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 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 hi@imgs.ai.