Upload up to 10 PDFs or notes (20 on Laureate) and choose the Manim Math Animation video mode. Scholarly matches the concepts in your source to vetted Manim scenes — derivatives, integrals, function transforms, equation derivations, vector fields, and the Pythagorean theorem — and renders a narrated, chaptered video in about 10 to 25 minutes; topics that need a different visual continue through a flexible math renderer instead of failing. The Free plan includes one lifetime AI Creation Credit at 720p with a fixed 2-minute length; paid plans add 1080p, watermark removal, MP4 download, and a target length up to 45 minutes.
A static page can show you that the derivative is the limit of a difference quotient. It cannot show the secant line sliding toward the tangent as Δx shrinks. Animation makes the limit a thing you watch happen, and that is the difference between memorizing a definition and understanding it.
This mode is deliberately strict. The planner only uses scenes that are known to render correctly, and it refuses to force a history essay or a verbal definition into fake algebra. If your source does not contain a plottable relationship, the video says so rather than inventing one. When the topic is real mathematics that the vetted scenes do not cover, the flexible math renderer takes over inside the same request.
Because the scenes are grounded in your own notes, the notation, the example functions, and the order of steps match what your course uses. Pair the video with the built-in flashcards or a quiz to move from watching the derivation to reproducing it yourself — which is what the exam asks for.
Engineering, finance, and data teams onboard people onto formulas all the time — discount rates, signal transforms, gradient descent, load calculations. An animated derivation explains the reasoning once, clearly, and can be rewatched by every new hire. Pair this mode with the training video generator for the rest of your curriculum, or see Scholarly for Teams for shared workspaces and pooled credits.
