Video Parser
Analyzes and queries video content using AI vision models and natural language through the Model Context Protocol.
About
Video Parser is a sophisticated system designed for deep video content analysis. Leveraging AI vision models and the Model Context Protocol (MCP), it enables users to process, dissect, and retrieve information from video clips through natural language queries. It offers features like AI-powered frame analysis, audio transcription, and intelligent scene detection, all integrated with conversational AI to provide contextual understanding and searchable access to your video archives.
Key Features
- AI-Powered Video Analysis using vision LLMs
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- Chat Integration for conversational queries with video context
- Intelligent Scene Detection for efficient frame extraction
- Audio Transcription for searchable content
- Natural Language and Time/Location-Based Video Queries
Use Cases
- Analyzing specific moments or events within a video for detailed insights
- Searching video archives using conversational language (e.g., "Find videos with cars")
- Summarizing video content based on specific times or locations (e.g., "What happened at the garage yesterday?")
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