A video search API lets software search inside video content with a natural-language query, such as "the presenter explains pricing", and returns the matching moments with a video ID, a start time, an end time, and a confidence score.
This is the planned API design. Video Context is in private beta, and beta partners help set the final design of each endpoint.
Search inside the video
File search finds a file by its name or its tags. Video search finds the moment. You ask a question in plain language, and the API returns start and end times.
How it works
You add videos to an index.
Video Context extracts scenes, speech, on-screen text, and visual embeddings.
You send a natural-language query.
The API returns ranked moments with timestamps and a confidence score.
Where teams use it
Podcast and interview archives. Find every clip about one topic.
AI video editors. Find the best moments, then cut them automatically. See auto-edit.
Agents. Give an agent a tool that can answer “where in this video does X happen?”
✦ FAQs
Frequently asked questions
Common questions about semantic video search with Video Context.
What is semantic video search?+
Semantic video search finds moments in video by meaning, not by exact keywords. A query such as "someone opens a laptop" matches the visual action even if nobody says those words.
Does video search use the transcript only?+
No. Video Context indexes speech, visual content, and on-screen text together, so a query can match what people say, what the camera shows, or both.
Is the Video Context API available now?+
Video Context is in private beta. Book a call with the team to get access.
Give your agent eyes on video.
Private beta for teams that build video editors, agents, and catalogs. Book 30 minutes with the founders.