imgs.ai is a fast, dataset-agnostic, deep visual search engine for digital art history based on neural network embeddings. imgs.ai utilizes modern approximate k-NN algorithms via Spotify's Annoy library to deliver fast search results even for very large datasets in low-resource environments, and integrates the OpenAI CLIP model for text-based visual search. Try it below on the complete Rijksmuseum, Cleveland Museum of Art, and Metropolitan Museum of Art collections (CC0) or sign up for an account to access more functions/datasets (institutional email address and approval required.) imgs.ai is developed by Fabian Offert, with contributions by Peter Bell and Oleg Harlamov. Get in touch at firstname.lastname@example.org.