Nutrition AI SDK

Welcome to Passio Nutrition-AI iOS SDK! When integrated into your app the SDK provides you with food recognition and nutrition assistant technology. The SDK creates a video preview layer and outputs foods recognized by our computer vision technology in the video feed of your live camera along with nutrition data related to the recognized foods.

As the developer, you have complete control of when to turn on/off the SDK and to configure the outputs which includes:

  • food names (e.g. banana, hamburger, fruit salad, quest chocolate bar)

  • lists of alternatives for recognized foods (e.g., soy milk would be an alternative of a visually recognized class milk)

  • barcodes detected on food packages

  • packaged foods recognized by the text detected on food packages

  • nutrition information detected on food packages via Passio's Nutrition Facts reader which returns information written in Nutrition Facts labels

  • nutrition information associated with the foods

  • food weight and volume for certain foods

By default the SDK does not record/store any photos or videos. Instead, as the end user hovers over a food item with his/her camera phone, the SDK recognizes and identifies food items in real time. This hovering action is only transitory/temporary while the end user is pointing the camera at a particular item and is not recorded or stored within the SDK. As a developer, you can configure the SDK to capture images or videos and store them in your app.

OpenFoodFacts Terms of use

Passio Nutrition-AI SDK added data from Open Food Facts ( Each food that contains data from Open Food Facts will have the value set in its food origin list. In case you choose to display the these food items you agree to abide by the terms of the Open Food Facts license agreement ( and their terms of use ( and you will have to add to the UI the following license copy:

"This record contains information from Open Food Facts (, which is made available here under the Open Database License ("

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