Identify if document has creases
using AI
Below is a free classifier to identify if document has creases. Just upload your image, and our AI will predict if the document has creases - in just seconds.
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("if-document-has-creases", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-document-has-creases/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-has-creases/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the document has creases.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Creased and Flat.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the document has creases).
Whether you're just curious or building if document has creases detection into your application, we hope our classifier proves helpful.
Need to identify if document has creases at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Document Quality Inspection: This use case involves automated inspection of scanned documents in quality control processes. The system can identify creases that could hinder readability and ensure only high-quality documents are processed.
- Claims Processing in Insurance: Insurance companies can utilize this function to assess the condition of submitted documents, such as claims forms. By detecting creases, the system can flag potentially altered or damaged documents for further review.
- Record Archiving Assessment: Archives can employ this classification function to evaluate incoming documents and determine their suitability for long-term storage. Identifying creases helps prioritize the conservation and restoration of fragile items.
- Automated Invoicing Verification: When processing invoices, businesses can automate the verification of document quality. Identifying creases aids in recognizing potential issues in the submitted invoices that could lead to payment disputes.
- Legal Document Review: Law firms can implement this function during the document review process to ensure that legal papers are in acceptable condition. Creases might indicate previous handling or alterations, necessitating further scrutiny.
- Library Document Cataloging: Libraries can use the classifier when digitizing or cataloging documents to ensure that materials are preserved properly. By identifying creases, staff can take necessary actions to repair or handle documents with care.
- Image Processing for E-commerce: E-commerce platforms can leverage this technology to evaluate product images that include documents or packaging. Detecting creases in documentation or product packaging ensures that only presentable images are featured on their sites.