A pretrained country origin of passport classifier that sorts an image into one of 10 categories — the country of origin of the passport.. Use the country origin of passport API immediately, no training required, then adapt it to your own data when you need more.
Drop in a photo and get the prediction back. No signup, no setup.
A sample of the 51 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.
Once you've added this classifier to your console, you get your own copy of it behind your own endpoint. Invoke it with any HTTP client:
curl
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer $NYCKEL_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "https://example.com/photo.jpg"}'
Python
import requests
# Get an access token: https://www.nyckel.com/docs/api/overview/authentication/
token = "YOUR_ACCESS_TOKEN"
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer " + token},
json={"data": "https://example.com/photo.jpg"},
)
print(response.json())
Example response
{
"labelName": "Argentina",
"labelId": "label_...",
"confidence": 0.92
}
Trained on a Nyckel-curated dataset covering 10 country origin of passport 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.
Deploying the passport origin identifier can help immigration authorities quickly verify the country of issuance for passports at checkpoints. This functionality improves efficiency by ensuring travelers are identified promptly and accurately, enhancing overall border security.
Travel agencies can integrate this function to verify the authenticity of customer passports during the booking process. Identifying the true country of origin helps avoid fraudulent bookings and enhances compliance with international travel regulations.
Banks can use the passport origin identifier to streamline KYC (Know Your Customer) processes. By verifying the passport’s country of issuance, financial institutions ensure they comply with regulations related to anti-money laundering and fraud prevention.
Online retailers can incorporate this function to verify customer identities during high-value transactions. Ensuring the passport’s country of origin matches the billing or shipping address can help in reducing chargebacks and preventing fraudulent activities.
Insurance companies can utilize the identifier in their underwriting processes to assess risks associated with travelers from different countries. Understanding the user's country of origin may influence policy terms, premiums, and conditions based on varying degrees of risk.
Organizers of international conferences or events can apply this function to validate the nationality of attendees upon entry. By confirming the passport origin, they can tailor marketing strategies or create secure environments for attendees based on their geographical background.
Telecommunication companies can implement this identifier during the customer registration process for SIM cards or mobile services. Verifying the passport's country of origin can help ensure compliance with local regulations and prevent identity theft or illegal usage of services.
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.
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.
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.
No. This country origin of passport 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.
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.
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.