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Text Analytics Client

azure · Cloud

Cloud No Auth Free & Open cloud

The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions. Further documentation can be found in https://docs.microsoft.com/en

Authentication

No authentication requiredFree to use with no key needed.

Sample Requests

POST The API returns a list of recognized entities in a given document.

The API returns a list of recognized entities in a given document. To get even more information on each recognized entity we recommend using the Bing Entity Search API by querying for the recognized entities names. See the <a href="https://docs.microsoft.com/en-us/azure/cognitive-services/text-analy

https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/entities

Hover any highlighted part to learn what it does

curl -X POST "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/entities"
import requests
response = requests.post(
    "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/entities",
)
print(response.json())
const url = 'https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/entities';

const response = await fetch(url, {
  method: 'POST',
}); 
const data = await response.json();
console.log(data);
package main

import (
	"fmt"
	"io"
	"net/http"
)

func main() {
	targetURL := "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/entities"
	req, _ := http.NewRequest("POST", targetURL, nil)

	client := &http.Client{}
	resp, _ := client.Do(req)
	defer resp.Body.Close()
	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}
require "net/http"
require "json"

uri = URI("https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/entities")

http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"

req = Net::HTTP::Post.new(uri)

res = http.request(req)
puts JSON.parse(res.body)
<?php
$url = "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/entities";
$opts = ["http" => [
    "method" => "POST",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));
POST The API returns a list of strings denoting the key talking points in the input text.

See the Text Analytics Documentation for details about the languages that are supported by key phrase extraction.

https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/keyPhrases

Hover any highlighted part to learn what it does

curl -X POST "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/keyPhrases"
import requests
response = requests.post(
    "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/keyPhrases",
)
print(response.json())
const url = 'https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/keyPhrases';

const response = await fetch(url, {
  method: 'POST',
}); 
const data = await response.json();
console.log(data);
package main

import (
	"fmt"
	"io"
	"net/http"
)

func main() {
	targetURL := "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/keyPhrases"
	req, _ := http.NewRequest("POST", targetURL, nil)

	client := &http.Client{}
	resp, _ := client.Do(req)
	defer resp.Body.Close()
	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}
require "net/http"
require "json"

uri = URI("https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/keyPhrases")

http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"

req = Net::HTTP::Post.new(uri)

res = http.request(req)
puts JSON.parse(res.body)
<?php
$url = "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/keyPhrases";
$opts = ["http" => [
    "method" => "POST",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));
POST The API returns the detected language and a numeric score between 0 and 1.

Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120 languages are supported.

https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/languages

Hover any highlighted part to learn what it does

curl -X POST "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/languages"
import requests
response = requests.post(
    "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/languages",
)
print(response.json())
const url = 'https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/languages';

const response = await fetch(url, {
  method: 'POST',
}); 
const data = await response.json();
console.log(data);
package main

import (
	"fmt"
	"io"
	"net/http"
)

func main() {
	targetURL := "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/languages"
	req, _ := http.NewRequest("POST", targetURL, nil)

	client := &http.Client{}
	resp, _ := client.Do(req)
	defer resp.Body.Close()
	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}
require "net/http"
require "json"

uri = URI("https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/languages")

http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = uri.scheme == "https"

req = Net::HTTP::Post.new(uri)

res = http.request(req)
puts JSON.parse(res.body)
<?php
$url = "https://api.apis.guru/v2/specs/azure.com/cognitiveservices-TextAnalytics/v2.1-preview/languages";
$opts = ["http" => [
    "method" => "POST",
]];
$ctx = stream_context_create($opts);
$res = file_get_contents($url, false, $ctx);
print_r(json_decode($res, true));

Postman Setup Guide

Get Postman ↗
  1. See official documentation for authentication and setup.

What can you build with Text Analytics Client?

Text Analytics Client is a Cloud API. Developers commonly use cloud APIs for:

  • provisioning and managing cloud infrastructure
  • automating deployments and container orchestration
  • monitoring uptime and performance metrics
  • managing storage buckets and databases
  • setting up auto-scaling and load balancing

No authentication required. This API is open — no signup or key needed. Ideal for quick prototypes and public-facing features. Text Analytics Client is free to use, making it a low-risk choice to experiment with.

New to APIs? Read our beginner's guide · Learn about API keys · What is REST?

Open documentation ↗