Identify if document is properly scanned using AI

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

if document is properly scanned identifier

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Get started

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Poor Scan and Proper Scan.

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

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

Need to identify if document is properly scanned at scale?

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



  • Document Quality Assurance: This use case involves utilizing the image classification function to assess the quality of scanned documents in real-time. By verifying if a document is properly scanned, organizations can reduce the number of re-scans, thus saving time and resources.

  • Automated Document Processing: By integrating the identifier into a document processing workflow, businesses can streamline their operations. Only properly scanned documents will be forwarded to the next processing stage, ensuring higher accuracy in data extraction and analysis.

  • Compliance and Auditing: Companies dealing with sensitive or regulated information can employ the classification function to ensure that all scanned documents meet compliance standards. This reduces the risk of retaining improperly scanned documents that could expose the organization to legal challenges.

  • Customer Support Automation: Customer service departments can use this identifier to automatically sort incoming document requests. Properly scanned documents can trigger automatic responses or actions, allowing for faster resolution of customer inquiries.

  • Digital Archiving: This function can enhance digital archiving systems by ensuring that only documents that meet quality standards are archived. By filtering out poor quality scans, organizations can maintain a cleaner and more reliable digital repository.

  • Image Enhancement Trigger: The image classification function can initiate automated image enhancement processes for documents that are not properly scanned. This ensures that any document requiring additional clarity or adjustments is promptly addressed before it enters further processing phases.

  • Workflow Optimization: By incorporating this identifier into existing workflows, businesses can identify bottlenecks caused by improper scanning. This insight allows teams to optimize their scanning processes, improving overall efficiency and document handling.

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