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Agentset processes more than just text. Images embedded in your documents are automatically extracted and analyzed. You can also upload standalone images directly. YouTube videos can be ingested for transcript-based search.

Images

Agentset supports images in two ways: Both methods work the same way: each image is analyzed to generate a description and extract any visible text, making visual content searchable alongside your text.

How image processing works

During generation, images are preserved and returned with their context, allowing your LLM to reference the original visuals when answering questions. For example, if your document contains this image:
Fruit basket example
Agentset generates a description and returns it in markdown format:
This description becomes searchable—queries like “basket with apples” or “fresh fruit” will match this image.

Native image embedding

For use cases requiring direct visual similarity search, Agentset supports multimodal embedding models that encode images natively rather than converting them to text descriptions. This is useful for product catalogs, visual search, and design asset retrieval. Contact us for access to native image understanding.

Audio and video

YouTube

Ingest YouTube videos, playlists, and channels by providing their URLs. Agentset extracts transcripts and metadata, making video content searchable.

Multiple videos

Pass multiple URLs to ingest several videos, playlists, or channels in a single request.

YouTube options

Configure transcript language and metadata extraction.
YouTube ingestion is processed asynchronously. Learn how to check upload status.

Other video and audio formats

Contact us for early access to additional video and audio formats.

Next steps