VideoDB
Real-time video infrastructure that turns video into searchable context for AI agents
Paid - No public free tier listed — likely usage-based or enterprise pricing. Contact sales for pricing and plans.
About VideoDB
VideoDB provides real-time infrastructure to ingest files, live streams, and camera feeds and turn them into persistent, searchable context for AI applications and agents. It integrates storage (S3, GCS), encoding (ffmpeg, HLS), AI pipelines (ASR, OCR, VLMs, embeddings) and vector search so agents can retrieve, reason over, and act on video-backed context. Designed for developers building real-time, agent-driven video workflows with hooks for metadata, webhooks, and custom orchestration.
Key Features
- Ingest files, live streams, and camera feeds into a persistent searchable store
- Built-in AI stacking: ASR, OCR, VLMs, embeddings and vector search for retrieval
- Integrations with storage (S3/GCS), encoding (ffmpeg/HLS), CDNs and playback
- Real-time context retrieval for AI agents with webhooks and custom orchestration
- Designed to replace brittle custom pipelines with an integrated video→AI infrastructure
Who is this for?
Developers and engineering teams building AI applications or agents that need real-time, searchable video context (startups, enterprise teams integrating video+AI).
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PaidNo public free tier listed — likely usage-based or enterprise pricing. Contact sales for pricing and plans.
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