Expletive Detection API

API ID 3030

The Expletive Detection API safeguards digital platforms by accurately identifying and filtering offensive language, ensuring a positive and respectful user experience.

100% uptime 255 ms avg response

API Documentation

Endpoints

Request

To use this endpoint you must enter a text in the parameter.

Endpoint ID: 3202
GET https://zylalabs.com/api/3030/expletive+detection+api/3202/detector
INPUT PARAMETERS

Detector — Endpoint Features

Object Description
text Required

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

text
API EXAMPLE RESPONSE
JSON
{"original": "shit", "censored": "****", "has_profanity": true}
Detector — CODE SNIPPETS

curl --location --request GET 'https://zylalabs.com/api/3030/expletive+detection+api/3202/detector?text=shit' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Expletive Detection API simply include your bearer token in the Authorization header.

Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Minimum annual contract: USD 10,000

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Overview

About the API:  

The Expletive Detection API is an indispensable tool designed to enhance the content moderation capabilities of applications, platforms and websites by automatically identifying and filtering offensive language and inappropriate content. This API acts as a robust safeguard, ensuring that user-generated text adheres to community standards, maintaining a positive and respectful digital environment.

In essence, the profanity filtering API works by analyzing the text entered and detecting the presence of profanity, hate speech or any content that violates predefined linguistic guidelines. This process involves a combination of linguistic analysis, pattern recognition and contextual understanding to accurately identify and flag instances of inappropriate language.

Real-time processing is a key aspect of the Expletive Detection API. The ability to analyze and filter text content in real time is crucial for applications involving live chat, instant messaging or dynamic content generation. This ensures that offensive language is identified and addressed immediately, contributing to a fast and responsive moderation mechanism.

Seamless integration of the Expletive Detection API into existing applications is facilitated by its well-documented endpoint and compatibility with popular programming languages. This ease of integration streamlines the implementation process, allowing developers to quickly deploy the profanity filter and enhance the content moderation capabilities of their platforms.

In summary, the Expletive Detection API is an essential tool for applications and platforms looking to maintain a high level of content moderation. This API enables platform users to effectively filter out inappropriate language, ensuring a positive and respectful digital space for users. Its ease of integration and ability to adapt to various content moderation needs make it a valuable asset for any online platform committed to fostering a respectful and inclusive online community.

 

What this API receives and what your API provides (input/output)?

It will receive parameters and provide you with a JSON.

 

What are the most common uses cases of this API?

  1. Social Media Moderation: Integrate the Expletive Detection API to automatically moderate and filter offensive language in comments, posts, and user interactions on social media platforms.

  2. Enhance chat applications by implementing real-time profanity filtering, ensuring a positive and respectful communication environment.

  3. Online Forums and Communities: Use the API to moderate discussions on forums and community websites, preventing the use of offensive language and maintaining a civil discourse.

  4. Gaming Platforms: Integrate the Expletive Detection API in online gaming platforms to moderate in-game chat, ensuring a pleasant gaming experience for players.

  5. E-learning Platforms: Apply profanity filtering in discussion forums and chat features of e-learning platforms to create a respectful and focused learning environment.

Are there any limitations to your plans?

Besides the number of API calls, there is no other limitation

Expletive Detection API FAQs

To use this API the user must specify a text to filter profanity.

The Expletive Detection API is a powerful tool designed to automatically identify and filter out offensive language, including profanity and inappropriate content, from text input.

Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.

There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent abuse of the service.

The GET Detector endpoint returns a JSON object containing the original text, a censored version of the text with profanity replaced by asterisks, and a boolean indicating whether profanity was detected.

The key fields in the response data are "original" (the input text), "censored" (the filtered text), and "has_profanity" (a boolean indicating the presence of offensive language).

The response data is structured as a JSON object with three fields: "original," "censored," and "has_profanity," allowing for easy parsing and utilization in applications.

The primary parameter for the GET Detector endpoint is "text," which should contain the user-generated content to be analyzed for offensive language.

Users can customize their requests by varying the input text parameter to analyze different strings for profanity, allowing for flexible content moderation across various contexts.

Typical use cases include moderating comments on social media, filtering chat messages in gaming platforms, and ensuring respectful discourse in online forums and e-learning environments.

Data accuracy is maintained through a combination of linguistic analysis, pattern recognition, and contextual understanding, ensuring reliable identification of offensive language.

If the input text is empty, the API will return a response indicating no profanity detected. Users should implement checks to handle such cases gracefully in their applications.

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