Identify accessibility features using AI

Below is a free classifier to identify accessibility features. Just input your text, and our AI will predict if it has accessibility features - in just seconds.

accessibility features identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("accessibility-features", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/accessibility-features/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/accessibility-features/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if it has accessibility features.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Visual Aids and Wheelchair Access.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it has accessibility features).

Whether you're just curious or building accessibility features detection into your application, we hope our classifier proves helpful.

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Need to identify accessibility features at scale?

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



  • Accessibility Content Review: This function can be utilized by content moderation teams to automatically identify and classify accessibility features within digital content. This ensures that all materials are compliant with accessibility standards, improving the user experience for individuals with disabilities.

  • Website Compliance Audits: Businesses can integrate this text classification function into their website audit processes to verify the presence of accessibility features. This proactive approach helps in identifying gaps in compliance with regulations such as the WCAG guidelines, thereby mitigating legal risks.

  • E-Learning Platform Enhancement: Educational platforms can leverage this identifier to curate and promote accessible learning resources. By automatically tagging content with accessibility features, platforms can ensure inclusivity and cater to a diverse student population.

  • Product Development Insights: Companies developing products or services can apply this function during testing phases to evaluate the accessibility features described in user feedback and documentation. This assists in refining products that better serve all user groups, especially those with disabilities.

  • Marketing and Promotion: Marketers can use the accessibility features identifier to highlight specific accessible attributes of their products or services in promotional materials. By showcasing these features, they can appeal to a broader audience, including those prioritizing inclusivity.

  • User Experience Improvement: Organizations can implement this function in user experience (UX) research to analyze user-generated content for mentions of accessibility features. Insights gained can guide UX improvements, ensuring that digital platforms are user-friendly for all individuals.

  • Customer Support Resource Development: Customer service teams can utilize the identifier to categorize inquiries related to accessibility features. By understanding the common questions and issues faced by users, companies can enhance their support resources and provide better assistance to customers with disabilities.

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