imgs.ai is a fast, dataset-agnostic, deep visual search engine for digital art history based on neural network embeddings. It 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 on a host of CC0 collections or sign up for an account to access more functions/datasets (institutional email address and approval required.) In total, close to 2.5 million images have been indexed so far, with new datasets added regularly. imgs.ai is a non-profit, experimental research platform and commercial use is not allowed.
Please note: if you signed up before September 2025 your login data has expired and you will be required to sign up again.
imgs.ai is developed by Fabian Offert with contributions by Peter Bell and Oleg Harlamov. Get in touch at hi@imgs.ai.