Carb counting that's actually accurate.
Photo recognition. RCT-backed accuracy. 38% fewer carb errors than people with T1D estimating by eye. The carb counter your care team has been waiting for.
Carbohydrate counting is the practice of estimating the grams of carbohydrate in meals to support insulin dosing, blood glucose management, or general nutrition awareness. For people with type 1 diabetes on insulin, accurate carb counting is essential for matching insulin dose to meal — and the leading source of dosing-related glucose excursions.
Even experienced carb counters are off by 40–70%.
Carb counting is a learned skill — and the learning never plateaus. Pasta, rice bowls, restaurant meals, mixed plates: all of them defeat the human eye. The dose follows the estimate. Wrong estimate, wrong dose, wrong outcome.
Camera in, carbs out. In under 10 seconds.
SNAQ identifies ingredients from a photo, returns total carbs and macros, and shows confidence ranges so you know when to verify manually. CGM integration confirms how the carbs landed.
Built on clinical evidence.
Mean absolute carb error
Across 48 real-life meals and 128 food items in a peer-reviewed accuracy study.
JMIR mHealth, 2020Fewer errors than T1D users
Head-to-head against 53 adults with T1D estimating by eye — SNAQ wins on accuracy.
JDST, 2024Hands-free voice logging
Eating? Cooking? Driving? Tell SNAQ what's on the plate and get carbs back.
Voice + photo inputSNAQ is the only consumer nutrition app with peer-reviewed clinical evidence.
Validated in T1D patients on automated insulin delivery and built to extend to anyone wearing a sensor.
Source: eClinicalMedicine (The Lancet), 2025 · 53 T1D participants.