misc

Detect Food in Text

Take any text and find all mentions of food contained within it. This task is also called Named Entity Recognition (NER). In this case, the entities are foods. Either dishes, such as pizza or cheeseburger, or ingredients, such as cucumber or almonds.

post/food/detect

Request

Base URL
https://api.spoonacular.com
Auth
API key in header x-api-key
TypeScript
https://skmtc.dev/spoonacular/apis/spoonacular-api/docs/food/detect/post.ts
A function with typed inputs. Its response is checked against the schema.

Headers

Content-Type'application/x-www-form-urlencoded' | 'application/json' | 'multipart/form-data'

Example:application/json

The content type.

Request body application/x-www-form-urlencoded

string required

Response

Success

Changes

No recorded changes to this operation across all 1 revision of this API.