Profanity Block API

The Profanity Block API identifies and filters inappropriate language, promoting respectful communication across different online platforms and applications.

About the API:  

The Profanity Block API is a robust solution designed to analyze text input and identify instances of offensive or inappropriate language. Using state-of-the-art algorithms and an extensive library of profanity words and phrases, the API can accurately detect and filter offensive content in real time.

Essentially, the Profanity Block API scans submitted text for matches against predefined lists of offensive terms and expressions, ensuring that harmful language is filtered out.

In an online world where interactions significantly influence social, professional and personal relationships, the Profanity Block API is an essential tool for promoting positive and respectful communication. By leveraging its advanced features, businesses, developers and online communities can create safer, more inclusive environments where people can interact without encountering inappropriate content. With its accurate profanity detection, real-time processing and seamless integration capabilities, the Profanity Block API helps build online spaces based on mutual respect, professionalism and civility.

 

API Documentation

Endpoints


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



                                                                            
GET https://zylalabs.com/api/5562/profanity+block+api/7205/filter+words
                                                                            
                                                                        

Filter words - Endpoint Features

Object Description
check_word [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"total_words_checked":1,"checked_word":"damn","contains_offensive_word":true,"censor_replacement_string":"*","filtering_range":"low","profanities":["damn"],"total_using_low":1,"word_filtered":"da*n"}
                                                                                                                                                                                                                    
                                                                                                    

Filter words - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/5562/profanity+block+api/7205/filter+words?check_word=damn' --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 Profanity Block 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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To use the API you must specify a text to filter out inappropriate words.

Profanity Block API designed to control and filter offensive language in text-based communications, ensuring a safe and respectful 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.

The Profanity Block API is a robust tool designed to monitor and filter offensive language in text-based communications. You would need it to ensure a safe and respectful online environment for your users or customers.

The API uses API keys for authentication. To access the API, include your API key in the request header. The API key is provided upon registration and should be kept secure.

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 Service Level
100%
 Response Time
7,635ms

Category:


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