

AI Video Starting Kit
Overview :
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.
Target Users :
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.
Use Cases
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.
Features
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, and TypeScript support.
No cloud database required: Use IndexedDB for local storage in the browser.
File upload support: Implement file upload functionality through UploadThing.
Quick startup: Provide detailed development guides and pre-built UI components.
Simple deployment: Support rapid deployment through Vercel.
How to Use
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.
4. Start the development server: Run `npm run dev`, `yarn dev`, or `pnpm dev` to launch the development server.
5. Open your browser and go to `http://localhost:3000` to view the application.
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