Use machine learning to automate each step of the food logging process.
Our food recognition model recognizes thousands of most commonly eaten foods, making logging a meal as simple as taking a picture and confirming suggestions.
The system learns to recognize previously logged meals so repeat meals take a second to log.
Use selected suggestions and contextual information to interactively update and improve the suggestions, making it easy to log items that are not visible in the image.
Support quick meal entry without images using text or barcode search.
Search as you type means that most items show up in the first few strokes
Use contextual information like time of day and eating preferences to improve search result ranking.
Faceted resuts that highlight previously logged items.
Understand what users are eating with our continuously expanding Food Knowledge Graph.
Nutrition infromation includes calories, macros and micronutrients.
Categorized by dietary trends, cuisine, preparation method and restrictions.
Includes everything that's needed to add food logging to your app.
Integration is easy with our RESTful and GraphQL APIs.
Cross Platform SDK
We're always working on improving the SDK and adding new features.
Growing Food Database
Learned Search Ranking