API Layer vs Zyla API Hub: Food & Nutrition API Comparison

Food Nutrition Information API

Food Nutrition Information API is a vital resource for developers looking to integrate nutritional data into their applications. This API allows users to search for foods and retrieve detailed nutritional information, including calorie count, protein, fat, and carbohydrate content.

Key Features and Capabilities

Search Food By Keyword

{
  "totalHits": 6846,
  "currentPage": 1,
  "totalPages": 1370,
  "foods": [
    {
      "fdcId": 1799988,
      "description": "BACON",
      "dataType": "Branded",
      "ingredients": "BACON CURED WITH: WATER, SALT, SUGAR, SODIUM PHOSPHATE, SODIUM ERYTHORBATE, SODIUM NITRITE."
    }
  ]
}

Search Food By ID

{
  "fdcId": 1970473,
  "description": "MILK",
  "foodNutrients": [
    {
      "nutrient": {
        "name": "Total lipid (fat)",
        "unitName": "g"
      },
      "amount": 3.75
    }
  ]
}

Frequently Asked Questions

Q: What are typical use cases for this data?
A: Typical use cases include meal planning, diet tracking, and restaurant menu analysis. Users can leverage the API to create personalized nutrition plans or analyze the nutritional content of various foods.

Q: How is data accuracy maintained?
A: Data accuracy is maintained through regular updates and sourcing from reliable databases, ensuring that users have access to the most current information.

Read our technical guides for implementation tips.

Food Text Analysis API

Food Text Analysis API utilizes Natural Language Processing (NLP) to analyze and understand the nutritional content of food items described in text form. This API is particularly useful for applications that need to extract nutritional information from unstructured text, such as ingredient lists or recipes.

Key Features and Capabilities

Food Analysis

{
  "calories": 122,
  "dietLabels": ["LOW_CARB", "LOW_SODIUM"],
  "healthLabels": ["VEGETARIAN", "KETO_FRIENDLY"],
  "totalNutrients": {
    "ENERC_KCAL": {
      "label": "Energy",
      "quantity": 122.98,
      "unit": "kcal"
    }
  }
}

Frequently Asked Questions

Q: How can users customize their data requests?
A: Users can customize their requests by providing specific text inputs that describe food items, allowing the API to tailor the nutritional analysis based on the context of the provided text.

Read our technical guides for implementation tips.

Nutritional Info from Text API

Nutritional Info from Text API is a powerful tool that allows users to extract food information from text and receive nutritional details such as calories, serving size, and sodium content. This API is ideal for food tracking apps and recipe analysis tools.

Key Features and Capabilities

Get Nutrition

[
  {
    "name": "orange juice",
    "calories": 112,
    "serving_size_g": 240,
    "fat_total_g": 0.3,
    "sodium_mg": 4
  }
]

Frequently Asked Questions

Q: What are typical use cases for this data?
A: Typical use cases include food tracking applications, recipe analysis, and meal planning tools.

Try the API playground to experiment with requests.

Ingredients Parser API

Ingredients Parser API allows developers to extract ingredient lists from any text, making it an essential tool for recipe apps and nutrition tracking platforms. This API can quickly and accurately identify and extract ingredient lists from various sources.

Key Features and Capabilities

Parser

{
  "ingredients": [
    {
      "name": "flour",
      "quantity": "2 cups"
    },
    {
      "name": "sugar",
      "quantity": "1 cup"
    }
  ]
}

Frequently Asked Questions

Q: How is data accuracy maintained?
A: Data accuracy is maintained through a robust parsing algorithm that utilizes machine learning techniques, ensuring high-quality extraction of ingredient information.

Try the API playground to experiment with requests.

Vegan Meal API

Vegan Meal API provides access to a vast collection of vegan recipes, making it easy for developers to integrate plant-based recipes into their applications. This API is designed for recipe-sharing platforms and meal planning applications.

Key Features and Capabilities

Get Vegan Foods

[
  {
    "id": "1",
    "title": "Dark chocolate bark with sea salt",
    "difficulty": "Easy"
  }
]

Get Vegan Foods ID

{
  "id": "2",
  "title": "Pressure cooker refried beans",
  "description": "Delicious and easy to make."
}

Frequently Asked Questions

Q: What are typical use cases for this data?
A: Typical use cases include creating recipe-sharing platforms, cooking tutorial apps, and meal planning applications.

Visit the developer docs for complete API reference.

Low Carb and Keto Recipes API

Low Carb and Keto Recipes API provides an extensive list of recipes tailored for low-carb and keto diets. This API is ideal for developers creating nutrition apps that recommend recipes based on dietary needs.

Key Features and Capabilities

Random Recipe

{
  "id": "3e2d06c4-4851-48b5-a12a-973937bd0311",
  "name": "Low Carb Avocado Pesto Noodles",
  "description": "Delicious and healthy."
}

Search Recipes

[
  {
    "id": "b5666639-d875-4e26-afed-899b26125b61",
    "name": "Keto Battered Fish",
    "description": "Delicious Keto battered fish."
  }
]

Frequently Asked Questions

Q: What are typical use cases for this data?
A: Typical use cases include integrating the API into nutrition apps, meal planning tools, or food blogs.

Check out the API documentation to get started.

Mexican Meal API

Mexican Meal API is a comprehensive resource for information about Mexican cuisine, providing developers with access to over 170 authentic recipes.

Key Features and Capabilities

Get All Mexican Foods

[
  {
    "id": "1",
    "title": "Pressure cooker refried beans",
    "difficulty": "Easy"
  }
]

Get Mexican Food ID

{
  "id": "4",
  "title": "Black bean and chicken burritos",
  "description": "Delicious and easy to make."
}

Frequently Asked Questions

Q: How is data accuracy maintained?
A: Data accuracy is maintained through careful curation of recipes and ingredients, ensuring that the information reflects authentic Mexican cuisine.

View the integration guide for step-by-step instructions.

Chef Generator API

Chef Generator API is a recipe generator tool that creates new recipes based on user inputs and preferences. This API is ideal for chefs, food bloggers, and culinary professionals looking to generate unique and creative recipes.

Key Features and Capabilities

Recipe Generator

{
  "recipeName": "Cheesy Potato Casserole",
  "ingredients": [
    "4 cups diced potatoes",
    "1/2 cup butter, melted"
  ],
  "instructions": [
    "Preheat oven to 350 degrees F.",
    "Combine potatoes, butter, and other ingredients."
  ]
}

Frequently Asked Questions

Q: How is data accuracy maintained in the Recipe Generator API?
A: Data accuracy is maintained through machine learning algorithms that analyze historical recipe data and user preferences.

Try the API playground to experiment with requests.

Comparison of Zyla API Hub vs Competitor

Food & Nutrition API Offerings

Developer Experience and Documentation

Reliability and Uptime

Conclusion