Visual Search in Fashion

Let customers find your products by capturing real-life pictures with their cellphone. Grow your revenue & add an engaging feature to your e-commerce site.

Search
Fashion Photos

Search Fashion & Other Products

Streamline the path from a customers photo to your product purchase. Let people snap photos with their devices and recommend them similar or same product they see in real life. Search products in blogs and other editorial content to cover the costs of publishing. Ximilar can provide all this using visual search for fashion and other products.

Try it yourself: See demo

Under the Hood

The service combines fashion tagging with product similarity. Given a real-life image, the Visual Fashion Search first detects individual pieces of clothing & assigns fashion tags in a similar way as Fashion Tagging service. Then, it finds the most visually similar pieces from your fashion collection just like Product Similarity service. Before that, you must upload your product image collection to Ximilar.

Technology Stack

We use state of the art neural network models & machine learning techniques. Constantly trying to improve the technology so you always have the best quality available. Each model has millions of parameters which can be processed by CPU or GPU. Our intelligent algorithm picks from several models & uses the best performing.

API Documentation

We take care of the complexity behind and wrap it in a few lines of code.

full documentation

cURL
Python

curl -H "Content-Type: application/json" -H "authorization: Token __API_TOKEN__" -H "search-collection": "my_collection" https://api.ximilar.com/smart/v2/product/search -d '{"records": [ {"_url": "https://bit.ly/2IymQJv" } ], "_search_params": { "k": 10 } }'

import requests 
import json 
 
url = 'https://api.ximilar.com/smart/v2/product/search/' 
headers = {
    'Content-Type': 'application/json',
    'Authorization': "Token __API_TOKEN__", 
    'search-collection': "my_collection"
}

data = { 
    'records': [ 
        { '_url': __IMAGE_URL__,
         '_search_params': { 'k': 10 }
        }
    ]
} 
 
response = requests.post(endpoint, headers=headers, data=json.dumps(data)) 
if response.raise_for_status(): 
    print(json.dumps(response.json(), indent=2)) 
else: 
    print('Error posting API: ' + response.text)

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Search Fashion & Other Products

Under the Hood

Technology Stack

API Documentation

Ximilar is a reliable & responsible partner in image AI. We deliver what we promise.