Show HN: A Pi Harness for Color Correcting Multi-Clip Footage (github.com)

A new AI-powered color grading toolkit for video editors, named Pi Harness, has been unveiled, enabling users to utilize a Raspberry Pi to control FFmpeg via a large language model (LLM). This innovative system streamlines the color correction process by allowing users to interact with the Pi agent in natural language. The agent can analyze multi-clip footage specifically tailored for Sony S-Log workflows but is applicable to any format compatible with FFmpeg. Key features include automatic scene detection, shot matching, and rendering scopes for visual analysis, all of which enhance editing efficiency. The significance of Pi Harness lies in its ability to automate complex grading workflows while minimizing the technical knowledge required for video editing. The iterative process of analyze → correct → re-analyze → refine allows for precise adjustments to exposure, contrast, and color balance, ensuring a cohesive visual outcome across clips. With built-in support for exporting to Final Cut Pro and the ability to generate reports on visual consistency metrics, this toolkit empowers both amateur and professional editors to achieve high-quality results quickly, reflecting a growing trend in the AI/ML community towards user-friendly tools that harness the power of machine learning for creative fields.