AI video editor in the browser
GitHub Repo

AI video editor in the browser

@the_ospsPost Author

Project Description

View on GitHub

AI Video Editing in Your Browser? Videosos Makes It Happen

We've all seen AI image generators, but AI-powered video editing in the browser? That's a trickier problem. Most video tools are either heavyweight desktop applications or cloud services with complex pipelines. What if you could just drag, drop, and let an AI handle the tedious parts directly in your browser?

That's exactly what Videosos is exploring. It's an open-source project that puts a simple yet powerful AI video editor right into the browser tab you already have open.

What It Does

Videosos is a browser-based video editor with one standout feature: an integrated AI assistant. You can upload a video, and using the AI panel, you can ask it to generate a new video clip based on a text prompt. The tool then lets you trim your original footage and splice the AI-generated clip right into your timeline.

It’s not trying to be a full-blown Premiere Pro replacement. Instead, it focuses on a specific, powerful workflow: blending your existing footage with new, AI-created content seamlessly.

Why It's Cool

The clever part here is the architecture. This isn't just a thin client talking to a massive backend API. The project is built with Next.js and uses the Transformers.js library, which allows it to run some AI models directly in the browser. This means your data stays on your machine, and you get faster processing for certain tasks without a round-trip to a server.

It demonstrates a practical path forward for client-side AI media manipulation. Think about use cases like:

  • Content creators quickly generating B-roll or transition clips without leaving their editing workflow.
  • Developers prototyping how AI can be integrated into creative tools.
  • Anyone who needs to experiment with video and AI without dealing with complex software installations or cloud credits.

It’s a proof-of-concept that feels surprisingly usable. The implementation shows what's possible when you leverage modern web capabilities for computationally heavy tasks.

How to Try It

The easiest way to see it in action is to head over to the live demo. You can find it hosted on Vercel:

Live Demo

If you're the type who likes to tinker under the hood (and we know you are), you can also run it locally. The project is open source, so clone the repo and give it a spin:

git clone https://github.com/timoncool/videosos/
cd videosos
npm install
npm run dev

Open http://localhost:3000 and you're good to go. Check out the code to see how the magic works.

Final Thoughts

Videosos is one of those projects that feels like a glimpse into the near future of web-based tools. It’s not perfect—browser-based AI models have their limitations—but it’s a solid, functional experiment that proves a point. For developers, it's a fantastic codebase to learn from if you're interested in building interactive, AI-powered web applications.

It makes you wonder how long it will be before these capabilities are standard in every web-based media tool.


Follow us for more interesting projects: @githubprojects

Back to Projects
Project ID: 1983822653791326406Last updated: October 30, 2025 at 09:05 AM