# NER

Named Entity Recognition (NER) is an NLP task used to identify important named entities in the text such as people, places, organizations, date, or any other category. (Recommend for short text content)

Endpoint: GET /text/nlp/ner
Version: 2025-08-18T18:01:56Z
Security: api_key

## Query parameters:

  - `lang` (string, required)
    The two letter language code
    Example: "en"

  - `text` (string, required)
    The text content with UTF-8 text representation
    Example: "Mark Zuckerberg is one of the founders of Facebook, a company from the United States"

## Response 200 fields (application/json):

  - `status` (object)
    response status

  - `status.success` (boolean)
    Response status

  - `status.code` (integer)
    Response status code

  - `result` (object)
    response body

  - `result.entities` (array)
    A list of recognized named entities

  - `result.entities.text` (string)
    Text content

  - `result.entities.score` (number)
    Confidence score

  - `result.entities.type` (string)
    Named Entity

  - `result.entities.begin` (integer)
    Starting position

  - `result.entities.end` (integer)
    Ending position