The Ingredients Parser API returns structured data in JSON format, including parsed ingredient lists. Each ingredient entry contains details such as quantity, unit, name, size, and any additional comments related to preparation.

Key fields in the response data include "input" (original ingredient text), "quantity" (amount), "unit" (measurement unit), "name" (ingredient name), "size" (size descriptor), and "comments" (preparation notes).

The response data is organized as a JSON object with two main sections: "ingredients," which is an array of individual ingredient objects, and "error," which provides error details if applicable. Each ingredient object contains specific fields for easy access.

The API provides information on ingredient names, quantities, units of measurement, sizes, and preparation comments. It also identifies allergens based on the extracted ingredient lists, enhancing food safety for users.

Users can customize their requests by providing different ingredient strings to the API. The API automatically parses the input and returns structured data, allowing flexibility in the types of ingredient lists processed.

Typical use cases include integrating the API into recipe apps to display ingredient lists, nutrition tracking apps for analyzing food labels, and allergen detection apps to help users avoid harmful ingredients based on their allergies.

Data accuracy is maintained through a robust parsing algorithm that utilizes machine learning techniques. Continuous updates and improvements to the algorithm help ensure high-quality extraction of ingredient information from diverse sources.

Standard data patterns include variations in ingredient formats, such as quantities with ranges (e.g., "3 to 4 tbsp") and descriptors (e.g., "large Granny Smith apples"). The API effectively handles these variations to provide structured outputs.

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