manim-video

Manim video production is automated by orchestrating a plan.md, generating script.py, rendering scenes, and stitching outputs into a final video. This pipeline handles creative planning, code generation, and rendering to reduce manual overhead.

To render Manim explainer videos, you need a stable environment with Manim Community Edition, LaTeX, and ffmpeg installed. The pipeline enforces a standard workflow to produce and stitch scenes into a cohesive final video.

Yes, this pipeline supports algorithm visualizations and architecture diagrams. It also handles concept explainers, equation derivations, and data stories by applying consistent templates across all scenes.

Scene stitching combines multiple rendered Manim outputs into a single final explainer video using ffmpeg. The pipeline progresses from planning to code generation, rendering, and stitching, with optional audio muxing.

The best way to plan a Manim explainer video is using a plan.md file to outline the structure before generating script.py. This enforces a reproducible pipeline with style guidelines to maintain a cohesive visual language.

Manim rendering fails without LaTeX or ffmpeg because these are required dependencies for processing equations and stitching video outputs. A stable environment with Manim CE, LaTeX, and ffmpeg is enforced to complete the pipeline.