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After partitioning and chunking, you can have Unstructured generate text-based summaries of detected images. This summarization is done by using models offered through these providers: Here is an example of the output of a detected image using GPT-4o. Note specifically the text field that is added. Line breaks have been inserted here for readability. The output will not contain these line breaks.
Any embeddings that are produced after these summaries are generated will be based on the text field’s contents.

Generate image descriptions

To generate image descriptions, in an Enrichment node in a workflow, specify the following:
You can change a workflow’s image description settings only through Custom workflow settings.Image summaries are generated only when the Partitioner node in a workflow is also set to use the High Res partitioning strategy. Learn more.
Select Image, and then choose one of the following provider (and model) combinations to use: