Identify signature placement
using AI
Below is a free classifier to identify signature placement. Just upload your image, and our AI will predict where the signature should be placed. - 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("signature-placement", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/signature-placement/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/signature-placement/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict where the signature should be placed..
This pretrained image model uses a Nyckel-created dataset and has 10 labels, including Bottom Center, Bottom Left Corner, Bottom Right Corner, Full Page, Middle Center, Middle Left, Middle Right, Top Center, Top Left Corner and Top Right Corner.
We'll also show a confidence score (the higher the number, the more confident the AI model is around where the signature should be placed.).
Whether you're just curious or building signature placement detection into your application, we hope our classifier proves helpful.
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Need to identify signature placement at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Document Compliance Verification: Organizations can utilize the signature placement identifier to ensure that essential documents have been signed in the correct locations. This function can automatically analyze contracts, agreements, and other legal documents, flagging any instances where signatures are placed incorrectly, thereby maintaining compliance and reducing legal risks.
- Automated Quality Control in Document Processing: Businesses can integrate the signature placement identifier into their document processing systems to automate quality checks. By verifying the placement of signatures, the system can reduce manual review workload and ensure that only correctly signed documents proceed through workflows.
- Fraud Prevention in Transactional Documents: Financial institutions can employ this technology to detect fraudulent activities by analyzing the placement of signatures on transaction documents. Anomalies in signature placement can trigger alerts for further investigation, thus enhancing security and reducing fraud losses.
- Streamlined Customer Onboarding: Companies in sectors like banking and insurance can leverage the identifier to enhance the customer onboarding process. By ensuring that signatures are placed accurately on forms, they can improve the speed of processing and customer satisfaction while minimizing errors that delay account activation.
- Digital Signature Validation: In the realm of digital signatures, this function can verify if the authenticated signature is placed correctly according to standard protocols. This capability helps businesses adhere to regulatory standards while fostering trust in digital transactions and agreements.
- Legal Document Analysis: Law firms can use the signature placement identifier as a tool for analyzing and checking legal documents before submission. By detecting misplaced signatures, they can avoid potential disputes and ensure that all necessary parties have signed in the appropriate locations.
- Enhanced Customer Experience in E-signature Platforms: E-signature service providers can implement this identifier to provide users with real-time feedback on the placement of their signatures. This feature not only enhances the user experience by preventing errors before submission but also improves the overall integrity and accuracy of electronically signed documents.