Pretrained computer vision classifier
Identify if document appears genuine with one API call.
A pretrained if document appears genuine classifier that sorts an image into one of 2 categories. Use the if document appears genuine API immediately, no training required, then adapt it to your own data when you need more.
Try the if document appears genuine classifier
Drop in a photo and get the prediction back. No signup, no setup.
What this if document appears genuine 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 if document appears genuine 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": "Genuine",
"labelId": "label_...",
"confidence": 0.92
}Under the hood
Trained on a Nyckel-curated dataset covering 2 if document appears genuine 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 if document appears genuine classification
Document Verification in Banking
Financial institutions can utilize the genuine document identifier to verify the authenticity of client-submitted documents like IDs, payslips, or tax forms. This reduces the risk of fraud and ensures compliance with regulatory requirements for customer identification.
E-commerce Fraud Prevention
Online marketplaces can implement this feature to automatically assess the authenticity of documents such as invoices and shipping labels provided by sellers. By flagging potential forgery, the platform protects buyers from possible scams and enhances trust in the marketplace.
Insurance Claims Processing
Insurance companies can deploy the identifier to validate documents submitted with claims, ensuring they are genuine. This improves the efficiency of claims processing, minimizes fraudulent claims, and helps maintain the integrity of the insurance system.
Employment Verification
HR departments can use the genuine document identifier to confirm the authenticity of candidate-provided documents such as degrees, certificates, and identification. This helps in reducing hiring risks and ensuring that only qualified candidates are considered for employment.
Legal Document Authentication
Law firms can access this technology to verify the authenticity of legal documents such as contracts, wills, and agreements. By ensuring that these documents are genuine, firms can protect their clients' interests and avoid potential legal disputes.
Government Document Assessments
Government agencies can implement the identifier to assess the legitimacy of various public documents like permits, licenses, and identification cards. This enhances public safety and ensures that services are only provided to eligible and verified individuals.
Educational Credential Verification
Educational institutions can use the identifier to verify the authenticity of transcripts and diplomas submitted by applicants. This process helps them ensure that admitted students have legitimate credentials, thereby maintaining academic integrity and standards.
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 if document appears genuine 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 if document appears genuine 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.