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Coactive Content Discovery
Coactive lists San Jose as its headquarters.
What it is
Coactive Content Discovery helps teams search large image and video libraries using natural-language queries. Agentic Discovery can route a query across visual scenes, spoken dialogue, environmental audio, recognized faces and structured metadata. Searchers can use text, an image prompt or both; uploading a reference image can surface visually similar content, related scenes or near-duplicates. Transcript search supports semantic queries and exact phrase matching, and audio search can find non-speech sounds independently of visuals. Users can exclude content and retain those constraints through follow-up searches and drill-downs. Results can be narrowed to ranked video moments with timestamps. The platform processes content during ingestion, then searches visual, transcript and metadata signals without reprocessing. Its REST API exposes text-to-image, text-to-keyframe, reverse image, transcript, person-identity and video shot drill-down searches. Coactive documents organization-level SSO using SAML 2.0 or OpenID Connect and links to API and SDK guides. The product is built for teams working with large image and video libraries. It is available via web and API, with pricing on request.
For and against
For
- Searches visual, transcript and metadata signals together
- Accepts natural-language and image prompts
- Finds non-speech audio independently of visuals
- Offers video drill-down with timestamped moments
Against
- Pricing is available on request
- Designed for teams with large image and video libraries
The verdict
Coactive Content Discovery combines multimodal search, refinement and API access for large media libraries. Teams should request pricing and check the documentation for API and SDK details.
Who it suits
It suits content operations, data science, editorial, product and engineering teams working with large image and video libraries. Teams needing programmatic search can use its REST API.
On the record
- Agentic search
- Agentic Discovery routes a query across visual scenes, spoken dialogue, environmental audio, recognized faces, and structured metadata.coactive.ai · read 5 Oct 2026
- API
- A REST API exposes semantic text-to-image and text-to-keyframe search, reverse image search, transcript search, person-identity filtering, and video search with shot drill-down.coactive.ai · read 5 Oct 2026
- Audience
- Content Discovery is built for teams working with large image and video libraries.coactive.ai · read 4 Oct 2026
- Audio search
- Audio search can find environmental sounds, crowd reactions, music, and other non-speech audio independently of visual content.coactive.ai · read 5 Oct 2026
- Image search
- Users can upload a reference image to find visually similar content, related scenes, or near-duplicate assets.coactive.ai · read 4 Oct 2026
- Indexing
- The platform processes content once during ingestion and searches visual, transcript, and metadata signals without reprocessing.coactive.ai · read 5 Oct 2026
- Ingestion
- The platform processes content once during ingestion and makes it searchable across visual, transcript, and metadata signals without reprocessing.coactive.ai · read 4 Oct 2026
- Integration
- Mimir integrates Coactive conversational search into newsroom video workflows and lets editors generate editing timelines from selected moments.coactive.ai · read 4 Oct 2026
- Integrations
- Coactive names AWS, Databricks, and Microsoft as technology partners, and says its APIs can support integrations with third-party tools such as Mimir and Adobe Premiere.coactive.ai · read 5 Oct 2026
- Intended users
- Coactive describes the platform as built for teams working with large image and video libraries, including content operations, data science, editorial, product, and engineering teams.coactive.ai · read 5 Oct 2026
- Negative search
- Users can specify content to exclude, and the page says those constraints persist across follow-up queries and drill-downs.coactive.ai · read 4 Oct 2026
- Product
- Content Discovery searches images, video, and spoken dialogue using natural-language queries.coactive.ai · read 4 Oct 2026
- Purpose
- Content Discovery searches image, video, and spoken dialogue libraries using natural-language queries.coactive.ai · read 5 Oct 2026
- Refine results
- Users can exclude content with negative search constraints and preserve those constraints across follow-up queries and drill-downs.coactive.ai · read 5 Oct 2026
- Search API
- The REST API includes semantic text-to-image and text-to-keyframe search, reverse image search, transcript search, person-identity filtering, and video search with shot drill-down.coactive.ai · read 4 Oct 2026
- Search inputs
- Users can search with natural-language prompts, image prompts, or both together.coactive.ai · read 5 Oct 2026
- Search signals
- Agentic Discovery can search visual scenes, spoken dialogue, environmental audio, recognized faces, and structured metadata in one query.coactive.ai · read 4 Oct 2026
- Security
- Coactive says it uses a security-by-design approach and has implemented security and regulatory controls such as SOC 2.coactive.ai · read 5 Oct 2026
