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
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 is built with 9000 samples across 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 of what digit it is).
Whether you’re a tech-minded graphologists, just curious, or building handwritten digits detection into your application, we hope our classifier proves helpful.
Need to identify handwritten digits at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Finance: Automate the processing of handwritten checks to reduce manual errors. Validate account numbers on handwritten deposit slips for quick verification.
- Education: Grade student assignments with handwritten answers for efficient evaluation. Identify student IDs on handwritten test papers to streamline grading.
- Healthcare: Digitize handwritten medical records to improve accessibility and accuracy. Process handwritten patient consent forms for faster record management.
- Retail: Sort handwritten customer feedback forms to gather insights quickly. Analyze handwritten warranty cards for better customer service.
- Logistics: Process handwritten shipping labels to ensure accurate delivery. Verify handwritten addresses on parcels for improved sorting efficiency.
- Insurance: Scan handwritten insurance claim forms to expedite processing. Sort handwritten beneficiary information for better record keeping.
- Hospitality: Identify handwritten guest feedback to enhance service quality. Sort handwritten reservation requests for organized booking management.