QMedia
QMedia is an open-source multimedia search engine for content creators.
What QMedia is
QMedia is an open-source multimedia search engine for content creators. It searches and extracts information from text, images, and short videos, combining those formats in a multimodal system for content search and question answering. Its web service presents content and sources as cards, with breakdowns of image, text, and short-video information. The project can be deployed locally for offline search and Q&A over private data, and its web service, RAG search and Q&A service, and image, text, and video model service can be deployed separately. The standalone model service provides an API for image and text encoding, video transcription, and image OCR. Documented model options include CLIP, BGE, Qanything OCR, LLaVA, and Faster Whisper, alongside local Ollama model switching. The RAG service supports Google content search, configurable but disabled by default; video service use is also configurable and off by default in the RAG server configuration. The RAG service depends on the separate mm_server service. QMedia is licensed under MIT and is available for self-hosting and through a web service. The project links to issue reporting and community channels.
Good
- Searches text, images, and short videos.
- Supports offline search over private data.
- Standalone model service offers an API.
- Includes several documented model options.
- Licensed under MIT.
Watch out
- RAG service depends on the separate mm_server service.
- Google content search is disabled by default.
- Video service use is off by default in RAG configuration.
- No security certification or compliance status is stated.
Who it suits
QMedia suits content creators who want to search across text, images, and short videos or ask questions about that material. Local deployment may suit users handling private data who want offline search and Q&A.
Verdict
QMedia combines multimodal search and question answering with local deployment and an API service. Account for the separate mm_server dependency and the default-off Google search and video settings when planning a deployment.
Plans and prices
From QMedia's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| QMedia | Free | Open-source software · MIT license |
The facts
Each one read from QMedia's own pages, with the date it was checked.
What it does
- API
- The standalone multimodal model service can provide image and text encoding, video transcription, and image OCR through an API.checked 8 Oct 2026
- API use case
- The model server can operate independently for image and text encoding, video transcription and OCR through an API.checked 15 Oct 2026
- Changelog
- The changelog identifies version 0.1.0 and lists multimodal model deployment, API calls, Ollama, image, video and embedding models.checked 15 Oct 2026
- Content cards
- The interface presents image, text and video material as content cards containing sources and extracted breakdowns.checked 15 Oct 2026
- Content types
- It supports searching and extracting information from text, images, and short videos.checked 8 Oct 2026
- Custom results
- Search results can be tailored to the user's interests and needs.checked 15 Oct 2026
- Dependencies
- The RAG service depends on the separate mm_server service to run.checked 8 Oct 2026
- Deployment
- Its web service, RAG search and Q&A service, and image/text/video model service can be deployed separately.checked 8 Oct 2026
- Documentation
- Documentation consists of a top-level README plus separate installation and configuration guides for each service.checked 15 Oct 2026
- Frontend requirements
- The web frontend requires Node.js, pnpm, dependency installation and an environment file before running pnpm dev.checked 15 Oct 2026
- Google integration
- Google content search is supported and can be enabled through the mmrag_server configuration.checked 15 Oct 2026
- Image embeddings
- Images are embedded with a CLIP encoder.checked 15 Oct 2026
- Independent deployment
- The three services can be deployed separately according to available resources and embedded into other systems.checked 15 Oct 2026
- Installation requirements
- The model and retrieval services require separate Python 3.11 Conda environments and pip dependency installation.checked 15 Oct 2026
- Integration
- The RAG service supports Google content search, which the installation guide says is configurable and disabled by default.checked 8 Oct 2026
- Language models
- Local Ollama switching is supported, with llama3 8B and 70B models documented.checked 15 Oct 2026
- License
- The repository is released under the MIT License.checked 15 Oct 2026
- Limit: deployment complexity
- DEV.co says each service needs its own environment and that production use requires substantial infrastructure and dependency coordination.checked 15 Oct 2026
- Limit: hardware guidance
- DEV.co and SourcePulse note that hardware requirements and performance baselines for local multimodal models are not documented.checked 15 Oct 2026
- Limit: ingestion workflow
- DEV.co says initial ingestion relies on manually prepared asset files and database cleanup, with no bulk-import tooling shown.checked 15 Oct 2026
- Limit: operational readiness
- DEV.co reports that authentication, encryption, health checks, retry logic and vulnerability-disclosure procedures are not documented.checked 15 Oct 2026
- Limit: release packaging
- GitHub shows that QMedia has no published releases to pin or download.checked 15 Oct 2026
- Limit: unfinished analysis
- Hysen Labs reports that visual understanding and several short-video analysis entries are marked unfinished in the repository.checked 15 Oct 2026
- Local use
- The project says it can be deployed locally for offline search and Q&A over private data.checked 8 Oct 2026
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