Identify handwritten numbers using AI

Below is a free classifier to identify handwritten numbers. Just upload your image, and our AI will predict what number it is - in just seconds.

handwritten numbers identifier

Numbers should be close up, without other text around it

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("handwritten-numbers-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/handwritten-numbers-identifier/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/handwritten-numbers-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what number it is.

This pretrained image model uses the MNIST 42000 Images dataset and has 19 labels, including 1, 2, 3, and 7 more.

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

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

Recommended Classifiers

Need to identify handwritten numbers at scale?

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



  • Retail: Identify handwritten product codes in inventory records. Simplify stock management and ordering processes.

  • Banking: Recognize handwritten account numbers on deposit slips. Streamline transaction processing and reduce errors.

  • Education: Evaluate handwritten student ID numbers on exam sheets. Improve accuracy and efficiency in grading.

  • Healthcare: Read handwritten patient numbers on medical forms. Speed up patient record updates and reduce misfiling.

  • Logistics: Detect handwritten tracking numbers on parcels. Enhance package sorting and delivery accuracy.

  • Insurance: Process handwritten policy numbers on claim forms. Expedite claim processing and minimize manual entry errors.

  • Government: Verify handwritten document numbers on official forms. Ensure accurate record-keeping and reduce processing times.

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