Identify signature presence using AI

Below is a free classifier to identify signature presence. Just upload your image, and our AI will predict if a signature is present - in just seconds.

signature presence identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("signature-presence", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/signature-presence/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/signature-presence/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if a signature is present.

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 a signature is present).

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

Need to identify signature presence at scale?

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



  • Document Verification: This function can be employed by financial institutions to verify the authenticity of signed documents. By identifying the presence of a signature, the system can ensure that necessary approvals are in place, reducing the risk of fraud.

  • E-signature Validation: Companies that utilize electronic signatures can implement this classification function to validate the presence of required signatures in electronic documents. This ensures that all necessary approvals are present before processing contracts or agreements.

  • Compliance Auditing: Regulatory bodies can use this function to automate the process of checking documents for required signatures during compliance audits. By flagging documents missing signatures, it helps organizations maintain compliance with legal standards.

  • Contract Management: Organizations can integrate the signature presence identifier in their contract management systems to quickly assess signed agreements. This aids in tracking obligations and renewals by confirming whether critical signatures are present on relevant contracts.

  • Human Resources Onboarding: During the onboarding process, HR departments can utilize this function to ensure all employment contracts and policy documents are properly signed by new hires. This minimizes the chances of disputes related to unsigned documents in the future.

  • Customer Service Automation: Customer service applications can leverage this signature presence identifier to streamline the validation process when handling service requests requiring customers’ signatures. This capability enhances efficiency by quickly identifying missing signatures, reducing back-and-forth communications.

  • Insurance Claims Processing: Insurance companies can apply this function to verify the presence of signatures on claim forms. By ensuring that all documents are signed, companies can expedite the claims process and minimize delays due to paperwork issues.

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