Identify credit card brands
using AI
Below is a free classifier to identify credit card brands. Just upload your image, and our AI will predict what credit card brand it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("credit-card-brands", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/credit-card-brands/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/credit-card-brands/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what credit card brand it is.
This pretrained image model uses a Nyckel-created dataset and has 12 labels, including American Express, Diners Club, Discover, Elo, Interac, Jcb, Maestro, Mastercard, Rupay and Unionpay.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what credit card brand it is).
Whether you're just curious or building credit card brands detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify credit card brands at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Recognition in E-Commerce: This function can be integrated into e-commerce platforms to reliably identify the credit card brand used during the checkout process. By ensuring accurate brand identification, businesses can optimize payment options and tailor promotional offers based on the customer's preferred card brand.
- Fraud Detection System: Financial institutions can employ this function to enhance their fraud detection mechanisms. By recognizing credit card brands in transaction data, businesses can better analyze unusual patterns and flag potential fraudulent activities tied to specific brands.
- Personalized Marketing Campaigns: Marketers can leverage this function to segment their target audience based on credit card brand usage. This information can guide tailored marketing campaigns, enabling companies to present targeted offers and incentives that align with customers' payment preferences.
- Loyalty Program Integration: Retailers can use this function to identify credit card brands and link them to loyalty programs. By understanding which brands their customers use most frequently, businesses can create or refine loyalty rewards that resonate more with their clientele.
- Payment Analytics Reporting: This function can be instrumental for businesses wanting to analyze payment trends across various credit card brands. By categorizing transactions by brand, organizations can gain valuable insights into consumer behavior and adjust strategies accordingly.
- Customer Support Improvement: Customer support teams can utilize this function to quickly identify the credit card brand in inquiries related to payment issues. This enables them to better assist customers by offering precise solutions or addressing brand-specific challenges more effectively.
- Risk Assessment During Onboarding: Financial services can implement this function during the onboarding process of new customers. By identifying credit card brands early in the process, businesses can evaluate risks and tailor their services to align with the credit profiles associated with specific brands.