A halal calorie counter that actually understands halal food

The Quiet Frustration of Tracking Halal Food in Most Apps

If you eat halal food regularly — whether by religious observance, family tradition, or simple preference — you've probably noticed that most calorie tracking apps weren't built with you in mind. The food databases that power MyFitnessPal, Lose It!, and Cronometer are dominated by Western chain restaurants and packaged supermarket items. They're functional for a turkey sandwich, but the moment you sit down to a plate of biryani, mansaf, or kabsa, the friction starts.

You search for "biryani" and get a dozen user-submitted entries with wildly different calorie counts. You search for "shawarma" and have to guess whether the entry someone uploaded matches your local spot's portion. You search for the dish your mum makes — the one that's been in the family for generations — and find nothing remotely close.

None of this is unusable. It's just exhausting. And when something is exhausting, you stop doing it.

Why Photo-First Tracking Works Better for Halal Cuisine

Bento Bunny doesn't ask you to find your food in a database. It asks you to show it. You point your camera at your plate, the AI identifies what's on it, estimates portions visually, and returns a calorie and macro breakdown in seconds.

This approach works particularly well for cuisines that are under-represented in Western nutrition databases. The AI doesn't need a perfect database entry called "Pakistani-style chicken biryani with raita and salad" to give you a useful estimate. It looks at what's actually on the plate — the rice, the chicken, the yogurt sauce, the cucumber and tomato — and computes the meal from those components.

Home-cooked food is where the difference is most stark. The biryani your mother makes isn't in any database, but it's still rice, chicken, oil, and spices, all of which the AI recognises as familiar ingredients with known nutritional profiles.

Foods Bento Bunny Handles Well

The AI has been tested across a wide range of halal cuisines. A non-exhaustive list of dishes it estimates accurately:

• South Asian: Biryani (chicken, mutton, vegetable), karahi, nihari, haleem, daal, chapati, naan, samosas, pakoras, kheer
• Middle Eastern: Shawarma (plate or wrap), mansaf, kabsa, machboos, mixed grill, hummus, baba ganoush, tabbouleh, fattoush, kunafa
• Turkish and Levantine: Kebab (adana, shish, doner), pide, lahmacun, mezze plates, baklava, künefe
• North African: Tagine (chicken, lamb, vegetable), couscous, harira, msemen, seffa
• Southeast Asian halal: Nasi goreng, mee goreng, rendang, satay, roti canai, murtabak
• Everyday halal home cooking: Mixed rice plates, stews, grilled meats, salads, lentil dishes, vegetable curries

Restaurant Halal Food

For restaurant meals, the AI handles the realities of how halal food is actually served — typically larger portions than database "single serving" entries assume, often with rice or bread that's hard to portion estimate by eye, and frequently with sauces or oils that database entries gloss over.

Because Bento Bunny works from your actual plate rather than an idealised database entry, it tends to estimate restaurant portions more accurately than database trackers, which assume you've ordered a "standard" serving.

Ramadan Tracking

For people who fast during Ramadan, food tracking takes on a different shape. The two main meals — suhoor before dawn and iftar after sunset — happen at unusual times, and the focus shifts to making each meal nutritionally complete within a compressed eating window.

Bento Bunny's logging timestamps automatically reflect when you actually log a meal, so suhoor at 4am shows up as suhoor in your daily view rather than getting confused with the previous day. The macro tracking is particularly useful during Ramadan since hitting protein and complex carb targets in two meals requires more deliberate planning than spreading them across three.

Privacy Matters Here, Too

Bento Bunny's AI runs entirely on your device using Apple's Foundation Models on iOS 26 and later. Your meal photos are processed locally and don't leave your phone for nutritional analysis. For anyone uncomfortable with photos of family meals, religious gatherings, or personal eating patterns sitting on a third party's servers, the on-device approach is meaningfully different from cloud-based alternatives.

What's Missing

Being honest about gaps matters. A few things Bento Bunny doesn't currently provide that some halal-conscious users may want:

• Halal certification metadata. The AI estimates the nutrition of the food in front of you, but it doesn't verify whether it's certified halal. Source verification remains your responsibility.
• Ingredient-level alerts for hidden non-halal items. If a restaurant uses non-halal stock or wine in cooking, the AI won't flag that — it just analyses what it can see on the plate.
• Built-in Islamic calendar integration. No automatic Ramadan mode or Eid meal flagging yet — these are on the roadmap but not in the beta.

Try Bento Bunny During Beta

Bento Bunny is free during its beta period. If you've been frustrated by calorie counters that treat halal food as an edge case, the photo-first approach is worth trying — particularly for home-cooked meals where database entries simply don't exist. Join the waitlist to get early access.