Identify if document contains profanity using AI

Below is a free classifier to identify if document contains profanity. Just input your text, and our AI will predict if the document contains profanity - in just seconds.

if document contains profanity identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-document-contains-profanity", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-document-contains-profanity/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_text_here"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_text_here"}' \
        https://www.nyckel.com/v1/functions/if-document-contains-profanity/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the document contains profanity.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Clean and Contains Profanity.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the document contains profanity).

Whether you're just curious or building if document contains profanity detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify if document contains profanity at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Content Moderation for Social Media: Implementing a profanity filter can help social media platforms moderate user-generated content. By identifying and flagging posts that contain inappropriate language, platforms can maintain a healthier online environment and adhere to community guidelines.

  • Customer Support Email Filtering: Businesses can use profanity detection in customer support emails to prioritize responses. Emails with profanity may indicate frustrated customers, prompting quicker resolutions to improve customer satisfaction.

  • Advertising Compliance: Companies can ensure their marketing materials comply with advertising standards by analyzing content for profanity. This helps avoid potential legal repercussions and maintain brand reputation while reaching target audiences.

  • Forum and Community Management: Online forums can use profanity identification to automatically flag or remove offensive posts. This fosters a respectful community atmosphere and encourages positive interactions among users.

  • Gaming Platforms Content Moderation: Online gaming platforms can employ profanity filters to monitor in-game chat for inappropriate language. This enhances player experience and keeps the gaming environment enjoyable for all participants.

  • E-Learning Course Validation: Educational platforms can scan course content or student submissions for profanity to ensure appropriateness. This can help maintain a professional learning environment and uphold institutional values.

  • Text Analytics for Market Research: Companies conducting sentiment analysis on customer feedback can benefit from profanity identification. By excluding profane comments, businesses can refine their understanding of overall sentiment and improve decision-making.

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