The Nutrition Analysis API and Database uses Natural Language Processing and semantically structured data.
By Edamam
Updated 3 weeks ago
Since we understand the recipe – ingredients, diets, allergies, nutrition, taste, techniques & more. We can connect your users with the best recipes available for their unique food preferences.
Search over 2 million recipes
- Search our large recipe database. We add new sites and recipes continuously.
- You will also get access to over 5000 top web recipe sources
- Our search algorithm returns the most relevant recipes from the most popular and best recipes sources on the web. We order recipes by their cookability and quality so your customer can always count on getting the best recipes!
Semantically organized database
- The recipes in our database are normalized and can be filtered in the search by calorie and diet preferences.
Full nutrition for each recipe
- We have the most accurate automated nutrition analysis on the web powered by our proprietary Natural Language Processing (NLP) engine. Customers get detailed nutrition breakdown of each recipe with 25+ nutrients and appropriateness for all major diets.
- Filter by calories, diet or allergy restrictions
- Edamam has developed over 35 diet and health filters for your customers to use. Now you can develop applications for virtually any popular diet or major health condition.
Recipe caching
- Edamam may allow caching for those customer on custom plans.
By Edamam
Updated 3 weeks ago
This API provides you with tools to find nutrition and diet data for generic foods, packaged foods and restaurant meals. In addition it employs NLP (Natural Language Processing) which allows for extraction of food entities from unstructured text.
Covered Use Cases:
-Search for a food by keyword, food name or UPC/Barcode
-Sourcing of nutrition facts for a given food, including: macro and micro nutrients, allergen labels, lifestyle and health labels
-Search for a food by given nutrient quantity for 28 nutrients
-Seach for foods within a given brand
-Built in food-logging context it allows for NLP requests for chat bots and natural language calorie counters
By Edamam
Updated 3 weeks ago