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Image Based Search API: Real Time Visual Search

Being able to provide a quick and easy way to search is crucial in the cutthroat world of online shopping. Conventional text-based search techniques frequently don’t meet consumers’ needs, especially when those needs don’t include exact product descriptions. This is where SightScout enters the picture, transforming the search engine landscape with its real-time visual search via its Image Based Search API.

Text-based search functions are commonly utilized by e-commerce platforms. These approaches can make searching difficult for users who are unsure about product names or descriptions, even when they work effectively for clearly stated queries. When dealing with visually unique goods or when users are unable to explain their demands accurately, text-based searches may pose challenges as they need users to input particular terms. This restriction frequently results in user dissatisfaction and frustration.

Introducing SightScout

Image Based Search API: Real Time Visual Search

By offering a state-of-the-art Image Based Search API that lets customers search for products using images rather than text, SightScout solves these problems. This technology provides a more user-friendly and effective search experience by using sophisticated visual recognition algorithms to instantly assess and match photos. Users can upload a photo of a product they’re interested in with this tool, and the API will find and provide related items from the database.

Use Cases for The Image Based Search API

There are numerous applications available for the SightScout API in various industries:

  • Platforms for E-Commerce: Online merchants can improve their product search capabilities by adding SightScout. To increase search accuracy and consumer happiness, customers can upload photographs of the things they want, and the API will return visually similar products that can be purchased.
  • Fashion Retail: It assists fashion shops in finding apparel and accessories that complement their aesthetic tastes. By uploading a picture of a garment, customers can find similar products from different brands, which improves their buying experience.
  • Home Décor: It also allows users to look for furniture and décor goods in the home décor market based on visual input. The process of decorating a customer’s house can be streamlined by allowing them to upload photographs of the things they want and find similar possibilities.

Endpoints

Save Record or Asset in Index

Adds or removes entries from the index. SightScout integrates an objectID automatically to records that don’t already have one. With the exception of objectID, all attributes are fully replaced if you give an existing objectID. For e-commerce businesses in particular, the optional product_id parameter is very helpful as it lets you link many photos to a single product.

POST https://sightscout.net/api/v1/indexes/YOUR_INDEX_HOST/saveRecord
    {
        "objectID": "your-object-id",
        "image_url": "value1",
        "product_id": "value2",
        "meta_data": "{\"color\":\"azul\",\"talle\":\"M\",\"brand\":\"ExampleBrand\"}"
    }

Search Endpoint

To search the index, send a URL for an image.

POST https://sightscout.net/api/v1/indexes/YOUR_INDEX_HOST/search
    {
        "image_url": "https://example.com/image.jpg"
    }

Conclusion

For e-commerce applications, the SightScout Image Based Search API provides an advanced way to improve search capabilities. The API solves the shortcomings of conventional search techniques and offers a more user-friendly and effective search experience by enabling users to conduct searches using images rather than text. It gives companies the ability to provide sophisticated visual search features, increasing customer happiness and engagement in a variety of sectors. It does this through facilitating simple integration choices and real-time processing capabilities.

Related Post: Image Based Search API: Accurate And Fast

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