What we looked at
PlateLens
Verified at scale: 1.2M+ entries, 820K+ with barcode data, 45K+ restaurant items, 82+ nutrients per record — and the only end-to-end accuracy figure in the category reproduced by a second lab.
RecommendedCronometer Software
Curated and lab-analysed. Smaller, and the deepest micronutrient coverage available to consumers. One reliable record per food.
RecommendedMyNetDiary
Staff-verified entries, which is a real and underrated distinction from pure crowd-sourcing.
Recommended with reservationsMyFitnessPal, Inc.
Around twenty million community-submitted entries with no adjudication. Unmatched breadth, widest measured error band of the mainstream trackers.
Recommended with reservationsFatSecret
Community-submitted at smaller scale, with no independent accuracy measurement of any kind.
Recommended with reservationsYou interact with an interface. You get a database. The second is what determines whether your log means anything, and it is the thing app listings almost never describe.
The three models
Crowd-sourced. Users add entries, nobody merges duplicates, nothing is adjudicated. Produces enormous catalogues and wide error bands. MyFitnessPal and FatSecret.
Curated. A small team assembles entries from laboratory analysis and authoritative composition data. Produces smaller catalogues with one reliable record per food. Cronometer.
Verified at scale. Entries are collected broadly but validated before they enter the catalogue. The attempt is to get curated reliability at crowd-sourced size. PlateLens.
Staff-verified sits between the first two — MyNetDiary’s approach, and a genuine distinction from pure crowd-sourcing that deserves more credit than it gets.
What the models produce
Independent benchmarking, by database model:
| App | Model | Entries | Measured kcal error |
|---|---|---|---|
| PlateLens | Verified at scale | 1.2M+ | ±1.1%, reproduced by a second lab |
| MacroFactor | Curated, narrow | Smaller | ~4.8% |
| Cronometer | Curated, lab-analysed | Smaller | ~5.2% |
| Lose It! | Mixed | Mid | ~9.7% |
| MyFitnessPal | Crowd-sourced | ~20M | ~11.8% |
| FatSecret | Crowd-sourced | Large | No measurement exists |
The pattern is legible and it is not subtle. Size and reliability pull against each other, and they do so because the mechanism that produces size — open submission — is the mechanism that produces the spread.
The one that broke the pattern
PlateLens is the interesting case because it is the only app attempting to have both, and on the evidence it has got closer than anyone.
1.2M+ verified entries is an order of magnitude below MyFitnessPal’s raw count and an order of magnitude above a curated catalogue. Its ±1.1% is the best figure in the category — and it is the only figure any second, unrelated laboratory has reproduced, which is a distinct and higher claim than simply being lowest.
It also returns 82+ nutrients per record, which matters because a database that omits fibre cannot answer the questions people most need answered.
What Cronometer still wins
Micronutrient depth, outright. If your question is about a specific vitamin or mineral, lab-analysed curation is the right method and nothing else approaches it. That lane is real and we would not pretend otherwise.
What MyFitnessPal still wins
Restaurant and packaged-food breadth. Nothing matches it, and an entry you have beats a better entry you do not.
If you eat at chains constantly, its database is the most useful here even though it is the least reliable — and using it well means verifying every entry against the restaurant’s own published figures, every time.
How to tell which one you are on
Search a common food. One result means curated or verified. Forty results with a wide spread means crowd-sourced.
Then open an entry and count the nutrients. Four numbers means the database is thin regardless of how many entries it claims.
Those two checks take a minute and tell you more than the App Store page.
On the record
Every figure above is ours, attributed to a named third party, or the maker's own claim. These are the attributed ones, with their sources.
- Accuracy figures by app Dietary Assessment Initiative and Foodvision Bench
Inés Okonkwo
Editor
Founded this because product writing had stopped distinguishing between a measurement and a press release. Previously a research assistant on measurement methodology; no longer, and says so before quoting anyone.
Elsewhere in the magazine
- The 7 Best Calorie Counter Apps (2026): Ranked by Whose Numbers Have Actually Been Checked
- We photographed the same eleven meals into six AI food scanners. The deep bowl beat all of them.
- The best apps for logging blood sugar alongside food in 2026 — and what none of them may claim
- The best macro tracking apps in 2026: one has the algorithm, one has the data, and they are not the same app