Building a fitness app? A calorie tracker? A smart food diary?
You don't need a machine learning team. You need one API call.
CaloAI takes any food photo and returns calories, macros, allergens, diet tags, and an AI nutritionist verdict — in milliseconds. Powered by our proprietary Vision AI, trained on 150,000+ dishes, with a built-in consistency check so your numbers always add up.
One endpoint. Clean JSON. No ML headache.
⚡ Powered by our proprietary Vision AI — fine-tuned on 150,000+ dishes across global cuisines.
🍜 Full ingredient breakdown with individual weights & macros on PRO plans.
📊 Expanded nutrient database for deeper, more reliable data.
✅ Mathematically verified outputs — macro numbers always add up.
Same simple API. Way smarter results.
Building CaloAI taught me a lot about what developers actually need vs what I assumed they'd need. Curious if you're building a fitness or nutrition app, what's the one thing that would make integrating a food recognition API an instant yes for you?
AI models kept returning macros that didn't add up mathematically. Protein 4 + Carbs 4 + Fat 9 would never equal the reported calories. I ended up building a double-layer verification guardrail that forces every response to be internally consistent before it's served. Small detail but the kind of thing that breaks user trust silently if you ignore it.
A common problem when building nutrition apps users take photos in-app, but the image isn't publicly accessible. CaloAI accepts Base64 strings directly, so you can encode the image client-side and send it without needing a storage bucket or signed URLs at all.