Pricing
Free · Pro $9.99/mo
Log meals in under three seconds.
MyFitnessPal has 14 million food database entries — and it takes 45 seconds to log a meal. SnapCal does it in one tap. Point the camera at your plate, tap once, and AI identifies and logs every item with calories and macros in under 3 seconds.
The AI-first entrants are winning purely on speed and UX — the food database incumbents have stagnated for years while user expectations have risen.
Capabilities.
Photo-snap logging
AI identifies every food item in your photo — meal components, portion sizes, and ingredients — and logs macros in under 3 seconds. No menu browsing.
Calorie & macro tracking
Tracks calories, protein, carbohydrates, fat, fibre, and sugar. Daily and weekly targets configurable per goal — cut, maintain, or bulk.
Meal history
A scrollable visual diary of every logged meal with thumbnails. Tap any meal to edit estimates or re-log it directly to today.
Progress charts
Weekly calorie averages, macro split charts, and bodyweight trend line — synced from Apple Health or Google Fit if bodyweight is tracked there.
Custom goals
Supports standard macros plus niche diet modes: carnivore, PCOS-friendly, keto, and high-protein. Goal profiles can be switched daily for refeed days.
Restaurant & packaged food
Recognises restaurant-style plating and packaged food barcodes as a fallback. The AI handles multi-component plates that stump barcode scanners.
Pricing.
Free
5 photo logs/day · Calorie tracking · 7-day history.
$0
Pro — recommended
Unlimited photo logs · Full macro tracking · Unlimited history · Niche diet modes · HealthKit sync.
$9.99 / MO
Annual
Everything in Pro. Billed once per year.
$59.99 / YR
Frequently asked.
How accurate is the AI calorie estimation?
Accuracy is ±15% on a well-photographed plate — comparable to the margin of error in most food databases when users estimate serving sizes manually. The goal is habit formation through speed, not clinical precision. Users can edit estimates when they have more accurate info.
How is this better than MyFitnessPal?
MFP requires you to find your food in a database, estimate serving size, and tap through multiple screens. SnapCal requires one tap. For users who've quit tracking because it was too slow, the speed reduction alone drives retention. We're also AI-first — the photo log workflow is our core, not a bolt-on feature.
Does it work for non-Western cuisines?
Yes. The food recognition model is trained on a wide range of global cuisines including South Asian, East Asian, Middle Eastern, and West African dishes. Accuracy improves over time as the model is updated.