Nutron: Food Scanner vs PlateLens: AI Calorie Counter
Revenue, downloads, ratings and category context for two iOS apps. Figures are estimates and should be read as ranges, not exact totals.
Nutron: Food ScannerCSB Marketing LLC - Health & Fitness
PlateLens: AI Calorie CounterVisionTech Solutions LLC - Health & Fitness| Metric | Nutron: Food Scanner | PlateLens: AI Calorie Counter | Readout |
|---|---|---|---|
| Estimated revenue / mo | $*** - opens with trial | $*** - opens with trial | Nutron: Food Scanner |
| Revenue band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Estimated downloads / mo | $*** - opens with trial | $*** - opens with trial | Nutron: Food Scanner |
| Download band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Rating | - | - | Tie |
| Rating count | - | - | Tie |
| Tracked keywords | — | — | Tie |
| Category | Health & Fitness | Health & Fitness | Same market |
Which app is bigger?
Nutron: Food Scanner and PlateLens: AI Calorie Counter are compared inside Health & Fitness with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. Nutron: Food Scanner leads on monthly downloads in the current readout, and Nutron: Food Scanner wins the revenue readout (the exact figures open with the paid plan), Nutron: Food Scanner wins demand, Tie has deeper review volume, and Tie has the larger tracked keyword footprint. The better app depends on the job: choose the revenue leader when you need monetization proof, choose the download leader when reach matters, and choose the higher-rated or deeper-reviewed app when market trust is the constraint. Read both ranges rather than only the midpoint, then open the category hub and related collections to see whether this pair is an outlier or a normal category pattern.