Pretrained computer vision classifier
Identify signature validity with one API call.
A pretrained signature validity classifier that sorts an image into one of 2 categories. Use the signature validity API immediately, no training required, then adapt it to your own data when you need more.
Try the signature validity classifier
Drop in a photo and get the prediction back. No signup, no setup.
What this signature validity classifier recognizes
A sample of the 2 labels this pretrained classifier chooses between.
Need a label that isn't here? Clone the classifier into your Nyckel console and edit the label set to fit your data.
Call the signature validity API
Get your own copy of this classifier behind your own endpoint — callable from any HTTP client:
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "https://example.com/photo.jpg"}'import requests
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer YOUR_ACCESS_TOKEN"},
json={"data": "https://example.com/photo.jpg"},
)
print(response.json())const response = await fetch("https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_ACCESS_TOKEN",
"Content-Type": "application/json",
},
body: JSON.stringify({ data: "https://example.com/photo.jpg" }),
});
console.log(await response.json());$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{"data": "https://example.com/photo.jpg"}');
$headers = array();
$headers[] = 'Authorization: Bearer YOUR_ACCESS_TOKEN';
$headers[] = 'Content-Type: application/json';
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
$result = curl_exec($ch);
curl_close($ch);
echo $result;Example response
{
"labelName": "Invalid Signature",
"labelId": "label_...",
"confidence": 0.92
}Under the hood
Trained on a Nyckel-curated dataset covering 2 signature validity categories, served on Nyckel's own infrastructure — your image stays on Nyckel.
Send an image URL or file to the invoke endpoint; the response is a label with a confidence score.
Clone it, then correct predictions and add your own samples in the console — Nyckel retrains automatically, turning this into a custom model tuned to your data.
Where teams use signature validity classification
Document Authentication
The signature validity identifier can be utilized by financial institutions to confirm signatures on loan applications and legal documents, ensuring that they are genuine before processing. This helps mitigate fraud and enhances the integrity of transactions.
E-Signature Verification
E-commerce platforms can integrate this function to verify electronic signatures on contracts or purchase agreements. By confirming the authenticity of signatures, businesses can ensure compliance and reduce disputes related to contract enforcement.
Identity Verification
Government agencies can use the signature validity identifier to authenticate signatures on official documents such as passports and identification cards. This process enhances security and prevents identity theft or fraud during the issuance of government IDs.
Quality Control in Manufacturing
Companies in the manufacturing sector can apply this technology to verify signatures on product certification documents. Ensuring these signatures are valid can help maintain compliance with industry standards and regulations.
Legal Case Management
Law firms can leverage the signature validity identifier when managing client forms and legal filings. By validating the signatures, they streamline processes and reduce the likelihood of void contracts or documents due to fraudulent signatures.
Banking Transaction Verification
Banks can implement this function to verify signatures on checks and withdrawal slips. This adds a layer of security against forged signatures, ultimately protecting the bank and its customers from financial losses.
Academic Credential Authentication
Educational institutions can utilize the signature validity identifier to confirm signatures on diplomas and transcripts. By verifying the authenticity of these signatures, schools can prevent fraudulent claims and uphold the value of their credentials.
Common questions
What's the difference between a zero-shot and a Nyckel-trained classifier?
A zero-shot classifier uses a large foundation model's general knowledge to pick between your labels — no task-specific training, so new or edited labels work immediately. A Nyckel-trained classifier has been trained on labeled examples and runs on Nyckel's own infrastructure, which typically makes it faster, cheaper per call, and more accurate on data that resembles its training set. The "Under the hood" section on this page shows which kind this classifier is, and any classifier can be adapted into a trained one by adding your own examples.
How do I know whether this will work for my application?
Honestly: we can't know in advance — it depends on your data stream and how closely it resembles what this classifier has seen. The reliable way to find out is to measure it on your own data: start invoking the classifier with real traffic, or upload and annotate a set of images in the console — make sure they look like your production data, not idealized examples. Nyckel's evaluation metrics then show you exactly how it performs on that data before you rely on it.
What happens when it makes a mistake?
No classifier is perfect, so Nyckel is built around the correction loop: invokes can be captured for review, you confirm or correct predictions in the console, and corrections become training data. Over time the model adapts to your data distribution — accuracy on your traffic improves with use rather than staying fixed.
Do I need training data to get started?
No. This signature validity classifier works out of the box — clone it into your console and you'll have your own API endpoint in under a minute. Training data only enters the picture when you want to adapt it: your corrected predictions and uploaded samples improve the model, and you can also edit the label set to match your needs.
What does it cost to try?
Trying the classifier on this page is free with no signup. Cloning it requires a free account, and the free tier covers your first API calls each month — see nyckel.com/pricing for current limits and paid tiers.
Related classifiers
Ready to classify signature validity at scale?
Add this pretrained classifier to your Nyckel console — you'll get a live API endpoint in under a minute, and a path to a custom model when you need one.