipotle chicken bowl, Starbucks grande latte, a Big Mac. The AI pulls the exact published nutrition for the named item instead of guessing from the picture, which makes branded meals close to exact.

  7. 07
    Light

    Use good, even light

    Natural daylight gives the truest colors and the sharpest detail, and color and texture are exactly what the AI uses to tell foods apart. Avoid dim restaurant lighting, hard shadows, and strong color casts from screens or neon signs.

  8. 08
    Quality

    Keep it sharp and fill the frame

    Hold steady, let the camera focus, and get close enough that the meal fills most of the frame without cropping anything off the edge. A blurry or distant photo hides the texture cues the model relies on to identify each food.

  9. 09
    Framing

    Shoot multi-part meals piece by piece

    For a homemade plate with several distinct foods, a quick photo of each part beats one busy shot. Separate photos give the model clean boundaries for the rice, the chicken, and the vegetables instead of one blurred pile.

  10. 10
    Review

    Check the portion, then nudge it

    The number the AI returns is a starting point, not the final word. If a portion looks light or heavy, drag the one-tap slider and the totals update live. A two-second correction often does more for accuracy than a perfect photo.

Ready when you eat next.