Danbi
Danbi: A privacy-focused archive search tool for organizations that keep video on their own hardware. Ranked #21 of 24 in AI Video Search Tools by our editors (6.7/10); pricing: Pricing on request; best for privacy-focused archives with AI-agent access.
At a glance
- Editor score6.7 / 10
- PricingPricing on request
- Best forPrivacy-focused archives with AI-agent access
- Visual searchYes
- Facts checked21 Sep 2026
Where it wins
- Searches faces, speech, actions, objects, and timecodes
- Returns playable, citable, and exportable video moments
- Connects archives to AI agents through MCP and supports x402 payments
Where it doesn't
- Self-hosted deployment requires customer-controlled hardware
- Contact-sales pricing makes immediate budget comparison harder
- Pricing varies with archive size, content mix, and third-party model use
Our verdict on Danbi
Danbi is an on-premises AI video search tool for organizations that need to index and search archives on their own hardware. It is positioned for newsrooms, television channels, podcast and radio networks, documentary and film producers, and independent creators. Natural-language queries can search across faces, spoken words, actions, objects, and timecodes, while results are returned as playable, citable, and exportable moments. The product is also designed for archives that need to remain on customer-controlled infrastructure.
Its main distinction is the breadth of archive search. Danbi combines visual, audio, and multimodal retrieval rather than limiting queries to one type of metadata. Structured extraction covers faces, spoken words, actions, objects, and timecodes, giving teams several ways to locate relevant footage. The results format is practical for editorial and production workflows because moments can be played, cited, and exported. That combination suits organizations managing substantial video libraries and looking for more than simple keyword lookup.
Danbi also extends beyond a standalone search interface through MCP, which exposes archives to AI agents. x402 support handles payments for AI access, making the product relevant to teams building agent-based archive workflows. Pricing is contact-sales: the quote depends on archive size, content mix, and the share of content processed through third-party models. Organizations that prioritize infrastructure control and agent access should consider Danbi; teams seeking a hosted service with transparent, self-serve pricing or less infrastructure responsibility should look elsewhere.
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Danbi pricing
Danbi fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Visual search | Yes |
| Audio search | Yes |
| Multimodal search | Yes |
| Indexed video hours | Not verified |
| API access | Not verified |
| Deployment | Self-hosted |
| Support | |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 2 integrations: MCP, x402 |
| Pricing | Pricing on request |
| Website | danbi.ai |
| Facts checked | 21 Sep 2026 |
Danbi integrations
Danbi lists 2 integrations on its own site.
- MCP
- x402
Alternatives to Danbi
- Twelve LabsA developer-focused API for multimodal video search, analysis, and embeddings.9.4
- Moments LabA multimodal search and workflow platform for complex video archives.9.2
- Coactive Content DiscoveryAn API-first search layer for finding precise moments across multimodal media libraries.9.0
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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