Identify if a text contains a link using AI

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

if a text contains a link identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-a-text-contains-a-link", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-a-text-contains-a-link/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-a-text-contains-a-link/invoke
                

How this classifier works

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

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Link and Does Not Contain Link.

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

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

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Need to identify if a text contains a link at scale?

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



  • URL Detection in Customer Feedback: Businesses can analyze customer feedback collected through surveys or social media comments to determine if customers include links. This helps in identifying if customers are referencing external resources or sharing opinions on additional products, allowing for more informed and targeted responses.

  • Safeguarding Against Phishing Attacks: Organizations can implement link detection in employee communications to enhance cybersecurity measures. By flagging messages that contain links, security teams can better assess the risk of phishing attempts and provide training to employees on how to identify malicious links.

  • Content Moderation on Social Media: Social media platforms can utilize link detection to monitor posts and comments for potentially harmful links. This enables automatic flagging of spam or inappropriate content, ensuring a safer environment for users and maintaining the platform's integrity.

  • Affiliate Marketing Optimization: E-commerce businesses can analyze user-generated content and promotional materials for the presence of links that direct traffic to affiliate pages. By identifying these links, companies can assess the effectiveness of their affiliate marketing strategies and optimize campaigns accordingly.

  • Research and Resource Compilation: Academic institutions and research organizations can use link detection to evaluate the integrity of research proposals and academic papers. Identifying the presence of references and external links helps in assessing the credibility of the submitted documents and enhances the quality of academic output.

  • SEO Performance Monitoring: Digital marketing teams can employ link detection to analyze website content and its relevance to search engine optimization (SEO) strategies. By identifying links within texts, marketers can track interlinking patterns and the use of backlinks to improve online visibility and search rankings.

  • Lead Generation Tracking: Companies can include link detection in their email marketing campaigns to monitor responses and engagement. By analyzing whether recipients click on links within email content, businesses can measure the effectiveness of their lead generation efforts and adjust strategies for better conversion rates.

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