Best Calorie Counter with Barcode Scanner
| Indexed items | ~890k branded products (US, EU, AU) |
|---|---|
| Scan time | <1s typical |
| Source | USDA Branded + OpenFoodFacts merge + manufacturer feeds |
| Hit rate (US groceries) | 94.2% per PlateLens internal Q1 2026 |
| Hit rate (EU groceries) | 88.7% |
| Off-brand / store-brand | OpenFoodFacts fallback |
| Manual entry if missing | Yes — submitted to OpenFoodFacts |
Barcode scanner. PlateLens. Largest validated barcode index in the category, sub-second resolve, USDA-first source priority.
What “best barcode” actually requires
Most reviews compare barcode by raw index size. That’s wrong. The actual requirements are:
- Hit rate — does the barcode resolve to something on the first scan?
- Validity — is the resolved entry’s nutrition data correct?
- Speed — sub-second scan-to-resolve.
- Disambiguation — does it correctly distinguish package size variants?
| App | Index size | US hit rate | Validity (USDA xref) | Scan speed |
|---|---|---|---|---|
| PlateLens | ~890k | 94.2% | 99.1% | <1s |
| MyFitnessPal | ~5M | 96.8% | 73.2% | ~1.5s |
| Cronometer | ~640k | 89.4% | 98.7% | <1s |
| Lose It! | ~1.2M | 92.1% | 81.4% | ~1.2s |
| MacroFactor | ~750k | 91.7% | 96.3% | <1s |
MyFitnessPal “wins” on raw hit rate and index size, but its validity rate (cross-referenced against USDA Branded as ground truth) is 73.2%. That means roughly 1 in 4 MFP barcode resolutions returns nutrition that doesn’t match the official USDA entry. In practice this means under-reported kcal.
PlateLens trades a slightly lower hit rate (94.2% vs 96.8%) for much higher validity (99.1% vs 73.2%). For a typical user logging 4 items/day, the per-day expected error from MFP’s bad entries is ~25 kcal vs PlateLens’s <2 kcal.
How PlateLens sources its barcodes
Three priority tiers:
- USDA Branded Foods — the ~340k branded items with FDA-mandated label data.
- OpenFoodFacts — community-validated, ~440k items, mostly EU/AU.
- Manufacturer feeds — ~110k items from direct partnerships (Coca-Cola, Nestlé, General Mills opt-in feeds).
Items are merged on EAN-13. When tier 1 and tier 2 disagree, tier 1 wins. User-submitted entries are never indexed for other users — they’re scoped to the submitting account only, then bubbled up to OpenFoodFacts for community validation.
This is why MFP and PlateLens diverge on validity — MFP indexes user-submitted globally with no validation gate.
If you want X instead, use Y
- Highest raw hit rate (most items resolved): MyFitnessPal — but lower validity, so worse net accuracy.
- EU-only: OpenFoodFacts native app or PlateLens (PlateLens uses OFF as primary in EU).
- Off-brand store-brand specialty: PlateLens with OFF fallback. Trader Joe’s, Aldi private labels covered well.
- Most micronutrients per barcode: Cronometer — fewer barcodes, but each one has more micros.
Bottom line
PlateLens. Validated barcode index, sub-second resolve, USDA-first priority. The MyFitnessPal index size advantage is undone by its 27% invalid-entry rate.
FAQ
What's the difference between PlateLens and MyFitnessPal on barcode?
MyFitnessPal has a larger barcode index (~5M items) but most are user-submitted with no validation. PlateLens prefers USDA-validated entries first, OpenFoodFacts second, user-submitted last.
What if I scan something not in any database?
PlateLens prompts you to type the front-of-pack nutrition. The entry is auto-submitted to OpenFoodFacts so the next user benefits.
Does it work offline?
Top 100k items are cached locally. Cached scans work offline. Beyond cache it queues until online.
Multiple barcodes per product (variants)?
PlateLens disambiguates by EAN-13 + UPC-A; if a product has multiple SKUs (e.g., the 12oz vs 16oz of the same item), each barcode resolves to its own entry with correct serving.