Identify document number legibility using AI

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

document number legibility identifier

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Get started

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

    fetch('https://www.nyckel.com/v1/functions/document-number-legibility/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-number-legibility/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what the legibility of a document number is.

This pretrained image model uses a Nyckel-created dataset and has 7 labels, including Blurred, Clear, Difficult To Read, Fuzzy, Illegible, Partially Clear and Very Clear.

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

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

Need to identify document number legibility at scale?

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



  • Automated Document Verification: This function can help organizations verify the legibility of document numbers on various forms, such as invoices, contracts, and identification cards. By automating this process, businesses can reduce manual errors and accelerate the document verification phase in workflows.

  • Compliance and Auditing: Companies in regulated industries can utilize the identifier to ensure that all document numbers meet legibility standards for compliance purposes. This can enhance audit trails and ensure that documents adhere to legal requirements, minimizing the risk of penalties.

  • Insurance Claim Processing: Insurers can deploy this function to quickly assess the legibility of document numbers on claims submissions. This speeds up the processing time, improves customer satisfaction, and decreases the likelihood of fraud due to illegible documentation.

  • Digitization of Paper Records: Businesses looking to digitize their paper records can use the identifier to ensure that document numbers are clearly readable in scanned documents. This enhances data accuracy for systems like OCR (Optical Character Recognition) and facilitates better archiving and retrieval processes.

  • Customer Onboarding: During customer onboarding, verifying the legibility of document numbers such as IDs or account numbers can streamline the process. This helps in maintaining accurate customer records and enhances the overall experience by reducing onboarding time.

  • Inventory Management: Retailers can incorporate this function to verify that product labels containing document numbers are legible and consistent. This can reduce inventory discrepancies and improve accuracy in stock management, thereby enhancing operational efficiency.

  • Legal Document Processing: Law firms can utilize the identifier to ensure that crucial document numbers on legal documents, such as case files and contracts, are legible. This helps in minimizing disputes related to document authenticity and enhances overall detail-oriented processes in legal workflows.

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