Offensive Speech Filter API

Offensive Speech Filter API

The Offensive Speech Filter API acts as a linguistic guardian for content moderation, automating the identification and filtration of offensive language within textual content.

API description

About the API:  

The Offensive Speech Filter API marks a pivotal advancement in content moderation technology, furnishing users with a refined solution for automatically identifying and filtering offensive language within textual content. In today's digital sphere, where user-generated content proliferates across diverse platforms, the imperative to uphold a civilized and secure online environment has never been more pronounced. Seamlessly addressing this imperative, the Offensive Speech Filter API furnishes an automated mechanism to detect and address instances of profanity, thereby ensuring that online spaces remain conducive to positive interactions and user experiences.

At its core, the Offensive Speech Filter API operates as a linguistic gatekeeper, meticulously examining text inputs to discern the presence of offensive language. Its objective is to pinpoint and flag instances of profanity, encompassing explicit terms as well as creatively veiled or context-dependent variations. This meticulous scrutiny underscores a comprehensive and nuanced approach to content moderation, acknowledging that profanity can manifest in myriad forms and expressions.

Distinguished by its contextual analysis capability, the Offensive Speech Filter API transcends simplistic word matching methods by considering the context in which words are employed. This contextual awareness empowers the API to differentiate between innocuous usage and contributions to offensive content, thereby mitigating the risk of generating false positives and enhancing the accuracy of profanity detection.

Through seamless integration with moderation systems and content management platforms, the Offensive Speech Filter API seamlessly integrates into existing workflows. This integration streamlines the content moderation process, enabling users to maintain a controlled and respectful online environment with minimal disruption to established systems.

In summation, the Offensive Speech Filter API emerges as an indispensable tool for users committed to cultivating online spaces that nurture positive user interactions and experiences. With its sophisticated profanity detection mechanisms, customizable options, and seamless integration capabilities, the API significantly advances endeavors to uphold respectful and inclusive digital communication environments.

 

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 Comments: Employ the Offensive Speech Filter API to automatically moderate and filter offensive language in user comments on social media platforms.

    Chat Applications: Integrate the API into chat applications to ensure a clean and respectful communication environment by filtering profanity in real-time messages.

    Content Creation Platforms: Embed the API in platforms where users generate content to automatically filter and moderate offensive language in posts, articles, or creative works.

    Community Forums: Utilize the API for content moderation in community forums, preventing the dissemination of profanity in discussions and maintaining a positive atmosphere.

    Gaming Communities: Implement the API in gaming communities to filter profanity in in-game chats and user-generated content, fostering a respectful gaming environment.

     

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/3918/offensive+speech+filter+api/4637/filter+text
                                                                            
                                                                        

Filter text - Endpoint Features
Object Description
text [Required] Indicate a text
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"original": "shit", "censored": "****", "has_profanity": true}
                                                                                                                                                                                                                    
                                                                                                    

Filter text - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/3918/offensive+speech+filter+api/4637/filter+text?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 Offensive Speech Filter 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.


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The Offensive Speech Filter API is a tool designed to automatically identify, detect, and filter out offensive language or expletives within textual content, ensuring a cleaner and more respectful communication environment.

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.

To use this API, users must specify a text to detect and filter inappropriate words.

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 Service Level
100%
 Response Time
212ms

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