Identify handwriting legibility using AI

Below is a free classifier to identify handwriting legibility. Just upload your image, and our AI will predict how legible the handwriting is - in just seconds.

handwriting legibility identifier

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Get started

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

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

How this classifier works

To start, upload your image. Our AI tool will then predict how legible the handwriting is.

This pretrained image model uses a Nyckel-created dataset and has 12 labels, including Clear, Completely Illegible, Easily Readable, Hard To Read, Illegible, Legible, Moderate, Mostly Clear, Mostly Illegible and Poorly Legible.

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

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

Need to identify handwriting legibility at scale?

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



  • Educational Assessment: The handwriting legibility identifier can be used by educational institutions to evaluate students' handwriting skills. By analyzing handwritten assignments, teachers can identify students who may need additional support or targeted instruction to improve their writing legibility.

  • Document Verification: Businesses dealing with handwritten documents can use this function to verify the legibility of written content. This can help in filtering out illegible documents at the initial screening stage, ensuring that only clear and readable submissions are processed.

  • Data Entry Automation: Organizations can implement the handwriting legibility identifier in data entry processes to enhance efficiency. By automatically flagging illegible handwriting, companies can reduce human error and minimize the time spent on manual corrections of written data.

  • Medical Records Management: In healthcare settings, the legibility identifier can assist in managing patients' handwritten medical records. By ensuring that all recorded information is clear and understandable, healthcare providers can improve patient care and reduce the risk of misinterpretation due to poor handwriting.

  • Customer Feedback Analysis: Businesses can analyze handwritten customer feedback forms using this identifier to gauge the legibility of responses. By focusing on well-written comments, companies can better interpret customer sentiments and improve their services based on clear feedback.

  • Legal Document Review: Law firms can utilize the handwriting legibility identifier to assess the clarity of handwritten legal documents. This process can help ensure that critical information is easily readable, thereby reducing the likelihood of disputes arising from misinterpretation of handwritten evidence.

  • Handwriting Recognition Training: This function can be incorporated into applications aimed at training handwriting recognition systems. By evaluating the legibility of handwriting samples, developers can refine algorithms to improve accuracy and functionality in converting handwritten text to digital formats.

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