Identify e-commerce by logo using AI

Below is a free classifier to identify e-commerce by logo. Just upload your image, and our AI will predict what brand or product it represents - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("e-commerce-by-logo", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/e-commerce-by-logo/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/e-commerce-by-logo/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict what brand or product it represents.

This pretrained image model uses a Nyckel-created dataset and has 46 labels, including Alibaba, Amazon, Asos, Banggood, Best Buy, Bonanza, Costco, Craigslist, Dailylook and Depop.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what brand or product it represents).

Whether you're just curious or building e-commerce by logo detection into your application, we hope our classifier proves helpful.

Need to identify e-commerce by logo at scale?

Get API or Zapier access to this classifier for free. It's perfect for:

Brand Verification: Automated systems can use the false image classification function to verify the authenticity of branded products on e-commerce platforms. By detecting counterfeit logos, sellers can ensure that their products are genuine, thereby maintaining brand integrity and customer trust.

Market Analysis: E-commerce companies can leverage logo identification to analyze competitor brands and market trends. By collecting data on competitors' logos and products, businesses can refine their marketing strategies and product offerings based on what's popular in the market.

Personalized Marketing: By identifying logos of brands a consumer frequently purchases, e-commerce platforms can personalize marketing messages. This allows for targeted advertisements that highlight similar products, increasing the likelihood of a purchase.

Fraud Detection: The false image classification function can help e-commerce platforms detect fraudulent listings or unauthorized sellers using logo manipulation. By identifying mismatched logos, platforms can take steps to remove problematic listings and protect customers.

Inventory Management: Retailers can streamline their inventory management by using logo recognition to categorize products automatically. This ensures that products are correctly organized and facilitates quicker restocking and order processing.

Customer Reviews Analysis: E-commerce platforms can analyze customer images and reviews for verifying the authenticity of products. By integrating logo classification, businesses can filter reviews based on image authenticity, enhancing overall customer feedback quality.

Affiliate Marketing Programs: By employing logo identification, e-commerce platforms can better manage their affiliate marketing programs. This allows for accurate tracking of brand promotions by affiliates, ensuring that commissions are fairly distributed based on legitimate referrals.