> ## Documentation Index > Fetch the complete documentation index at: https://docs.videodb.io/llms.txt > Use this file to discover all available pages before exploring further. # Overview > Find and understand video content using natural language queries and multimodal search ## Video Search and Understanding **Turn video archives into searchable, understandable knowledge.** Find exactly what you're looking for in hours of video content using natural language queries. Extract insights from spoken words, visual content, and on-screen information. ### When to Use This * You have meeting recordings and need to find "what did the client say about the budget?" * You want to extract all clips where a specific person appears * You're building video Q\&A for your content library * You need to search across both what's spoken AND what's shown * You want to extract slides, diagrams, or on-screen content from recordings ### What You'll Build Search for specific words/phrases and auto-generate highlight reels Find all scenes where a specific person appears using face recognition Combine spoken word + visual search for comprehensive queries Search and analyze sports footage with multimodal understanding Extract slides and on-screen content from conference recordings ## How It Works ``` Upload Video → Index (Spoken + Visual) → Search → Get Timestamped Results → Play/Export ``` Every search result includes: * **Timestamps** - Exact start/end times * **Playable URLs** - Stream the matching segment instantly * **Relevance scores** - Confidence in the match * **Text evidence** - What was said/shown ## Related Documentation How semantic search works under the hood Search across your entire video library Core concepts behind video indexing Working with search results