API Access


import nyckel

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


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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Biscoff, Chips Ahoy, Digestive Biscuits, Famous Amos, Girl Scout Cookies, Granola Bars, Keebler, Lorna Doone, Milano and Nabisco.

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

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

Need to identify cookie brands at scale?

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

Brand Verification: This function can be employed by retailers to verify the brands of cookies being displayed on their shelves or in their online stores. By accurately classifying cookie brands, retailers can ensure compliance with their partnerships and promotional agreements.

Quality Control in Manufacturing: Cookie manufacturers can integrate this classification function in their production lines to monitor and identify any deviation in packaging or product appearance. This real-time verification helps in maintaining quality standards and brand integrity.

Marketing Analytics: Marketers can use this function to analyze the presence and performance of various cookie brands in consumer photos shared on social media. This data can inform advertising strategies, promotional campaigns, and product development based on visual brand recognition.

E-commerce Optimization: Online grocery platforms can implement this function to enhance their product search capabilities, allowing users to filter results by cookie brand. This improves user experience and can potentially increase sales by making navigation easier for customers.

Inventory Management: Retailers can utilize the classification function to track cookie brand inventory levels in real-time. Accurate brand identification enables better inventory forecasting and stock management, reducing the chances of overstocking or stockouts.

Competitive Analysis: Brands can use this function to monitor the competitive landscape by analyzing which cookie brands are prevalent in various retail environments. Understanding where competitors are gaining visibility can help companies refine their market positioning and strategy.

Consumer Feedback Collection: Food service providers, such as cafes or restaurants, can leverage this classification function to gather feedback on specific cookie brands they offer. Analyzing consumer sentiment based on visual reviews can help businesses make informed choices about their menu options.

Identify cookie brands using AI

API Access

How this classifier works

Need to identify cookie brands at scale?