---
title: AI Text Entity Recognition API
slug: recognize-entities-in-text
url: https://apyverse.com/apyhub/service/recognize-entities-in-text
provider: ApyHub
categories: [Artificial Intelligence]
tags: [entity-extraction, named-entity-recognition, nlp, text-analysis, information-extraction]
auth: api_key
---

# AI Text Entity Recognition API

Extract named entities from text with ApyHub, Google, or Azure. Send text plus optional credentials and receive provider-specific entity analysis.

## Endpoints

| Method | Path | Description | Atoms |
| --- | --- | --- | --- |
| POST | `ai/text/entity/recognition` | What it does Recognizes entities in the provided text and returns a JSON object containing provider… | 500 |

## About

## What it does
Entity Recognition identifies named entities in text and returns the detected results through the provider you select: ApyHub, Google, or Azure. Send a text string, optionally include provider-specific credentials, and get entity analysis back in a structured response.

Use it when you need to extract people, organisations, places, or other referenced entities from user content, notes, support tickets, or documents that have already been converted to text. The request body accepts `text`, `encoding`, `language`, `requested_service`, and optional `azure` or `google` credential objects. That makes it easy to route the same input through your preferred NLP stack without changing your integration shape.

The response contains a `data` object with a service-specific object for `azure`, `apyhub`, or `google`, depending on which provider you request. Because the output is provider-specific, you can plug the result into downstream classification, enrichment, search indexing, or content analysis workflows without guessing at the schema.

Entity Recognition fits pipelines that need lightweight NLP around plain text: enrich CRM notes, detect mentions in article archives, or pre-process incoming messages before storage and routing.

## Usage

Authenticate with an ApyHub API key in the `apy-token` header.
Full docs and a live playground: https://apyverse.com/apyhub/service/recognize-entities-in-text