Coactive Content Discovery vs QMedia
Coactive Content Discovery
coactive.aiQMedia
github.comSide by side
| Figure | Coactive Content Discovery | QMedia |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 1 |
| Spec score · AI Video Search Tools | 7.7 (#13) | 8.4 (#7) |
| 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. | The standalone multimodal model service can provide image and text encoding, video transcription, and image OCR through an API. |
| Integration | Mimir integrates Coactive conversational search into newsroom video workflows and lets editors generate editing timelines from selected moments. | The RAG service supports Google content search, which the installation guide says is configurable and disabled by default. |
| Product | Content Discovery searches images, video, and spoken dialogue using natural-language queries. | QMedia is an open-source multimedia AI content search engine aimed at content creators. |
Plans
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.
QMedia
QMedia is an open-source multimedia AI search engine for content creators. It searches and extracts information from text, images, and short videos, combining those formats in a multimodal retrieval and question-answering system. Its web service displays content and sources as cards with image, text, and short-video breakdowns. The project can run locally for offline search and question answering over private data. The web service, RAG search and Q&A service, and image, text, and video model service can be deployed separately. The standalone model service offers an API for image and text encoding, video transcription, and image OCR. Documented model options include CLIP, BGE, Qanything OCR, LLaVA, and Faster Whisper, with local Ollama model switching. Google content search is configurable but disabled by default, as is video service use in the RAG server configuration. The RAG service depends on a separate mm_server service. QMedia is self-hosted, available through its web service, and licensed under MIT.