What problem does it solve?
Automates the tedious work of turning interview subtitles into a polished, visually engaging video by automatically analyzing transcripts and proposing design-driven effects for approval before rendering.
Core Features & Use Cases
- AI analysis of subtitles to suggest components such as lower thirds, chapter titles, fancy text, term cards, quotes, data animations, bullet lists, and social bars.
- Supports four visual themes (Notion, Cyberpunk, Apple, Aurora) to match branding and mood.
- Workflow: analyze subtitles, present a Markdown-style proposal for user approval, then render the final video via a browser-based (Playwright) or PIL renderer.
- Renders with two backends (Browser for high-quality output, PIL for fast fallback) and composes per-component frames into a final video with MoviePy.
Quick Start
Run the CLI with a video file and its subtitles to generate a configured, stylized output video.