Identify if document is properly focused using AI

Below is a free classifier to identify if document is properly focused. Just upload your image, and our AI will predict if the document is properly focused - in just seconds.

import nyckel credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET") nyckel.invoke("if-document-is-properly-focused", "your_image_url", credentials)

fetch('https://www.nyckel.com/v1/functions/if-document-is-properly-focused/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/if-document-is-properly-focused/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if the document is properly focused.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including In Focus and Out Of Focus.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the document is properly focused).

Whether you're just curious or building if document is properly focused detection into your application, we hope our classifier proves helpful.

Need to identify if document is properly focused at scale?

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

Document Quality Assessment: This use case involves evaluating scanned documents for clarity and focus. Organizations can utilize this function to filter out low-quality images, ensuring that only well-focused documents proceed to the next step in workflow processes.

Automated Data Entry Verification: In data entry automation, ensuring that documents are clear and focused is critical for accurate information extraction. This function can help identify and reject documents that do not meet focus standards before being processed by OCR (Optical Character Recognition) systems.

Enhanced Document Archiving: When archiving documents, it is essential to maintain high-quality copies for future reference. This identifier can assess documents before they are archived, allowing organizations to discard poorly focused images, thus preserving only the best quality for historical records.

Quality Control in Document Submission: Organizations that require document submissions from clients can implement this function to automatically evaluate the quality of submitted items. It can notify users if their submissions are not properly focused, reducing the need for follow-up communications.

Compliance in Legal Documentation: In legal contexts, document clarity is crucial for compliance and accurate interpretation. This function can be used to pre-screen legal documents ensuring that only those that are properly focused are submitted for review, reducing the risk of errors.

Insurance Claim Processing: Insurance companies can leverage this identifier to optimize claim processing by ensuring that submitted photographs or documents are clear and focused. This reduction in poor-quality submissions can expedite claims assessments and reduce processing times.

Educational Assessment Evaluation: In educational environments, teachers can use this function to assess student submissions, such as scanned tests and assignments. By identifying poorly focused documents, educators can give feedback to students, encouraging them to improve the quality of their submissions for future assessments.