
Coactive Content Discovery
Coactive Content Discovery helps teams search large image and video libraries using natural-language queries.
What Coactive Content Discovery is
Coactive Content Discovery helps teams search large image and video libraries using natural-language queries. Agentic Discovery can route a search across visual scenes, spoken dialogue, environmental audio, recognized faces, and structured metadata. Searchers can use text prompts, reference images, or both; image searches can surface similar content, related scenes, and near-duplicates. Transcript search supports concept-based queries and exact phrase matches, while audio search can find non-speech sounds without relying on visuals. Users can exclude unwanted material and retain those constraints in follow-up queries and drill-downs. Results can be narrowed to ranked shots within a video, shown as timestamped moments. The platform processes material during ingestion so visual, transcript, and metadata signals remain searchable without reprocessing. Its REST API includes semantic image and keyframe search, reverse image search, transcript search, person-identity filtering, and video shot drill-down. Coactive documents organization-level SSO and API and SDK guides. The product is available via web and API, and pricing is on request.
Good
- Searches visual, transcript, audio, face, and metadata signals.
- Accepts text prompts, image prompts, or both.
- Exclusion constraints persist across follow-up searches.
- Video results can narrow to timestamped ranked shots.
- REST API includes reverse image and transcript search.
Watch out
- Pricing is available on request.
- SSO is documented for organizations using SAML 2.0 or OpenID Connect.
Who it suits
Content Discovery suits content operations, data science, editorial, product, and engineering teams working with large image and video libraries. It is also relevant to teams that need API-based search or SSO.
Verdict
Coactive Content Discovery brings multimodal search and video drill-down to large media libraries. Teams should request pricing and assess the available API and SSO options for their workflows.
The facts
Each one read from Coactive Content Discovery's own pages, with the date it was checked.
What it does
- Agentic search
- Agentic Discovery routes a query across visual scenes, spoken dialogue, environmental audio, recognized faces, and structured metadata.checked 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.checked 5 Oct 2026
- Audience
- Content Discovery is built for teams working with large image and video libraries.checked 4 Oct 2026
- Audio search
- Audio search can find environmental sounds, crowd reactions, music, and other non-speech audio independently of visual content.checked 5 Oct 2026
- Image search
- Users can upload a reference image to find visually similar content, related scenes, or near-duplicate assets.checked 4 Oct 2026
- Indexing
- The platform processes content once during ingestion and searches visual, transcript, and metadata signals without reprocessing.checked 5 Oct 2026
- Ingestion
- The platform processes content once during ingestion and makes it searchable across visual, transcript, and metadata signals without reprocessing.checked 4 Oct 2026
- Integration
- Mimir integrates Coactive conversational search into newsroom video workflows and lets editors generate editing timelines from selected moments.checked 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.checked 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.checked 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.checked 4 Oct 2026
- Product
- Content Discovery searches images, video, and spoken dialogue using natural-language queries.checked 4 Oct 2026
- Purpose
- Content Discovery searches image, video, and spoken dialogue libraries using natural-language queries.checked 5 Oct 2026
- Refine results
- Users can exclude content with negative search constraints and preserve those constraints across follow-up queries and drill-downs.checked 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.checked 4 Oct 2026
- Search inputs
- Users can search with natural-language prompts, image prompts, or both together.checked 5 Oct 2026
- Search signals
- Agentic Discovery can search visual scenes, spoken dialogue, environmental audio, recognized faces, and structured metadata in one query.checked 4 Oct 2026
- Security
- Coactive says it uses a security-by-design approach and has implemented security and regulatory controls such as SOC 2.checked 5 Oct 2026
- Single sign-on
- Coactive documents organization-level SSO using SAML 2.0 or OpenID Connect, including providers such as Okta, Microsoft Entra ID, and Google Workspace.checked 5 Oct 2026
- Support
- Coactive offers product demonstrations, documentation for its APIs and SDKs, and a support contact route.checked 5 Oct 2026
- Transcript search
- Transcript search supports semantic searches for concepts and exact phrase matching.checked 5 Oct 2026
The company
- Founded
- 2021checked 28 Sep 2026
- Headquarters
- Coactive lists San Jose as its headquarters.checked 4 Oct 2026
Where it runs
- Security approach
- Coactive describes its approach as security by design and says it works with customers to help them comply with privacy laws.checked 4 Oct 2026
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