Identify document color state using AI

Below is a free classifier to identify document color state. Just upload your image, and our AI will predict the color state of a document - in just seconds.

document color state identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("document-color-state", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/document-color-state/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/document-color-state/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the color state of a document.

This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Black And White, Color, Cool Tones, Dark Color, Duotone, Grayscale, Light Color, Monochrome, Muted Color and Natural Color.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the color state of a document).

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

Need to identify document color state at scale?

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



  • Document Quality Control: This function can be used in printing and publishing industries to assess the color state of documents before they are finalized. By identifying discrepancies in expected colors, companies can ensure higher quality standards and reduce waste from misprints.

  • Legal Document Verification: Law firms can utilize the document color state identifier to verify the authenticity of legal documents, ensuring that original documents are distinguishable from copies. This helps maintain integrity in legal proceedings and reduces the risk of fraud.

  • Healthcare Record Management: Hospitals and clinics can implement this function to manage and classify patient records based on their color state. This aids in quickly identifying vital documents, improving efficiency in patient care and streamlining administrative workflows.

  • Preservation of Historical Documents: Archives and libraries can leverage the color state identifier to maintain the integrity of historical documents. By detecting color degradation, curators can take preventive measures for restoration before documents are further damaged.

  • Marketing Material Consistency: Marketing departments can use this function to ensure that promotional materials maintain consistent color schemes across various formats. By evaluating documents’ color states, they can uphold brand integrity and increase consumer recognition.

  • Fraud Detection in Financial Documents: Financial institutions can employ the identifier to flag potentially altered documents by comparing current color states against archived originals. This reduces the risk of fraud and enhances the overall security of financial transactions.

  • Educational Material Validation: Schools and universities can use the document color state identifier to validate the authenticity of educational materials or certificates. This helps in maintaining academic integrity while assuring students and employers of the validity of qualifications.

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