rajshah6

rajshah6 / arXivisual

Public

🎊 TartanHacks '26 Winner

arxivisual.org
144
24
100% credibility
Found Feb 18, 2026 at 102 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

arXivisual turns dense arXiv research papers into engaging visual stories with AI-generated animations and interactive scrolling.

How It Works

1
📰 Find a research paper

You discover arXivisual and paste the web address of any arXiv paper you're curious about.

2
➤ Submit the paper

Hit go and relax while the system grabs the paper and splits it into easy-to-follow sections.

3
💡 Spot visual ideas

Smart helpers scan each part and pick the trickiest concepts that shine best with animations.

4
🎬 Build animations

Creative guides plan scenes and craft smooth videos that explain ideas like a friendly teacher.

5
🔊 Add voice and polish

Clear narration voices over the visuals, with checks to ensure everything flows perfectly.

✨ Enjoy the story

Scroll through your paper transformed into an interactive adventure where hard ideas become simple and fun.

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Star Growth

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AI-Generated Review

What is arXivisual?

arXivisual turns dense arXiv papers into interactive visual stories. Paste any arXiv URL, and it parses the paper, spots key concepts ripe for animation, then generates 3Blue1Brown-style Manim videos with AI voiceovers synced to the visuals. Built in Python with a Next.js frontend, you get a scrollytelling page embedding the animations right next to paper sections—no manual rendering needed.

Why is it gaining traction?

As a TartanHacks winner, arXivisual stands out by automating the full pipeline from paper ingestion to validated animations, skipping the usual trial-and-error with Manim code. Developers love the Docker Compose local setup and Render deploys, plus quality gates that ensure videos actually render without crashes. It's the quickest way to make research papers accessible without building your own AI viz stack.

Who should use this?

ML researchers demoing papers at conferences, educators creating explainer videos from new arXiv preprints, or dev teams prototyping interactive docs. Perfect for anyone tired of static PDFs who wants embeddable animations for blogs, slides, or apps.

Verdict

Grab it if you're into arXiv papers and Manim—solid hackathon win with working demos, but at 1.0% credibility and 88 stars, treat as early prototype: docs are setup-focused, tests cover pipeline basics. Fork and harden for production.

(187 words)

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