Show HN: 30min video analysis for $0.003 via frame-tiling and Vision API (github.com)

A groundbreaking approach to video analysis has been introduced, dramatically reducing costs and enhancing efficiency. By compressing a 10-minute video into a single 48-frame grid image, the VAM Seek method condenses the analysis to just one API call instead of the traditional 600. This innovation allows developers to analyze videos for approximately $0.003, compared to around $1.80 using conventional methods. The system utilizes client-side Canvas API to extract frames without requiring cloud uploads or extensive processing, making it a streamlined solution for video analysis. This development is significant for the AI/ML community as it paves the way for more accessible and affordable video analysis tools. The dual grid architecture permits users to browse a user-friendly grid while the AI conducts analysis on a fixed grid, enhancing user interaction and providing a robust framework for interpreting video content. The system can also integrate audio analysis with future implementations of transcript capabilities, allowing AI to pull insights from both visual and spoken content. With the potential for seamless local processing and secure API key management, VAM Seek stands to revolutionize how users interact with video data, offering precise timestamp and coordinate references that greatly enhance the reliability of AI responses.