# Cerul

[Product intro] Cerul is a video semantic search API that gives AI Agents "vision." It closes the blind spot where traditional AI search cannot understand video content directly and no longer depends on external text glosses. By indexing speech, visual scenes, and on-screen text, it enables deep semantic match. It recognizes slides, charts, and whiteboard sketches in video and turns them into Agent-callable context. The product turns unstructured video into retrievable assets so AI can extract evidence by precise timestamps. [Features] Full-modal semantic retrieval: search across speech, visuals, and on-screen text—even when you cannot recall the exact words. High-precision location feedback: one API call returns structured results with timestamps, relevance scores, and original links. Agent-native integration: MCP protocol support and SDK interfaces for seamless Claude Code, Cursor, and other mainstream Agent frameworks. Industrial retrieval performance: average 150ms low latency for real-time indexing and query on large video libraries.

[Product intro] Cerul is a video semantic search API that gives AI Agents "vision." It closes the blind spot where traditional AI search cannot understand video content directly and no longer depends on external text glosses. By indexing speech, visual scenes, and on-screen text, it enables deep semantic match. It recognizes slides, charts, and whiteboard sketches in video and turns them into Agent-callable context. The product turns unstructured video into retrievable assets so AI can extract evidence by precise timestamps. [Features] Full-modal semantic retrieval: search across speech, visuals, and on-screen text—even when you cannot recall the exact words. High-precision location feedback: one API call returns structured results with timestamps, relevance scores, and original links. Agent-native integration: MCP protocol support and SDK interfaces for seamless Claude Code, Cursor, and other mainstream Agent frameworks. Industrial retrieval performance: average 150ms low latency for real-time indexing and query on large video libraries.

Canonical: https://uniquebase.ai/products/cerul
Stable identifier: UB-D7880
Snapshot captured: 2026-11-04T00:48:01.362Z
English updated: 2026-11-04T01:06:54.656Z

## Connected profiles

- [Cerul](/companies/cerul)

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