How to Build a Dynamic Video Editor in React in 10 Minutes

You need to let your users edit videos inside your SaaS, but building a multi-track timeline from scratch feels like a six-month engineering rabbit hole. Syncing frame-accurate previews, handling keyframes, and managing asset uploads usually requires a specialized team of media engineers.

But what if you could drop a professional-grade video editor into your React app as easily as a text input? In this tutorial, we’ll show you how to use @videoflow/react-video-editor to build a fully functional, cinematic video editing suite in under ten minutes.

The Problem with Custom Video UIs

Most developers starting a video project begin by trying to wrap a standard <video> tag with custom CSS. They quickly hit the "Timeline Wall":

1. Frame Accuracy: Browsers don't naturally sync multiple video layers with 60fps precision.
2. State Management: Representing a complex video timeline in Redux or React state is notoriously difficult to keep performant.
3. Exporting: Even if the UI looks good, how do you turn that state into an actual MP4 file without a massive server bill?

VideoFlow solves this by treating the video as a portable VideoJSON document. Because the editor is built on the same core engine as our server-side and browser-side renderers, what you see in the timeline is exactly what you get in the final export.

Introducing @videoflow/react-video-editor

The @videoflow/react-video-editor package is a drop-in React component that provides a multi-track timeline, a property inspector, keyframe support, and a frame-accurate preview. It is free for individuals and small teams, making it the perfect starting point for any video automation project.

The 10-Minute Setup

First, install the necessary packages:

npm install @videoflow/core @videoflow/react-video-editor

Now, let's create a basic editor component. The editor is "controlled," meaning you pass it a video state and it notifies you of changes via an onChange callback.

import { useState } from 'react';
import { VideoEditor } from '@videoflow/react-video-editor';
import '@videoflow/react-video-editor/style.css';

const INITIAL_VIDEO = {
  name: 'New Project',
  width: 1920,
  height: 1080,
  fps: 30,
  duration: 10,
  layers: [],
};

export default function MyEditor() {
  const [video, setVideo] = useState(INITIAL_VIDEO);

  return (
    <div style={{ height: '100vh' }}>
      <VideoEditor
        video={video}
        onChange={(nextVideo) => setVideo(nextVideo)}
        onSave={(v) => console.log('Saved to DB:', v)}
        theme="night"
      />
    </div>
  );
}

With just these 25 lines of code, you have a professional dark-themed editor with a functioning timeline and preview window. You can even try this out right now in our interactive Playground.

Handling Exports and Uploads

An editor isn't much use if users can't add their own assets or export the final result. The VideoEditor component handles these through two critical props: onUpload and onExportComplete.

Asset Uploads

When a user drags an image or video onto the timeline, the editor needs to know where to store it. You provide an onUpload handler that returns a URL:

<VideoEditor
  onUpload={async (file) => {
    const url = await myS3Upload(file);
    return url; // The editor now uses this public URL for the layer source
  }}
/>

Exporting to MP4

The editor includes a built-in export modal that uses @videoflow/renderer-browser. This means your users can render high-quality MP4s directly in their browser tab without you paying for a single second of server time.

Why JSON Portability Wins

Unlike other frameworks that tie your video logic to a specific React component tree, VideoFlow uses a portable JSON schema. This is a massive advantage for LLM-driven video generation.

You can have an AI agent generate a VideoJSON document, load it into the VideoEditor for a human to make final tweaks, and then send that same JSON to @videoflow/renderer-server for batch processing in the cloud.

Closing Thoughts

Building a React video editor no longer requires a team of specialists. By leveraging the VideoFlow ecosystem, you get a production-ready UI that scales from simple social media clips to complex, data-driven video automation.

Ready to start building? Check out the full documentation for advanced customization, or dive into the source on GitHub.