motion-from-transcript

To turn a transcript into a motion-design video, this pipeline parses the text, generates a JSON scenario, creates AI visuals, builds a TSX animation, and renders the final MP4 automatically. You just need to provide the video name and transcription.

Yes, the rendering pipeline is template-aware. It detects optional design templates and applies the corresponding visual data; if no template is found, it automatically falls back to a default design for the motion-design video.

The generated scenario emphasizes visual-first storytelling by structuring the content into 3 to 5 scenes, such as hook scenes, data visuals, and calls to action, ensuring at least 2 visual elements per scene.

No, you do not need to manually separate visual elements. The pipeline automatically orchestrates scenario creation, AI image generation, and TSX animation construction directly from the raw transcript or subtitle input.

The automated scenario generation is limited to producing 3 to 5 scenes per video. It requires raw transcripts or subtitles as input and relies on default designs if a specific visual template is not detected.

Yes, the pipeline works with raw subtitles. It converts them into a complete motion-design video by generating a JSON scenario, AI visuals, and a TSX animation, ultimately rendering an MP4 file end-to-end.