API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("razor-brands", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/razor-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/razor-brands/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict what razor brand it is.

This pretrained image model uses a Nyckel-created dataset and has 30 labels, including Ampo, Barbasra, Bevel, Bic, Burt's Bees, Clubman, Crafted, Cremo, Derby and Dollar Shave Club.

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

Whether you're just curious or building razor brands detection into your application, we hope our classifier proves helpful.

Need to identify razor brands at scale?

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

Brand Comparison Tool: This tool allows consumers to compare various razor brands based on false image classifications, helping them make informed decisions when selecting products. It can provide insights into brand reputation and visual marketing strategies across different platforms.

Market Analysis for Retailers: Retailers can use the false image classification function to analyze the presence and visibility of different razor brands in social media and online marketplaces. This data can help in inventory management and promotional strategies.

Brand Monitoring and Reputation Management: Companies can utilize this function to monitor how their brand images are being represented versus competitors. By identifying misleading or misclassified images, brands can take action to correct misrepresentations and protect their reputations.

Advertising Effectiveness Assessment: Advertisers can analyze the impact of their campaigns by examining how images of their razor brands are classified and perceived. This can inform future advertising strategies and creative decisions based on audience reception.

Product Development Insights: The analysis of false image classifications can guide product development teams in understanding consumer preferences and trends within the razor market. Visual data insights can lead to new product designs that resonate better with target audiences.

E-commerce Optimization: E-commerce platforms can implement this function to ensure accurate product listings and improve user experience. By classifying images effectively, they can enhance search results and recommend products that align with consumers' visual expectations.

Fraud Detection in Brand Representation: This function can aid in identifying counterfeit products or unauthorized brand representations. By detecting false images, businesses can protect their intellectual property and take legal action against infringers in the razor market.

Identify razor brands using AI

API Access

How this classifier works

Need to identify razor brands at scale?