Identify if document is signed using AI

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

if document is signed identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-document-is-signed", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-document-is-signed/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/if-document-is-signed/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the document is signed.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Signed and Unsigned.

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

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

Need to identify if document is signed at scale?

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



  • Contract Management: Automate the verification of signed contracts within a document management system. This significantly reduces manual effort by quickly identifying which contracts require further actions and ensuring compliance with contractual obligations.

  • Loan Processing: Streamline the loan approval process by automatically detecting signed loan agreements. By ensuring that all necessary documents are signed, financial institutions can accelerate processing times and reduce the risk of incomplete applications.

  • Legal Document Review: Enhance the efficiency of legal professionals by providing an automatic check for signatures in legal documents. This allows lawyers to focus their time on substantive issues rather than the verification of document completeness.

  • Client Onboarding: Simplify the client onboarding process in service-based industries by verifying the signatures on necessary forms. A quick identification of signed documents ensures that legal and compliance requirements are met before initiating services.

  • Insurance Claims Processing: Improve customer satisfaction by quickly identifying whether insurance claim forms are signed. This allows claims adjusters to promptly process valid claims, leading to faster payouts and better customer experiences.

  • Medical Records Handling: Facilitate the compliance and accuracy of medical records by ensuring that patient consent forms are signed. This helps healthcare providers maintain adherence to regulations and protects patient rights.

  • Real Estate Transactions: Optimize the closing process in real estate by confirming that all necessary documents have been signed. This reduces the chances of delays in property transfers and enhances the overall transaction experience for buyers and sellers.

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