Identify highlighter placement using AI

Below is a free classifier to identify highlighter placement. Just upload your image, and our AI will predict the optimal placement of highlighters on a page - in just seconds.

highlighter placement identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("highlighter-placement", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/highlighter-placement/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_image_url"}
        )
    })
    .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_image_url"}' \
        https://www.nyckel.com/v1/functions/highlighter-placement/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the optimal placement of highlighters on a page.

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Artistic, Bold, Classic, Colorful, Defined, Diffused, Dramatic, Graphic, Intense and Layered.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the optimal placement of highlighters on a page).

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

Need to identify highlighter placement at scale?

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



  • Quality Control in Manufacturing: The highlighter placement identifier can be used in manufacturing settings to assess the accuracy of product assembly. By automatically detecting misplaced highlighters or indicators on products during production, companies can ensure consistent quality and reduce defects before the product reaches the market.

  • Document Review Automation: In document management systems, the highlighter placement identifier can enhance the review process by identifying incorrectly highlighted sections. This automation helps legal and compliance teams quickly eliminate errors in documents, ensuring that only relevant information is emphasized, thereby improving efficiency in document processing.

  • Educational Tool Evaluation: Educational institutions can utilize the function to evaluate how students annotate textbooks or digital materials. By analyzing the highlighter placement, teachers can gain insights into student engagement with materials and identify areas where additional instruction may be needed based on annotation patterns.

  • Marketing Material Assessment: Marketing teams can employ the highlighter placement identifier to evaluate how effectively key messages are emphasized in promotional materials. By analyzing the placement of highlighters in design drafts, teams can optimize layouts to increase conversion rates and improve message clarity.

  • Compliance Monitoring in Research: In research environments, the function can assist in monitoring document compliance by ensuring that necessary sections are highlighted as per guidelines. This helps researchers adhere to submission criteria, reduces misunderstandings, and streamlines the validation process when submitting papers for publication.

  • Content Curation in Publishing: Publishers can leverage the highlighter placement identifier to curate content by identifying key themes and topics highlighted in manuscripts or articles. This functionality allows editors to streamline the editorial process and ensure that critical content areas receive the attention they deserve.

  • User Experience Optimization in Software: Software developers can implement the highlighter placement identifier within user interface design to analyze how users interact with highlighted elements. By understanding how highlights attract attention, developers can refine interface designs to enhance user engagement and improve overall usability.

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