Identify if spice is a cooking spice using AI

Below is a free classifier to identify if spice is a cooking spice. Just upload your image, and our AI will predict if it is a cooking spice - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-spice-is-a-cooking-spice", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/if-spice-is-a-cooking-spice/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-spice-is-a-cooking-spice/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if it is a cooking spice.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Is A Spice and Is Not A Spice.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it is a cooking spice).

Whether you're just curious or building if spice is a cooking spice detection into your application, we hope our classifier proves helpful.

Need to identify if spice is a cooking spice at scale?

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

Recipe Recommendation System: Implement a recipe suggestion platform that utilizes the spice classification function to filter and recommend recipes based on the spices available in the user's pantry. Customers can input their spices, and the system identifies which are cooking spices, subsequently suggesting relevant recipes that utilize those spices.

Inventory Management for Grocery Stores: Enhance inventory systems in grocery stores by using the spice classification function to categorize and track cooking spices. This can help store managers optimize stock levels, ensuring that popular spices are readily available for customers while minimizing overstock of non-cooking spices.

Cooking Apps for Beginners: Develop a cooking app designed for novice chefs that incorporates the classification function to help users understand which spices are suitable for cooking. The app can provide educational content alongside recipes, easing the cooking process and building culinary confidence.

Restaurant Menu Optimization: Allow restaurants to optimize their menus based on the cooking spices they use by classifying spices and tailoring the menu offerings accordingly. This ensures that the menu resonates with customers' tastes while keeping ingredient sourcing efficient and cost-effective.

Food Allergy Detection: Use the spice classification function in applications dedicated to identifying potential allergens in cooking spices. By classifying and highlighting common allergens among cooking spices, the application can help users make safer choices based on their specific dietary restrictions.

Online Cooking Courses: Integrate the spice identification function into online cooking courses that provide detailed lessons about cooking with spices. This tool allows instructors to prepare specific lessons focused on cooking spices, enhancing the learning experience for participants.

Nutritional Analysis Software: Incorporate the spice classification function into software designed for nutritional analysis. By accurately identifying cooking spices, the software can assist users in evaluating their dietary habits and understanding the nutritional value provided by the spices they use in their cooking.