Adobe Stock offers a Find Similar feature that uses an AI image-similarity engine to surface stock assets that visually match a selected image, allowing users to search by content, color, or composition instead of — or in addition to — text keywords.

The Find Similar system accepts an image (either from Adobe Stock search results or uploaded by the user) as input and produces a ranked list of visually similar stock images and videos as output. The underlying technology uses machine learning models that convert images into dense numerical vectors (embeddings) and then compute similarity scores across the collection. Users can refine results by sub-filters: Content (similar subject matter), Color (matching palette), or Composition (similar layout and depth). Adobe's engineering blog described the system as built in partnership with Adobe Research and the Adobe Sensei team.