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What are Entity Collections?

Entity Collections in Cloudglue enable you to organize multiple videos and extract consistent, structured data across your entire video library. Unlike the on-demand Extract API which processes videos individually, Entity Collections apply a unified extraction schema and prompt to every video in the collection, ensuring standardized data structures for comparative analysis, search, and insights. This allows you to create a queryable database of video content organized around the specific entities that matter to your use case.

While the on-demand Extract API is perfect for one-off structured data extraction, Entity Collections shine when you need to work with multiple videos over time. Collections automatically process new videos as they’re added, maintain consistent extraction parameters across your content library, and enable powerful cross-video analysis. For example, you can track cooking techniques across recipe videos, compare product features across demos, or identify patterns in educational content—all without manually configuring extraction for each video.

Entity Collections integrate seamlessly with the rest of Cloudglue’s ecosystem, working alongside Files for storage and Rich Transcripts for detailed content understanding. You can create collections with custom extraction schemas tailored to your specific domain, whether that’s cooking videos with ingredient tracking, product demonstrations with feature extraction, or educational content with teaching method identification. To get started with Entity Collections, see our structured data extraction guide or explore a complete implementation in our cooking videos example.