Visual Product Search Engine API: Easy Tutorial For Programmers
The applications of SightScout are diverse and span across various industries. For instance, fashion retailers can significantly benefit from this technology. Customers often encounter a piece of clothing they like but struggle to describe it accurately. By uploading a photo, they can instantly find similar items available for purchase, thereby enhancing customer satisfaction and driving sales.
In the home decor industry, SightScout simplifies the process of finding unique furniture or decorative items. Consumers can upload an image to locate similar products within the retailer’s inventory, improving user engagement and aiding in inventory management by highlighting popular items.
The automotive industry also stands to gain considerably from this API. Users can upload photos of specific car parts they need to replace, and the API will match them with available inventory, simplifying the often complex process of finding the right components. This feature is invaluable for both consumers and professionals, saving time and reducing errors in part selection.
How to Integrate SightScout
For direct API integration, developers need to obtain an API key from the SightScout dashboard. This key grants access to the full suite of functionalities provided by the Visual Product Search Engine API. Developers can use the API to send images for processing, retrieve search results, and manage various aspects of the service. The comprehensive documentation includes code samples in multiple programming languages such as Python, JavaScript, and Ruby, ensuring that developers can effortlessly integrate it into their existing systems.
Alternatively, it supports image uploads via CSV files, offering a streamlined approach for businesses. By preparing a CSV file with image URLs and relevant metadata, companies can batch upload numerous images, facilitating a swift and efficient integration process. This flexibility makes SightScout an ideal solution for businesses of all sizes, from small startups to large enterprises.
What Is The Save Records Endpoint and How Does It Work?
Uploading the assets or photos that users will search for is possible with this endpoint. To put it another way, the search library is an asset. If it's an e-commerce website, for instance, you have to upload
SightScout evaluates the data you supply and, depending on the objectID, either creates a new record or updates an existing one when you send a POST request to the Save Records endpoint. SightScout produces an objectID automatically if one is not provided. With the exception of the objectID, the record is entirely rewritten with the updated data if an existing objectID is supplied.
Here's some more details about it:
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\"}"
}
Parameters Explained
- objectID:
- Type: String
- Description: Unique identifier for the record. If not provided, SightScout generates one automatically. When specified, it ensures that the existing record with this objectID is completely replaced with the new data.
- image_url:
- Type: String
- Description: URL of the product image. This image is used by SightScout for visual search matching.
- product_id:
- Type: String (Optional)
- Description: An optional field that allows you to associate multiple images with a single product. This is particularly useful for e-commerce stores where a single product might have multiple images (e.g., different angles, colors, or variants).
- meta_data:
- Type: String (JSON-formatted)
- Description: Additional metadata associated with the product. This can include attributes such as color, size, brand, and more. The metadata is stored as a JSON string and can be used to enhance search filters and improve user experience.
Finally, this API fills a vital void in the e-commerce industry and is a ground-breaking technology. Platforms are enabled to provide a more user-friendly and effective search experience by use of a sophisticated Visual Product Search Engine API. It is an invaluable tool due to its many applications and ease of integration, whether via direct API access or CSV file uploads.