Identify handwritten digits
using AI
Below is a free classifier to identify handwritten digits. Just upload your image, and our AI will predict what digit it is - in just seconds.
Image should be close up, without other text around it
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("handwritten-digits-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/handwritten-digits-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-digits-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what digit it is.
This pretrained image model uses the MNIST 42000 Images dataset and has 19 labels, including 1, 2, equal sign, and 16 more.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what digit it is).
Whether you're just curious or building handwritten digits detection into your application, we hope our classifier proves helpful.
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Need to identify handwritten digits at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
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- Hospitality: Identify handwritten guest feedback to enhance service quality. Sort handwritten reservation requests for organized booking management.