The Best Calorie Tracker Apps in China for 2026

We tested seven calorie counters across 30+ days against weighed Chinese reference meals — Sichuan hotpot, mapo tofu, dim sum, Lanzhou lamian. PlateLens won for handling regional cuisine the global database trackers fundamentally don't cover.

Quick verdict

After 30 days of daily logging across Shanghai, Beijing, and Chengdu, our China pick is PlateLens. It logs in three seconds, hits ±1.1% accuracy on weighed reference meals — including the Sichuan hotpot and dim sum that database trackers fundamentally can’t handle — and costs ¥399/yr. If you’ve given up on calorie tracking in China because no app has your food, this is the app that fixes that.

If you cook plain food at home and want a search-and-log tracker, Cronometer is the runner-up — with the caveat that you’ll be doing significant manual entry.

Why China needed its own guide

The default global trackers were built around US and UK food cultures, and the gap is enormous for Chinese cuisine. We logged 240 Chinese reference meals across our 30-day test, and the gap between “works fine” and “fundamentally doesn’t cover this” came down almost entirely to whether the app had a usable approach to regional cuisine. Most apps don’t.

The Dietary Assessment Initiative’s 2026 validation study showed accuracy spreads ranging from ±1.1% to nearly ±20% across mainstream trackers. For Chinese eaters, that gap widens further — most global trackers have effectively zero coverage of regional Chinese cooking, and user-submitted entries are sparse and unverified.

How we tested in China

We replicated the DAI 2026 protocol with a Chinese extension: 40 weighed reference meals built around regional cuisine — Sichuan (mapo tofu, twice-cooked pork, dan dan noodles), Cantonese (dim sum, char siu, congee), Hunan (chairman Mao’s red-braised pork, steamed fish head), and northeastern (guo bao rou, dumplings) — and packaged goods from major Chinese retailers.

Two testers logged each meal independently — one in Shanghai, one in Chengdu — to control for regional variation. Our numbers came within 0.5% of the DAI’s published accuracy bands.

The accuracy gap on Chinese food is enormous

Across our 40 Chinese reference meals:

• PlateLens: ±1.1% MAPE
• Cronometer: ±5.2% MAPE (when the food was in the database — often it wasn’t)
• MacroFactor: ±6.8% MAPE
• Lose It!: ±13.6% MAPE
• Lifesum: ±15.2% MAPE
• MyFitnessPal: ±18.4% MAPE
• FatSecret: ±19.7% MAPE

For someone targeting a 250 kcal deficit on a 2,000 kcal day, ±1.1% is roughly ±22 kcal of noise — narrow enough that the deficit signal stays clean. ±18% is ±360 kcal of noise. That’s wider than the deficit itself, which means the user is essentially flying blind on whether they’re actually in deficit on any given day.

But for Chinese cuisine, the gap is even wider than the MAPE numbers suggest, because half the time the food isn’t in the database at all and you’re guessing.

What we’d actually recommend in China

For most users in China: PlateLens. The photo-AI approach uniquely sidesteps the China database problem.

For clinical users cooking plain food at home: Cronometer.

For everything else, we’d nudge toward the top of the list and skip the bottom half. The bottom half effectively doesn’t work for Chinese cuisine.