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Transform research papers into visual stories

ArXivisual.mp4

arXivisual Landing Page

arXivisual Manim

How It Works

  1. Ingest: Paste any arXiv paper URL and watch as it's decomposed into digestible sections
  2. Analyze: AI agents analyze each section to identify key concepts and visual opportunities
  3. Generate: Multi-agent pipeline creates 3Blue1Brown-style Manim animations for complex ideas
  4. Validate: Four-stage quality gates ensure syntactic correctness, spatial coherence, and runtime stability
  5. Experience: Read through an interactive scrollytelling interface with embedded animated visualizations

Quick Start

Prerequisites

  • Node.js 18+
  • Python 3.11+
  • FFmpeg, Cairo, Pango (for Manim)
  • API keys for Anthropic Claude, ElevenLabs, Dedalus Labs (free at signup)

Frontend Setup

cd frontend
npm install
npm run dev

Backend Setup

cd backend
cp .env.example .env          # Add your API keys
uv sync
uv run uvicorn main:app --reload --host 0.0.0.0 --port 8000

Inspiration

Research papers arrive as monoliths — dense, opaque, intimidating. Within them lies a mosaic of brilliant ideas waiting to be seen.

arXivisual transforms fragments of academic text into animated visual explanations, making complex research accessible to everyone.

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  • Python 67.6%
  • TypeScript 30.7%
  • Other 1.7%