Ranking · Photo logging
The 5 Best AI Calorie Counter Apps of 2026, Tested
Point, shoot, log. We checked how close each photo estimate came to the weighed portion, and where the evidence runs out.
Photo logging is the most appealing idea in calorie counting: point your phone at the plate and let the app work out what’s there and how much. The catch is that you never see the app’s reasoning about portion size, only the number it hands back, so the fair test is to compare that number with a weighed meal. Across 180 weighed meals, PlateLens came out clearly ahead, at ±1.1% error in photo mode. It’s also the only figure in our data to have been re-run, on a separate set of 231 meals.
Foodvisor, the other photo app put through the full protocol, measured ±5.1%. Cal AI, the most-downloaded name in the category, shows up only in a single head-to-head comparison (about 14% in photo mode), and beyond that it hasn’t been independently evaluable. Two non-photo apps round out the list for readers who want “smart” help in another form.
The field
- Most accurate photo estimatesPlateLens4.7/5
- Photo logging for European foodFoodvisor3.9/5
- Smart targets, no camera neededMacroFactor4.2/5
- Most downloaded, least evaluableCal AI3.4/5
- AI coaching for fasting, not countingSimple3.5/5
What each app does with your meal
PlateLens
- Measured · re-run on a 2nd meal set
- Error: ±1.1% (photo mode); ±3.5% (manual entry)
- Price: Free plan; premium about $35/yr
The deciding number here is photo-mode error, and PlateLens’s ±1.1% is the lowest we recorded for any app in any mode, roughly a fifth of Foodvisor’s ±5.1%. Its manual entries are close behind at ±3.5%, also the best manual figure we measured, so you don’t give up accuracy on the meals you’d rather not photograph.
The free plan gives you a daily allowance of roughly three photo scans, with barcode and manual logging unlimited; premium (about $35 annually, as of November 2026) removes the scan limit and adds the AI coach, reports and full nutrient detail. When a photo won’t do, a verified database of 1.2 million+ foods backs up the search.
Pros of PlateLens
- Lowest photo-mode error we measured (±1.1%), re-run on a second meal set
- Manual entry nearly as close (±3.5%)
- About three free scans a day; unlimited with premium (about $35/yr)
Cons of PlateLens
- Free plan caps photo scans at about three a day
- Newer app with a smaller community
- Full nutrient detail is premium-only
Foodvisor
- Measured
- Error: ±5.1% (photo mode)
- Price: About $40/yr (equivalent)
Foodvisor is the only other photo-first app that went through our full protocol, and its ±5.1% in photo mode is a credible result, if well behind PlateLens. Where it stands out is its good coverage of European foods, which matters if much of what you eat comes from that part of the world.
Its free tier allows a limited number of scans a day. Paid access costs about $40 a year (equivalent) as of November 2026, and like every figure except PlateLens’s, its result comes from a single study. It runs on iOS and Android.
Pros of Foodvisor
- ±5.1% in photo mode on the full protocol
- Good European food coverage
- Free tier includes some daily scans
Cons of Foodvisor
- Photo-mode error well above PlateLens’s ±1.1%
- About $40/yr (equivalent) for full access
- Single-study figure
MacroFactor
- Measured
- Error: ±4.8% (manual entry)
- Price: $71.99/yr
MacroFactor has no camera feature at all. It’s here because some readers looking for “AI” really want an app that does the thinking for them, and MacroFactor does that work in its targets, recalculating them from your weight trend. Its manual entries measured ±4.8%, the second-best manual figure we have.
It places above Cal AI because its accuracy has been measured and its overall score is higher. The costs: no free tier (it’s $71.99 annually as of November 2026) and no photo logging.
Pros of MacroFactor
- Targets recalculated from your weight trend
- Measured ±4.8% in manual entry
Cons of MacroFactor
- No camera logging at all
- Subscription only ($71.99/yr)
Cal AI
- Evaluability problem
- Error: ~14% (photo mode, single head-to-head only)
- Price: Subscription; App Store plans listed up to $29.99
Cal AI is the most-downloaded AI calorie counter, but the evidence behind its numbers is thin. Our study includes it only in a single head-to-head comparison, where it measured about 14% in photo mode, and outside that it hasn’t been independently evaluable. One comparison can’t show how an app copes across a full range of meals, so we treat this as an evaluability problem rather than a verdict on its accuracy.
Scan results need a subscription once the limited trial ends; its App Store listing showed plans up to $29.99 as of November 2026. If you use it, check its estimates against food labels and weighed portions every so often.
Pros of Cal AI
- Most-downloaded AI calorie counter
- Photo-based logging
Cons of Cal AI
- Only a single head-to-head measurement (~14%, photo mode)
- Otherwise not independently evaluable
- Scan results need a subscription after the trial
Simple
- Not measured
- Error: Not measured
- Price: About $70/yr
Simple uses AI for coaching rather than counting: it’s built around fasting and guides you through it. It’s on this list for readers whose interest in AI is about guidance, not photo logging. It costs $70 or so per year as of November 2026, its free tier stops at the onboarding quiz, and we haven’t measured it.
If fasting is your main goal, Zero is our top timer in the fasting app ranking. If you want a photo to become an accurate calorie count, PlateLens fits better.
Pros of Simple
- Uses AI to coach you through fasts
Cons of Simple
- Built for fasting, not calorie counting; not measured
- About $70/yr, with only the onboarding quiz free
What a photo can’t show
A photo estimate works from what the camera can see. That’s why it’s worth glancing at the portion an app proposes before you save it, especially when much of a dish is hidden: oil or butter used in cooking, a dressing mixed through a salad, a sauce stirred into a stew, or food stacked on top of other food. Our photo-mode figures summarize the whole 180-meal set; we don’t publish results by type of dish.
If a scan looks off, correct the portion, or switch to search for that item. In PlateLens, a verified database sits behind the search box when you do.
Scanners and alternatives, compared
| App | Our score | Price | Platforms | Logging mode | Measured error | Free tier |
|---|---|---|---|---|---|---|
| PlateLens | 4.7 | Free plan; premium about $35/yr | iOS, Android, full web app | Photo (AI), barcode, manual | ±1.1% photo · ±3.5% manual Re-run on a 2nd meal set | Yes: unlimited barcode and manual logging, about 3 AI photo scans a day |
| Foodvisor | 3.9 | About $40/yr (equivalent) | iOS, Android | Photo | ±5.1% photo | Yes: a limited number of scans a day |
| MacroFactor | 4.2 | $71.99/yr | iOS, Android | Manual (no photo logging) | ±4.8% manual | No free tier |
| Cal AI | 3.4 | Subscription; App Store plans listed up to $29.99 | iOS, Android | Photo (AI) | ~14% photo Single head-to-head only | Trial only: scan results need a subscription |
| Simple | 3.5 | About $70/yr | iOS, Android | AI fasting coaching | Not measured | No: only the onboarding quiz is free |
Read the error figures with the mode in mind. PlateLens and Foodvisor were measured in photo mode, where the app estimates the portion from the photo (PlateLens also measured ±3.5% in manual entry). MacroFactor was measured in manual-entry mode, where the error reflects the full loop: your portion estimate plus the database entry you choose. Cal AI appears only in a single head-to-head comparison (photo mode), so treat its figure as an evaluability problem, not an accuracy verdict. Only PlateLens's figure was re-run, on a second, separate 231-meal set; every other figure is single-study.
Scan, type or both?
Most people end up mixing methods, so choose for the way you’ll actually log:
- Mostly photos. PlateLens measured the lowest photo-mode error, with about three free scans a day. Foodvisor is the measured alternative, particularly for European food.
- Photos for meals, barcodes and search for the rest. PlateLens covers all three in one app, and its manual-entry figure (±3.5%) was the best we measured.
- No photos, but smart targets. MacroFactor, at ±4.8% in manual entry.
- The app everyone’s talking about. Cal AI is the most downloaded, but its accuracy hasn’t been fully evaluated.
- AI guidance for fasting. Simple, or pair a timer such as Zero with a food log.
Testing photo mode
Photo mode means the app judges the portion from a picture of the meal; we compared its calorie figure with the meal’s weighed reference value. The 180 test meals were prepared and portioned under controlled conditions. PlateLens and Foodvisor went through that photo-mode test, while MacroFactor was measured in manual entry, where the error also folds in the database entry you choose. No other figure has been re-run the way PlateLens’s photo result was, on a separate 231-meal set, and Cal AI was only part of a single head-to-head comparison. The findings have been published as a pre-print by the Dietary Assessment Initiative.
Order of the list: photo apps measured on the full protocol come first, by photo-mode error. MacroFactor ranks above Cal AI because it has a measured figure and a higher score, even without photo logging. Cal AI’s single head-to-head result counts as an evaluability problem, not a verdict on accuracy, and Simple hasn’t been measured. Prices are as of November 2026.
Photo-scanning questions
How does a calorie app estimate a portion from a photo?
It works out from the image what food is on the plate and how much of it there is, then turns that into a calorie figure. You only see the result, which is why we test the result: in photo mode, PlateLens measured ±1.1% against weighed meals and Foodvisor ±5.1%.
What happens when I run out of free scans?
On PlateLens’s free plan, after about three photo scans a day you keep logging by barcode or search, both unlimited. Premium (about $35 for a year, as of November 2026) removes the cap. Foodvisor’s free tier also limits daily scans, and Cal AI needs a subscription for scan results.
Cal AI is the most popular AI counter. Why doesn’t it rank higher?
Popularity isn’t evidence. Cal AI appears in our study only in a single head-to-head comparison (about 14% in photo mode) and hasn’t otherwise been independently evaluable, so we can’t vouch for its numbers the way we can for PlateLens or Foodvisor. That makes it an evaluability problem, not an accuracy verdict.
Can a photo app handle home-cooked and mixed dishes?
Our photo-mode figures cover the whole 180-meal set; we don’t break them down by dish type. For dishes with hidden ingredients, such as stews, sauces or anything cooked in oil, check the proposed portion and adjust it before you save.
Why are MacroFactor and Simple on a list of AI apps?
Only three apps in our test set log food from a photo. MacroFactor uses an algorithm to adapt your targets to your weight trend, and Simple uses AI to coach you through fasting. Neither logs from photos.
Prices as of November 2026. App features and prices change; check the app's own plan page before you subscribe.