Identify if email newsletter safe
using AI
Below is a free classifier to identify if email newsletter safe. Just upload your image, and our AI will predict if the email newsletter is safe - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-email-newsletter-safe-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-email-newsletter-safe-identifier/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/if-email-newsletter-safe-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the email newsletter is safe.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Email Safe and Not Safe.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the email newsletter is safe).
Whether you're just curious or building if email newsletter safe detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if email newsletter safe at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Spam Detection: This use case focuses on identifying whether an email newsletter is safe from spam. By using the image classification function, businesses can automate spam detection processes, ensuring that only legitimate newsletters reach inboxes, which enhances the user experience.
- Phishing Prevention: Companies can utilize image classification to detect potential phishing risks in email newsletters. Identifying elements that indicate phishing attempts enables the implementation of preventive measures, safeguarding users from fraudulent activities.
- Content Moderation: Businesses can leverage this function to moderate visual content in email newsletters for compliance with their branding guidelines. By automatically categorizing images as safe or unsafe, brands can maintain their reputation and ensure a consistent image policy.
- User Engagement Analytics: This use case involves analyzing which types of images in newsletters drive higher engagement while ensuring those images are safe. Understanding image safety in conjunction with user interaction metrics allows marketers to optimize content strategy effectively.
- Brand Protection: Organizations can apply the image classification function to monitor email newsletters that feature their branding. By identifying and flagging potentially harmful or unsafe content, brands can protect their image and ensure customer trust in their communications.
- Compliance Assurance: This function can help businesses comply with regulatory standards by screening images in email newsletters for safety. By ensuring that all visual content meets legal requirements, companies can mitigate risks associated with compliance failures.
- Customer Support Automation: Implementing this classification function in customer support systems can help identify and filter safe email newsletters for faster query resolution. Automated tagging of safe content streamlines customer interactions, allowing support teams to focus on more complex issues.