Nutrition Data from Text API

Nutrition Data from Text API

The Nutrition Data from Text API utilizes natural language processing to extract nutrition information from text. Whether it's food blogs, menus, or recipes, this API accurately calculates the corresponding nutrition data. Its intelligent feature includes custom portioning, scaling nutrition data based on specified quantities of ingredients within the text.

About the API:  

The Nutrition Data from Text API leverages advanced natural language processing techniques to extract precise nutrition information from various forms of text, spanning food blogs, menus, and recipes. Its intelligent algorithm incorporates custom portioning, dynamically scaling the nutrition data based on specified quantities of individual food items or ingredients within the text. By accurately calculating the corresponding nutrition data, this API empowers developers to create innovative applications for meal planning, dietary analysis, and nutrition tracking. With its versatility and accuracy, the API streamlines the process of accessing nutrition information from textual sources, catering to the needs of diverse industries and use cases.

 

 What this API receives and what your API provides (input/output)?

Returns a list of nutrition information extracted from given text. Nutrition data for each food item is scaled to 100g unless a quantity is specified within the query parameter.

 

What are the most common uses cases of this API?

 
  1. Dietary Tracking Apps: Integrate the Nutrition Data from Text API into dietary tracking apps to automatically analyze and log the nutritional content of users' meals. By extracting nutrition information from text inputs such as food diaries or recipes, the app can provide users with insights into their daily dietary intake.

  2. Recipe Recommendation Platforms: Enhance recipe recommendation platforms by utilizing the API to analyze and categorize recipes based on their nutritional profiles. Users can discover recipes tailored to their dietary preferences and nutritional goals, ensuring a personalized and balanced meal selection.

  3. Menu Analysis Tools: Develop menu analysis tools for restaurants and food service providers to evaluate the nutritional content of their offerings. By parsing menu descriptions and ingredient lists, the API can generate detailed reports on the calorie, macronutrient, and micronutrient composition of each dish.

  4. Healthcare Solutions: Integrate the API into healthcare applications to assist patients and healthcare professionals in managing dietary restrictions and monitoring nutritional intake. By extracting nutrition data from patient-generated text inputs such as food journals or meal plans, the API facilitates personalized dietary recommendations and adherence monitoring.

  5. Fitness and Wellness Platforms: Incorporate the API into fitness and wellness platforms to provide users with real-time feedback on the nutritional content of their meals. By analyzing text inputs such as meal descriptions or ingredient lists, the platform can offer insights into the nutritional balance of users' diets and suggest adjustments to support their fitness goals.

 

 

Are there any limitations to your plans?

Besides the number of API calls, there is no other limitation.

API Documentation

Endpoints


Returns a list of nutrition information extracted from given text. Nutrition data for each food item is scaled to 100g unless a quantity is specified within the query parameter.



                                                                            
GET https://zylalabs.com/api/4249/nutrition+data+from+text+api/5180/facts
                                                                            
                                                                        

Facts - Endpoint Features
Object Description
query [Required] query text to extract nutrition information.
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            [{"name": "brisket", "calories": 1312.3, "serving_size_g": 453.592, "fat_total_g": 82.9, "fat_saturated_g": 33.2, "protein_g": 132.0, "sodium_mg": 217, "potassium_mg": 781, "cholesterol_mg": 487, "carbohydrates_total_g": 0.0, "fiber_g": 0.0, "sugar_g": 0.0}, {"name": "fries", "calories": 317.7, "serving_size_g": 100.0, "fat_total_g": 14.8, "fat_saturated_g": 2.3, "protein_g": 3.4, "sodium_mg": 212, "potassium_mg": 124, "cholesterol_mg": 0, "carbohydrates_total_g": 41.1, "fiber_g": 3.8, "sugar_g": 0.3}]
                                                                                                                                                                                                                    
                                                                                                    

Facts - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/4249/nutrition+data+from+text+api/5180/facts?query=1lb brisket and fries' --header 'Authorization: Bearer YOUR_API_KEY' 

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Nutrition Data from Text API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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The Nutrition Data from Text API is a service that utilizes natural language processing (NLP) techniques to extract detailed nutrition information from textual inputs such as food descriptions, recipes, or menus.

The API employs advanced NLP algorithms to parse and analyze textual inputs, identifying key information related to food items, quantities, and ingredients. It then maps this information to a comprehensive nutrition database to generate accurate nutrition profiles.

The API is capable of processing a wide range of text inputs, including but not limited to food blogs, recipes, menu descriptions, ingredient lists, and dietary journals.

The API aims to provide highly accurate nutrition data by leveraging a robust nutrition database and sophisticated parsing algorithms. However, the accuracy may vary depending on the quality and specificity of the input text.

Yes, the API includes an intelligent feature for custom portioning. It automatically scales the extracted nutrition data based on specified quantities of individual food items or ingredients within the text.

Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.

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 Service Level
100%
 Response Time
526ms

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