Inappropriate Content Detector API

Inappropriate Content Detector API: Real-time, customizable profanity detection for content moderation. Enhance online spaces with a positive and inclusive environment.

About the API:  

In the dynamic and diverse online content landscape, maintaining a positive and respectful user experience is crucial for platforms, companies and communities. The Inappropriate Content Detector API emerges as an essential tool, equipped with advanced algorithms to automatically detect and filter offensive language, hate speech and inappropriate content. This API is a powerful content moderation solution, ensuring that digital spaces remain inclusive, safe and conducive to positive interactions.

The Inappropriate Content Detector API employs a comprehensive profanity dictionary and sophisticated algorithms to detect a wide range of offensive words, phrases and content. This includes not only explicit profanity, but also hate speech and other forms of inappropriate language.

Operating in real time, the API ensures instant content moderation, making it suitable for chat applications, social networking platforms, forums and any digital space where user-generated content is prevalent.

Integration into existing platforms is straightforward, as full and seamless documentation is provided. Users can seamlessly incorporate the profanity filter into their applications and services, enhancing content moderation capabilities.

The Inappropriate Content Detector API plays a crucial role in fostering positive online interactions by automatically detecting and filtering offensive words.

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: Employ the Inappropriate Content Detector API to automatically moderate comments, posts, and messages on social media platforms, ensuring a respectful online environment.

    Chat Applications: Integrate the API into chat applications to filter out offensive language in real-time, fostering a positive and safe space for users to communicate.

    Gaming Communities: Enhance gaming communities by implementing the profanity filter to moderate in-game chat, ensuring a respectful and enjoyable gaming experience for all players.

    E-learning Platforms: Maintain a positive and respectful learning environment by filtering inappropriate language in discussions, forums, and comments on e-learning platforms.

    Community Forums: Ensure constructive discussions in online forums by using the API to filter out profanity and discourage the spread of offensive language and hate speech.

 

Are there any limitations to your plans?

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

API Documentation

Endpoints


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



                                                                            
GET https://zylalabs.com/api/2924/inappropriate+content+detector+api/6110/filter+words
                                                                            
                                                                        

Filter Words - Endpoint Features

Object Description
text [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"original": "damn it", "censored": "**** it", "has_profanity": true}
                                                                                                                                                                                                                    
                                                                                                    

Filter Words - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/2924/inappropriate+content+detector+api/6110/filter+words?text=damn it' --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 Inappropriate Content Detector API REST 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.

Simple Transparent Pricing

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πŸš€ Enterprise

Starts at
$ 10,000/Year


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To use this API the user must indicate a text, he will receive the words to be censored in a censored form.

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.

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.

The Inappropriate Content Detector API is an advanced tool designed to automatically identify and filter out inappropriate or offensive content within digital platforms.

Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.

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Yes, you can cancel your plan anytime by going to your account and selecting the cancellation option on the Billing page. Please note that upgrades, downgrades, and cancellations take effect immediately. Additionally, upon cancellation, you will no longer have access to the service, even if you have remaining calls left in your quota.

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 Service Level
100%
 Response Time
130ms

Category:

NLP

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