Coactive Content Discovery vs Danbi
Coactive Content Discovery
coactive.ai
Danbi
danbi.aiSide by side
| Figure | Coactive Content Discovery | Danbi |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | — |
| API | Yes | Yes |
| Plans published | 0 | 3 |
| Spec score · AI Video Search Tools | 7.7 (#13) | 8.3 (#9) |
| Headquarters | Coactive lists San Jose as its headquarters. | Amsterdam, the Netherlands |
| 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. | Danbi names newsrooms and television channels, podcast and radio networks, documentary and film producers, and YouTubers and independent creators as intended users. |
| Product | Content Discovery searches images, video, and spoken dialogue using natural-language queries. | Danbi indexes video so teams can search it in plain English and AI agents can query it through MCP. |
| Purpose | Content Discovery searches image, video, and spoken dialogue libraries using natural-language queries. | Danbi indexes video archives so teams can search for moments in plain English and AI agents can query them through MCP. |
| Support | Coactive offers product demonstrations, documentation for its APIs and SDKs, and a support contact route. | The site invites prospective customers to contact Danbi for a conversation and a precise archive quote. |
Plans
Danbi
- Free recording trialFree
- Danbi archive indexingPriced on request
- Prepaid recording hoursPriced on request
In their own words
Coactive Content Discovery
Coactive Content Discovery searches large image, video, and spoken-dialogue libraries with natural-language queries. Its Agentic Discovery can combine visual scenes, spoken dialogue, environmental audio, recognized faces, and structured metadata in one search. Users can submit text, an image, or both; reference images can find similar content, related scenes, and near-duplicates. Transcript search handles semantic concepts and exact phrases, while audio search can locate non-speech sounds independently of visuals. Searchers can exclude unwanted content, with those constraints retained through follow-up queries and drill-downs. Video results can be narrowed to ranked shots shown as timestamped moments. The REST API includes text-to-image, text-to-keyframe, reverse-image, transcript, person-identity, and video shot-drill-down searches. Content is processed during ingestion so visual, transcript, and metadata signals remain searchable without reprocessing. Coactive documents organization-level SSO through SAML 2.0 or OpenID Connect, including Okta, Microsoft Entra ID, and Google Workspace. The platform is offered through web and API access, with pricing available on request.
Danbi
Danbi is an API for indexing video archives so teams can search for moments in plain English and AI agents can query the archive through MCP. Its index can structure faces, spoken words, actions, objects, on-screen text, and timecodes. Searches return exact moments that can be played, cited, exported, or shared, with subtitles and retention listed for the archive product. Danbi can run beside a media asset management system: that system supports human catalog browsing while Danbi handles AI-assisted retrieval and agents. Deployment uses the customer’s own hardware and infrastructure by default, and indexed results remain on infrastructure the customer controls. Selected fragments that benefit from third-party models may be sent out. The free recording trial processes files on Danbi’s hardware, accepts recordings up to 90 minutes and 2 GB, and deletes them two hours after they are ready. Danbi offers visual, audio, and multimodal search.