
A study by Fridolfsson et al. found that AI-powered food analysis apps exhibit error rates between 48% and 66% when estimating macronutrients in multi-ingredient meals.
While apps like SnapCalorie and Cal AI claim high accuracy for simple items, researchers noted a systematic underestimation of portion sizes and difficulty identifying hidden ingredients like oils and sauces.
The 2026 systematic review in PMC warns that these inaccuracies make current AI tools unreliable for competitive athletes who require precise nutritional data for fueling strategies.