Identify if text is an ad
using AI
Below is a free classifier to identify if text is an ad. Just upload your image, and our AI will predict if it's an advertisement - 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-text-is-an-ad", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-text-is-an-ad/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-text-is-an-ad/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it's an advertisement.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Advertisement and Not Advertisement.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's an advertisement).
Whether you're just curious or building if text is an ad detection into your application, we hope our classifier proves helpful.
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Need to identify if text is an ad at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Advertising Compliance Monitoring: Businesses can utilize the 'if text is an ad' identifier to automatically screen marketing materials for compliance with advertising regulations and guidelines. This ensures that all promotional content adheres to industry standards, reducing the risk of legal issues and enhancing brand reputation.
- Content Curation for Media Platforms: Media platforms can use the identifier to filter and categorize user-generated content, distinguishing between ads and regular posts. This functionality allows for a cleaner user experience, as platforms can prioritize organic posts in feeds while managing ad placements more effectively.
- Performance Analytics for Marketing Campaigns: Marketing teams can leverage this identifier to analyze the effectiveness of their advertising content. By isolating ads from non-ad content, businesses can measure engagement metrics more accurately, allowing for more informed decisions on campaign adjustments.
- Ad Blocker Development: Developers of ad-blocking software can integrate the identifier to enhance their tools, ensuring that genuine advertisements are consistently and accurately detected. This improved accuracy leads to fewer false positives, allowing users to enjoy a smoother browsing experience without disrupting legitimate content.
- Targeted Advertising Improvements: Advertising platforms can harness the identifier to refine their targeting algorithms. By accurately identifying ad content, marketers can employ better segmentation strategies, ensuring ads reach the most relevant audiences based on user behavior and preferences.
- Social Media Monitoring: Brands can use the identifier to monitor their social media presence by distinguishing between promotional posts and organic engagement. This insight helps in understanding customer interactions, refining outreach strategies, and measuring ROI from ads compared to organic efforts.
- E-Commerce Product Listings: E-commerce platforms can utilize the identifier to improve the classification of listings as either non-promotional product information or advertisements. This enables more effective filtering and searching for customers, leading to enhanced user satisfaction and potentially higher conversion rates.