CoreViz is an AI-powered platform for organizing, searching, and editing large photo and video libraries using natural-language prompts. It supports workflows like AI search across media, automated tagging and categorization, visual similarity matching, and text-prompt editing tasks such as background removal, object removal, and enhancements. 
The resource is useful for designers, content teams, photographers, and organizations managing big asset libraries who want faster discovery and cleaner metadata without manual sorting. It’s also relevant for developer teams that want to integrate vision features through an SDK for tasks like image descriptions, tagging/classification, AI edits, and embeddings for semantic search.
