Video intelligence platform and APIs for searching, analyzing, and generating embeddings from video and image collections.
Twelve Labs
Explore features, practical uses and pricing below.
Twelve Labs helps developers and organizations turn video into searchable information. Its platform can search, analyze, and embed content, with agent workflows providing another way to ask questions across a collection. The product is useful when a video library contains valuable moments that are difficult to find through filenames, manual tags, or a transcript alone.
Twelve Labs suits media teams, product developers, researchers, and organizations with substantial video collections. It is particularly useful when the search target depends on visual activity as well as spoken words. A person who only needs to transcribe one recording may find a dedicated transcription service simpler than building a video intelligence workflow.
For a training-video library, ingest a small authorized sample and ask for a scene that demonstrates a specific procedure. Inspect the returned moment against the actual footage, then test a similar request that should produce no match. Build the interface around references to source video so users can verify what they found. Expand the collection after assessing search quality, ingestion behavior, and the cost of representative queries.
Model interpretation can miss a brief event, misunderstand context, or return a moment that only partially matches the request. Embeddings and search results should therefore support navigation to source material rather than replace inspection of it. Video rights, retention, access controls, and processing costs also need attention. API versions and supported tasks can change, so implement against the current documentation for the selected model or agent.
Twelve Labs offers account-based platform access with pricing for its services. Review current ingestion, indexing, search, analysis, and storage terms before estimating a library-wide rollout. A free starting offer can help evaluate a sample, but ongoing video workloads should be budgeted using the actual duration, volume, and query pattern.
No. Its video intelligence workflows consider content beyond a transcript.
Include a way to inspect the corresponding source moment so users can confirm the match rather than relying on a summary alone.