Identify email service brands
using AI
Below is a free classifier to identify email service brands. Just upload your image, and our AI will predict what email service brand it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("email-service-brands", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/email-service-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/email-service-brands/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what email service brand it is.
This pretrained image model uses a Nyckel-created dataset and has 19 labels, including Aol Mail, Apple Mail, Clicks, Fastmail, Gmail, Gmx Mail, Hushmail, Icloud Mail, Inbox and Lycos Mail.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what email service brand it is).
Whether you're just curious or building email service brands detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify email service brands at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Email Spam Detection: This function could be employed to identify and classify fraudulent or spam emails masquerading as legitimate communications from email service brands. By filtering out these false images, businesses can improve email security and reduce the risk of phishing attacks on users.
- Brand Reputation Management: Companies can utilize the image classification function to monitor and analyze the presence of their branding in user-uploaded content or social media. By identifying false representations of their brand, businesses can take targeted actions to protect their reputation and prevent misinformation from spreading.
- Customer Support Automation: Integrating this function into customer support systems can help identify false email identities attempting to impersonate genuine service brands. Automated systems can flag or route these emails to specialized teams for further investigation, enhancing the efficiency of customer support.
- Marketing Campaign Optimization: Marketers can employ this function to ensure their branded email campaigns reach the correct audience without falling into the traps of look-a-like spam emails. This can help maximize the effectiveness of their campaigns by ensuring brand integrity and customer trust.
- E-commerce Fraud Prevention: This function can be used by e-commerce platforms to detect and block fraudulent transactions initiated through false email solicitations. By identifying misleading emails that may lead to unauthorized purchases, businesses can safeguard their customers and minimize losses.
- User Education and Awareness: Companies can leverage insights gained from this classification function to educate users about the prevalence of impersonation in email communications. By providing resources based on detected false images, businesses can foster better awareness about phishing techniques among their customer base.
- Brand Partnership Verification: Businesses that engage in partnerships and co-marketing initiatives can utilize this function to verify that all email communications bearing their logos or branding are legitimate. This ensures that the integrity of the brand is maintained across all collaborative marketing efforts, enhancing trust among partners and customers alike.