Profanity Filter API - 25 Languages

API ID 14226

Detect and censor profanity in user generated text in 25+ languages, with leetspeak detection, custom blocked words and an allow list.

1,149 ms avg response

API Documentation

Endpoints

Request
Check and censor text. Detect and censor profanity and offensive words in user-generated text. Supports 25+ languages (English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Japanese and more), leetspeak (sh1t, @ss), custom blocked words and an allow-list for false positives.
Endpoint ID: 35306
GET https://zylalabs.com/api/14226/profanity+filter+api+-+25+languages/35306/check+and+censor+text
INPUT PARAMETERS

Check and censor text — Endpoint Features

Object Description
text Required Text to check (or POST it as the body)
lang Optional Comma-separated language codes (en, es, fr, de, it, pt, nl, ru, ja...)
fill Optional Character used to censor
add Optional Extra words to block, comma-separated
allow Optional Words to never flag, comma-separated
leet Optional Detect leetspeak (true/false)

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

text
lang
fill
add
allow
leet
API EXAMPLE RESPONSE
JSON
{
    "isProfane": true,
    "count": 1,
    "matches": [
        {
            "word": "sh1t",
            "index": 22
        }
    ],
    "censored": "What the f*** is this ****",
    "languages": [
        "en"
    ],
    "attribution": "Word lists: List of Dirty, Naughty, Obscene, and Otherwise Bad Words (Shutterstock), CC BY 4.0"
}
Check and censor text — CODE SNIPPETS

curl --location --request GET 'https://zylalabs.com/api/14226/profanity+filter+api+-+25+languages/35306/check+and+censor+text?text=What the f*** is this sh1t&lang=en&fill=*&leet=true' --header 'Authorization: Bearer YOUR_API_KEY' 


    
Request
Check and censor text (POST text body). Detect and censor profanity and offensive words in user-generated text. Supports 25+ languages (English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Japanese and more), leetspeak (sh1t, @ss), custom blocked words and an allow-list for false positives.
Endpoint ID: 35307
POST https://zylalabs.com/api/14226/profanity+filter+api+-+25+languages/35307/check+and+censor+text+post+text+body
INPUT PARAMETERS

Check and censor text POST text body — Endpoint Features

Object Description
lang Optional Comma-separated language codes (en, es, fr, de, it, pt, nl, ru, ja...)
fill Optional Character used to censor
add Optional Extra words to block, comma-separated
allow Optional Words to never flag, comma-separated
leet Optional Detect leetspeak (true/false)
Request Body Required Json

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

lang
fill
add
allow
leet
API EXAMPLE RESPONSE
JSON
{
    "isProfane": true,
    "count": 1,
    "matches": [
        {
            "word": "piece of sh1t",
            "index": 17
        }
    ],
    "censored": "You are a stupid ***** ** ****",
    "languages": [
        "en"
    ],
    "attribution": "Word lists: List of Dirty, Naughty, Obscene, and Otherwise Bad Words (Shutterstock), CC BY 4.0"
}
Check and censor text POST text body — CODE SNIPPETS

curl --location --request POST 'https://zylalabs.com/api/14226/profanity+filter+api+-+25+languages/35307/check+and+censor+text+post+text+body?lang=en&fill=*&leet=true' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw 'You are a stupid piece of sh1t'

    

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 Filter API - 25 Languages 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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Starts at
$10,000/Year


  • Custom Volume
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  • Specialized Customer Support
  • Real-Time API Monitoring

Overview

Detect and censor profanity in user generated text in 25+ languages, with leetspeak detection, custom blocked words and an allow list.

Profanity Filter API - 25 Languages FAQs

Each endpoint returns a JSON object containing information about detected profanity in the input text. This includes whether the text is profane, the count of profane words, the specific matches found, the censored version of the text, and the languages detected.

Key fields in the response include "isProfane" (boolean), "count" (number of profane words), "matches" (array of detected words with their indices), "censored" (censored text), "languages" (detected languages), and "attribution" (source of word lists).

The endpoints accept text input as a query parameter for GET requests or in the body for POST requests. Users can customize their requests by including custom blocked words and an allow-list to manage false positives.

The response data is structured as a JSON object. It includes a boolean indicating profanity detection, a count of matches, an array of matched words with their positions, the censored text, and the languages identified, making it easy to parse and utilize.

The profanity detection relies on curated word lists, specifically the "List of Dirty, Naughty, Obscene, and Otherwise Bad Words" from Shutterstock, which is licensed under CC BY 4.0, ensuring a reliable source for profanity detection.

Typical use cases include moderating user-generated content on forums, chat applications, and social media platforms, ensuring compliance with community guidelines, and enhancing user experience by filtering offensive language.

Users can utilize the returned data by checking the "isProfane" field to determine if action is needed. The "censored" field can be used to display a sanitized version of the text, while "matches" can help identify specific words for further moderation or user feedback.

If the response indicates "isProfane" is false or the "matches" array is empty, it means no profanity was detected. Users can handle this by allowing the text to be displayed as is, or by implementing additional checks if needed for context-specific filtering.

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