Content Discovery

Find Your Moment

Describe what you're looking for in natural language. The platform searches across your images, video, and spoken dialogue to surface the most relevant results. For builders, the same capabilities are available through a programmatic API.

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Agentic Discovery

Search that understands your intent

Agentic Discovery is a conversational interface for finding content across your library. Describe what you're looking for, and the system dynamically orchestrates multiple search systems in parallel. A single natural-language query can simultaneously search across visual scenes, spoken dialogue, environmental audio, recognized faces, and structured metadata. The system routes each query to the right combination of signals automatically. You never have to specify how to search. Just describe what you want to find.

What you can do:

Search across images and video in a single query

Your query runs against both image and video datasets. Results come back grouped by type. The system picks up modality cues in your language automatically.

Search spoken dialogue

Find moments based on what was said, not just what was shown. Semantic transcript search surfaces moments where someone discusses a concept, even without using the exact words. Exact match search finds the precise phrase as spoken.

Search by sound

Find moments based on what you hear, not just what you see or read. Audio search identifies environmental sounds, crowd reactions, music, and non-speech audio independently of the visual content.

Steer results with negative search

Tell the system what to avoid while keeping your core query. "Show me videos of crowds but not sports crowds" returns exactly what you'd expect. Constraints are preserved across follow-up queries and drill-downs.

Search by image

Upload a reference image to find visually similar content across your library. Useful for finding related scenes, near-duplicate assets, or moments with a similar visual signature.

Drill into any video

After finding a relevant video, drill down to see the ranked shots within it. Results surface as specific moments with timestamps, so you review and select the right section of footage rather than scrubbing through full files.

Agentic Discovery powers experiences beyond the Coactive platform. Mimir integrates Coactive's conversational search directly into newsroom video workflows, giving editorial teams natural language discovery across their archives without leaving their existing tools. From discovery to assembly: editors select moments and generate editing timelines directly, turning search results into production-ready sequences.

See how Mimir uses Coactive

Search API

Everything above, available programmatically

Build search experiences into editorial tools, content management systems, compliance workflows, or entirely new applications.

Endpoints include: Semantic text-to-image and text-to-keyframe search. Reverse image search. Transcript search (semantic and exact match). Person-identity filtering through Celebrity Detection. Video-level search with shot drill-down.

The same intelligence that powers Agentic Discovery is accessible through a REST API for teams that want to embed search into their own products and workflows.

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Purpose-Built for Visual Content

Search that understands media

Content Discovery is built specifically for teams working with large image and video libraries. The platform processes content once during ingestion and makes it searchable across visual, transcript, and metadata signals without re-processing. Search works across the full content hierarchy: from entire videos down to individual shots and spoken dialogue segments.

Traditional search tools match on what has already been tagged. Coactive's Content Discovery matches what is actually in the content, across every modality, in a single conversational interface.

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Coactive Resources

Learn more about how Coactive can help you unlock your visual content with multimodal AI.

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