Visual Analysis & Collection Research
Visual Search
In museum and heritage collections, the image itself often plays a central role. Yet visual properties such as form, colour, composition, technique or repetition are not always fully captured in metadata or descriptions.
With Visual Analysis & Collection Research, you add an extra layer of insight to your collection. AI helps identify visual similarities and recurring characteristics, enabling researchers and collection managers to recognise patterns faster and formulate new research questions. Not as a replacement for subject-matter expertise, but as support for the research process.
New access points for collection research
Visual analysis makes it possible to approach collection material not only through title, maker, dating or keywords, but also through the image itself. This provides an additional research access point, especially in collections where visual characteristics play an important role.
Making patterns and relationships visible
By comparing images with one another, similarities in composition, motifs, forms, colour use or stylistic features can emerge. Such relationships are relevant for collection research, provenance questions, thematic analysis and the recognition of visual traditions within a collection.
Support for interpretation and selection
Visual analysis can help explore large volumes of image material faster. It supports researchers, curators and collection managers in selecting relevant material for further study, presentation or public projects.
Control and quality
AI does the preparatory work. Results remain reviewable and are configured around your sources, fields, terminology and quality criteria. Where relevant, the source or passage remains traceable. Your organisation decides what is adjusted, approved and ultimately used.
A concrete first step
We prefer to start with a clearly defined test set. Together we agree the required output, quality criteria and review flow. This shows what works before you scale up.