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.
Numbers should be close up, without other text around it
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 is built with 9000 samples across 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 of what number it is).
Whether you’re a tech-minded graphologists, just curious, or building handwritten numbers detection into your application, we hope our classifier proves helpful.
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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.