ツール

Engine for math and explainer animations in Python (Community Edition, ManimCE): write scenes and render them to video with the manim command, letting agents create teaching and science animations. On macOS install cairo and pkg-config first; formulas need LaTeX.

Rewrites an article or script as narration, then builds a click-through 16:9 web presentation you can screen-record into an explainer video, with optional synthesized voiceover. Good for lessons, YouTube tutorials and product walkthroughs. Needs Node.js; voiceover needs a MiniMax or OpenAI key.

Turns SRT subtitles into a hand-drawn whiteboard animation on warm paper that follows the narration, exported as MP4, pausing for approval at storyboard, line art and annotation steps. Good for lesson explainers. Needs Python; line art from an image-capable agent or your own.

Turns a topic or article into a narrated explainer video in English or Chinese: research, script, voiceover, storyboard and per-shot animation, with subtitles and chapter cards. Needs Node.js, ffmpeg and Python; takes about 1-3 hours depending on length. Free for non-commercial use only.

From a single topic, the agent writes a storyboard, generates paper-cutout collage visuals, motion, narration, music and subtitles, and assembles a Vox-style explainer or ad with ffmpeg, checking with you on storyboard and style. Needs a prepaid Atlas Cloud API key, ffmpeg and Python.

Turns secondary-school math and science problems into teaching materials: interactive geometry solution pages, 3D molecular views of chemical reactions, and math explainer videos with Chinese voiceover and bilingual subtitles (needs a Zhipu GLM-TTS key). Requires Python sympy.

Breaks a rough explanation idea into a scene-by-scene storyboard, then writes animation code following best practices for Manim Community or 3Blue1Brown's ManimGL, for math and physics explainers in class demos and educational videos. Needs Python, FFmpeg and LaTeX installed locally.

Turns Manim animations into step-through slide decks: mark slide breaks in scene code, render, then present with manim-slides or export to HTML, PDF or PPTX, for math and science classes and talks. Scenes are Python (agents can write them); needs Manim, plus LaTeX for formulas.

Write a script, speakers and visuals in MulmoScript (JSON or YAML) and the mulmo command generates narration and images and assembles a video, podcast, slide deck or PDF, for explainer videos. Needs Node.js, FFmpeg and an OpenAI API key; other providers optional.

Describe the video you want and the agent builds a reproducible edit project: footage, storyboard, bilingual subtitles, transitions, intro and outro, rendering and QA. Needs Node.js and ffmpeg; AI voice and assets need ListenHub. Science mode uses the author's voice and outro by default.

Official ListenHub skills: agents turn a topic, article or link into podcasts, explainer videos and slides, and can also do voiceovers, voice cloning, background music and image generation. Needs a ListenHub account (free credits included) and the listenhub CLI.