What it is
Send a meal as text or a photo. It splits the menu, normalizes each dish name, and returns calories, carbohydrates, protein, fat and sodium as standard JSON.
How it was made
Nutrient values are looked up in the Korean MFDS food composition database, and foods that are not Korean are also looked up in USDA FoodData Central. The language model only identifies dishes and estimates a serving size; it does not produce the numbers. Each response says which source a value came from.
Where it stands
Four endpoints are available over a REST API: text analysis, image analysis, food search and source comparison. They can also be called through an MCP server and Agent Skills. Sign-up is free and needs no card.
Details
- Platform
- REST API · MCP · Agent Skills
- Languages
- 한국어
- Price
- Free to start (paid plans available)
- Links
- nutritionengine.io ↗
Projects
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