AI Video Starting Kit

An open-source project demonstrating AI video generation models in the browser.

CommonProductVideoVideo GenerationBrowser

The video-starter-kit is a powerful open-source toolkit for building AI-based video applications. Built on Next.js, Remotion, and fal.ai, it simplifies the complexity of using AI video models in the browser. This toolkit supports various advanced video processing features such as multi-clip video composition, audio track integration, and voice support, while providing developer-friendly tools like metadata encoding and video processing pipelines. It is suitable for developers and creators who require efficient video generation and processing.

Native browser video processing: Seamlessly handle and compose videos directly in the browser.
AI model integration: Access cutting-edge video generation models such as Minimax
Hunyuan
and LTX.
Advanced media features: Support for multi-clip video composition
audio track integration
voiceover support
and processing of long videos.
Developer tools: Offer metadata encoding
video processing pipelines

\This toolkit is designed for developers and content creators who need to efficiently handle video processing in the browser. It provides robust technical support and a flexible development environment for teams and individuals looking to leverage AI technology to simplify the video generation workflow.\

Developers can quickly build a video editing platform using this toolkit
allowing users to generate and edit videos directly in the browser.
Content creators can utilize the toolkit to generate video content with voiceovers and background music for social media publishing.
Educational institutions can leverage this toolkit to develop video teaching tools that support multilingual voiceovers and video composition.

1. Clone the repository: Run `git clone https://github.com/fal-ai-community/video-starter-kit` and navigate into the project directory.
2. Install dependencies: Run `npm install`
`yarn install`
or `pnpm install` to install the project dependencies.
3. Configure environment variables: Run `cp .env.example .env.local` to set up environment variables.

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Monthly Visits

502571820

Bounce Rate

37.10%

Page per Visit

5.9

Visit Duration

00:06:29

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