Food Logging for Diabetic App & Calorie Counting for a Caloric Tracking App

Use case

Consumers with health or diet conditions need an easy, one click way, to save into their food log the foods they have eaten during the day. Currently, they are limited to searching for foods and using dropdown menus which makes them unlikely to maintain a food diary.
A natural language food logging solution would help your business improve adherence and increase customer satisfaction.

Edamam’s solution

You can use Edamam’s Food Database API to send simple sentences and get back structured food data with nutrition. Send to the API “I had fish and chips” becomes immediately an actual food with serving size and full nutrition. With natural language processing there are no more drop-down menus.
It is easy to use this feature by employing the food-logging context option in the Food Database API.

Use case

Most calorie counting apps rely on the tried and tested food search functionality. Customers search for a food and then select the right choice from a dropdown list.
For this to work well they need a vast database of product so that they can always find the product they are looking for.

Edamam’s solution

Edamam has compiled a database of over 900,000 foods. If your customer is looking for a food, they bought from the supermarket or if they are eating out at a restaurant they are in good hands. Edamam’s database contains virtually all foods you can eat in a fast food restaurant, buy in store or take out from your local eatery. What is more you can search for foods which are good for you by using Edamam’s filters for allergies and diets. Gluten free or paleo, can’t have peanuts? Edamam can help with this.

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For a deeper look at the Food Database API please check out the Food Database API Documentation.