cCalorieScan.

Glossary

Calorie tracking, in plain English.

The terms you'll see across calorie trackers, nutrition science and the diet internet. We tried to define each one in one sentence first.

  • BMR (Basal Metabolic Rate)

    The energy your body uses at complete rest — heart, brain, organs, cell turnover. Roughly 60–75% of total daily energy.

    BMR is estimated by formulas like Mifflin-St Jeor (the modern default) or Harris-Benedict (older, slightly less accurate). Both take height, weight, age and sex as inputs. Lab-measured BMR via indirect calorimetry is more accurate but rarely accessible.

  • TDEE (Total Daily Energy Expenditure)

    BMR × an activity multiplier — your full daily calorie burn.

    TDEE = BMR × activity factor (typically 1.2 sedentary, 1.375 light, 1.55 moderate, 1.725 very active). Adaptive trackers like MacroFactor recalculate yours weekly from actual scale-weight changes.

    Related: BMR (Basal Metabolic Rate), NEAT (Non-Exercise Activity Thermogenesis)

  • NEAT (Non-Exercise Activity Thermogenesis)

    All movement that isn't planned exercise — fidgeting, walking the dog, standing at a desk. The most variable part of TDEE.

    NEAT is the reason two people with the same BMR and workout can have a 500-kcal/day TDEE gap. It also drops when you cut calories — your body fidgets less, walks more slowly, and conserves energy.

  • EAT (Exercise Activity Thermogenesis)

    Calories burned during planned exercise.

    Wearables systematically over-estimate EAT. We recommend treating wearable-reported burn as a ceiling, not a floor.

  • TEF (Thermic Effect of Food)

    The energy your body spends digesting food. Roughly 10% of total intake; protein has the highest TEF (~25%).

    Why high-protein diets feel slightly less calorie-dense — you net fewer calories from a 200-kcal portion of chicken than from 200 kcal of olive oil.

  • DV (Daily Value)

    The percentages you see on a US Nutrition Facts label, derived from RDAs.

    DVs are based on a 2,000-kcal reference diet. Your actual daily targets may be higher or lower depending on size, activity and goals.

  • Macros (Macronutrients)

    Protein, carbohydrate and fat — the three sources of calories in food. Sometimes alcohol is counted as a fourth.

    Calories per gram: protein 4, carbs 4, fat 9, alcohol 7. CalorieScan AI surfaces all three by default.

  • Micros (Micronutrients)

    Vitamins and minerals. Don't supply calories, but deficiencies have outsized effects.

    The most commonly tracked micros are iron, B12, omega-3, calcium, vitamin D, magnesium and zinc. CalorieScan AI surfaces 12 in the weekly review.

  • GLP-1 (Glucagon-Like Peptide-1)

    A hormone that suppresses appetite. The class of medications (Ozempic, Wegovy, Mounjaro, Zepbound) that mimic it.

    GLP-1 medications shift the failure mode of weight management from over-eating to under-eating, which is why CalorieScan AI ships a dedicated GLP-1 mode that flips the framing. See /for/glp-1.

  • Sarcopenia

    Age-related loss of skeletal muscle. Accelerates after 50.

    Best prevented with adequate protein (~1.2 g/kg bodyweight) and resistance training. CalorieScan AI's adults-50+ default raises the protein floor accordingly.

  • Cut / Bulk / Maintenance

    Three goal modes: lose fat, gain muscle, hold steady.

    Cuts are typically a 10–25% calorie deficit; bulks are a 5–15% surplus; maintenance is at TDEE. Most lifters cycle through all three over a year.

  • MAPE (Mean Absolute Percent Error)

    How far off, on average, an estimate is from the truth. Used to measure photo-recognition accuracy.

    If your app reports 600 kcal for a 500-kcal meal, that's 20% absolute error. MAPE averages this across many plates. Our current first-pass MAPE is ~17%, which we round to '~80% accuracy'.

  • FoodData Central

    USDA's canonical nutrition database — the source of truth for whole-food macros in the US.

    Combines four older databases (SR Legacy, Foundation Foods, Branded Foods, FNDDS). Most reputable trackers, including CalorieScan AI, source from it.

  • OpenFoodFacts

    An open, community-edited database of packaged products. Covers most barcodes globally.

    Quality varies — community submissions can have errors — but coverage is unmatched and the data is openly licensed.

  • Hreflang

    An HTML tag that tells search engines which language and region a page targets.

    Used when you have multiple localized versions of the same page. Not relevant to single-language sites.