Question: Can you suggest a solution for building a visual search feature into my mobile app?

If you want to add a visual search feature to your mobile app, Imagga is a good option. Imagga has a wide range of image recognition abilities, including visual search, facial recognition, content moderation and more. The API can automatically classify images, create thumbnails, extract colors and even let you train your own machine learning model for custom categories. It supports multiple integration options, including cloud, on-premise and edge/mobile, and offers detailed developer documentation and a dedicated support team.

Another option worth considering is Ximilar, which uses AI-based solutions to automatically tag, describe, categorize and search images. Customers can create their own models and integrate them into their own systems for object detection in images. Ximilar also offers a no-code interface for managing collections and data, and its REST API is available in many programming languages, making it a good fit for e-commerce, fashion, real estate and collectibles.

If you want something built in, Google Lens is a general-purpose tool that uses your phone's camera for visual search and information identification. It can do lots of things, including recognizing text in real time, translating text in more than 100 languages and identifying objects for plants and animals. Google Lens is built into several Google apps like Google Photos and Chrome, so you can get information and answers without having to search for it yourself.

If you want more advanced image search abilities, TinEye offers a variety of products and APIs, including reverse image search, content moderation and fraud detection. It caters to businesses like e-commerce, digital media and beverages, and offers consulting services for more complex computer vision challenges. TinEye is a good choice if your app needs to be able to search images quickly and accurately.