Show HN: Automated video generation pipeline using ClaudeCode in 3 days (github.com)

A new automated video generation pipeline has been developed that can transform technical documents, such as research papers and articles, into engaging explainer videos within just three days. This innovative project utilizes ClaudeCode for content parsing, automatic script creation, and incorporates advanced tools like ElevenLabs for text-to-speech and Meta's MusicGen for AI-generated background music. It features a comprehensive structure, enabling the parsing of Markdown documents with code blocks and equations and offers a Command-Line Interface (CLI) that allows for easy project management and iteration through various stages of the video production process. This development is significant for the AI/ML community as it streamlines the creation of educational and highly technical content, enabling wider accessibility and understanding of complex subjects. By automating extensive parts of the video production pipeline— from content analysis to sound design—this project showcases the potential for AI to enhance creative workflows. It leverages tools like FFmpeg for video processing, making it both a technical resource and a model for future projects that seek to merge AI capabilities with content creation, ultimately fostering greater communication and learning in science and technology.