Introduction
What is TL;DW?
TL;DW is a state-of-the-art AI model purpose-built to understand video just like humans. Our API enables developers to build AI-native, video-based applications, analytics, and hardware integrations.
Key Features
Semantic Video Embedding Generation: Capture every contextual relationship in a video, handing you vector representations that power anything from analytics, recommendations, or even autonomous task execution.
Natural Language Moment Search: Pinpoint the exact second any event happened, even if you’re searching through a million hours of footage.
Video-to-Text: Convert video into text with dynamic summaries, descriptive captions, and Q&A capabilities. Complete with automatic scene highlighting and characterization.
Universal Metadata Tagging: Detect and categorize objects, people, actions, sounds, and text. Customize tags to classify entire videos or drill down to individual scenes, all automatically out of the box.
Fine-tuning: For clients that need specialized domain understanding, our team will work with you to fine-tune a multi-modal pipeline that meets your requirements.
Speed: Receive your results within milliseconds, even if you’re querying a million hours of video
Scalability: Effortlessly scale with our production-grade cloud-native distributed infrastructure that can process thousands of concurrent requests.
Use Cases
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Video-RAG Pipelines: TL;DW transforms video content into semantic embeddings that integrate with existing RAG architectures, enabling systems that reason across text and video simultaneously
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Media Production and Management: Production studios and broadcasters use TL;DW to quickly find specific scenes among decades of video archives, eliminating manual search time.
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Security: Teams can search across distributed camera networks using natural language queries like “person tailgating through the secure entrance,” enabling proactive threat mitigation at scale.
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Online Education: Faculty members save time with preparation time and improve student outcomes through better content accessibility.
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