Understand what Twelve Labs can do. Unlike simple keyword subtitle search, Twelve Labs builds a rich semantic index of your video. It understands that a clip of someone lifting a box is about “loading a delivery,” even if no one says those words. This makes searches far more flexible and accurate.

Upload and index your video. Sign in to the Twelve Labs console, create an index, and upload your video files. The platform processes audio, visual, and text signals together and assigns timestamps to every detected event.

Run natural language queries. Instead of exact keywords, type questions or descriptions like “show me when the presenter mentions the pricing page.” Twelve Labs returns matching segments with precise timestamps and confidence scores.

Build an AI video Q&A system. Use the search and Q&A endpoints to let users ask any question about the video and receive grounded answers with citations to the exact second mark. This powers everything from media archives to enterprise training.

Integrate with the API. Developers can plug Twelve Labs into their own apps using the REST API and SDKs. Whether you run media analytics, sports highlight detection, or support knowledge bases, the integration is straightforward and scalable.

Automate summaries. Generate time-stamped chapter outlines and summaries automatically. This makes long recordings scannable and helps people find the part they care about without watching everything.

By combining vision, language, and audio understanding, Twelve Labs turns video into a fully searchable and queryable asset. Start with a small index, test natural language queries, and scale up as you validate the workflow.