Twelve Labs
Twelve Labs offers AI‑driven video understanding that can search, analyze, moderate, personalize and edit video content. It serves developers, businesses and enterprises through API and Oracle integrations.
About this tool
The platform processes video inputs to generate semantic search results, turning visual data into searchable concepts. It also extracts analytical data from video streams, enabling deeper insight into content performance and characteristics.
Beyond search and analysis, Twelve Labs can review content for policy compliance, recommend videos tailored to individual users, and apply AI‑based enhancements to edit footage. These capabilities are exposed through an API and can be linked with Oracle services.
What you can do
Semantic Video Search
Transforms raw video into searchable concepts, allowing queries that return relevant video segments based on meaning rather than simple metadata.
AI‑Powered Video Analysis
Extracts structured data from video, such as objects, actions, and scene changes, providing a data layer that can be used for reporting or downstream automation.
Automated Content Moderation
Reviews video material against predefined guidelines and produces an approval decision, helping platforms enforce policy without manual review.
Who is it for?
- A media company indexes its archive so journalists can locate specific scenes across thousands of hours of footage using natural‑language queries.
- An e‑learning platform analyzes recorded lessons to tag key concepts, then recommends related videos to learners based on their progress and interests.
- A social network applies automated moderation to user‑uploaded videos, reducing the time needed for human reviewers while maintaining compliance standards.
Before you choose
What data residency or privacy policies apply when video content is processed through the API?
How does the platform handle large video files in terms of latency and throughput, especially for real‑time editing scenarios?
Frequently asked questions
Can the video search handle multiple languages in the query?
The system interprets the semantic meaning of queries, but language support depends on the underlying language models. Verify which languages are currently recognized before deployment.
Is there a way to customize the moderation rules for specific brand policies?
Moderation can be configured with custom rule sets, allowing organizations to define the criteria that trigger approval or rejection of video content.
How does the personalized recommendation feature obtain user preferences?
Recommendations are generated from interaction data such as watch history and explicit feedback; the platform can be fed with additional signals to refine personalization.
Check the official website for current features, pricing, and terms.
Similar tools
Kailua Labs
VideoKailua Labs provides a multimodal search API for building discovery experiences across text and media, using natural-language queries and search indexes.
Speak
VideoSpeak is a speech‑analysis platform that turns recorded audio into searchable text, extracts actionable insights, visualizes data trends, and can reproduce a speaker's voice for consistent audio output.
Hive
WritingHive provides AI‑driven content moderation for developers and enterprises. It analyses visual text, detects policy‑violating media, translates multilingual posts, and supplies insight for sponsorship decisions.
One
Image & DesignOne delivers a single environment where multiple content types—text, audio, video, language strings, and raw data—can be submitted for automated handling.
FileGPT
VideoIt lets users chat about file contents, extract structured data from text, search across collections, and analyse audio recordings, all through natural language interactions.
Papercup
VideoPapercup provides AI‑driven video translation services that turn original footage into localized versions.