Retail Image Search API: High Quality Visual Search

Visual search technology is revolutionizing retail in the digital age, when customer expectations are ever-changing. Precise and easy-to-use search results are often elusive with traditional text-based search techniques. Let me introduce you to the amazing Retail Image Search API, a technological marvel that uses photos to improve the buying experience. Retailers may now provide premium visual search capabilities that satisfy the needs of contemporary consumers for speed and accuracy thanks to products like SightScout.

The Development of Retail Visual Search

There have been notable developments in search technology within the retail sector. When sophisticated search algorithms and filters were introduced, the initial dominance of basic text searches started to change. Text-based searches, on the other hand, still needed users to specify their requirements, which frequently produced unclear or lacking results. using the development of visual search technology, a new paradigm was created that let people search using images rather than words. Rapid developments in machine learning and artificial intelligence (AI) have fueled this progression by improving the precision and effectiveness of visual search algorithms.

SightScout: What is a Retail Image Search API?

With the use of a strong tool called a Retail Image Search API, retailers may incorporate visual search functionality into their e-commerce platforms. Users can upload photos, and when they do, they will get search results that are visually compatible with the supplied image. This technology analyzes and compares visual features using sophisticated algorithms and deep learning models to provide consumers precise product suggestions based on the images they submit.

Image recognition: This technique uses content analysis to recognize characteristics, patterns, and objects in images. To identify and classify visual aspects, it makes use of machine learning models that have been trained on large datasets.
Visual search heavily relies on deep learning models, especially convolutional neural networks (CNNs). They improve the accuracy of search results by applying several layers of processing to images in order to extract and understand complicated features.
Feature extraction is the process of locating distinguishing characteristics in an image, like texture, color, and shape. The photograph is then compared to items in the retailer's inventory using these features.

Different Endpoints

Save Record or Asset in Index

You can give users the files or images they're seeking for by using this Endpoint. To put it another way, one of the resources is the search library. For instance, you must upload an equivalent number of photos of your products if you own an online store. Additionally, you can post several images for each product.

Body

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

The Search Endpoint allows you to upload an image, and it will return assets that are similar to it on a likeness scale of 0 to 1, where 1 represents the highest likeness.

Body

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

Delete a Record by Object ID

If you want to remove a record or asset from your index, use this endpoint. Please remember that when you build your index, YOU_INDEX_HOST must be replaced with the Index Host that SightScout will provide you with via the web interface.

Find Object ID in Index

You can obtain all the data associated with an Object ID, including meta_data, asset_url, type, engine, created_at, updated_at, and product Id, by using this endpoint.

Real-Time Image Processing and Recognition

The API's real-time picture processing and recognition capabilities are among its best features. This feature guarantees instantaneous and precise search results for users, augmenting their whole buying experience. The Retail Image Search API needs to manage huge databases skillfully in order to preserve speed and effectiveness. This entails fine-tuning image processing algorithms and utilizing strong indexing strategies to guarantee quick search result retrieval—even when working with large product catalogs.