Deploy AI Video Starter Kit
Build and deploy AI video apps with multiple AI models in minutes.
video-starter-kit
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Deploy and Host AI Video Starter Kit on Railway
AI Video Starter Kit is a production-ready template for building AI-powered video applications with Next.js, Remotion, and fal.ai. It provides browser-native video processing, AI video generation, media composition, voiceover support, and reusable UI components, making it an excellent foundation for developers building modern AI video creation tools.

About Hosting AI Video Starter Kit
Hosting AI Video Starter Kit on Railway allows you to deploy the included Next.js application without managing servers or infrastructure. Railway automatically builds the application from the repository's Dockerfile (when present) or standard Node.js build process and provides managed networking with HTTPS-enabled public domains. The application primarily performs AI-powered video generation through the fal.ai API while storing browser-side project data in IndexedDB, eliminating the need for a traditional database. Optional integrations such as UploadThing for file uploads and Upstash Redis for shareable links can be configured through Railway Variables. Railway also makes it easy to scale the application, manage environment variables, and connect additional services as your workload grows.
Common Use Cases
- AI-powered video generation and editing applications
- Browser-based video composition and media production tools
- AI content creation platforms with voiceover and multi-clip workflows
Dependencies for AI Video Starter Kit Hosting
| Dependency | Required | Purpose |
|---|---|---|
| fal.ai API | Yes | AI video generation and media processing |
| UploadThing | Optional | File upload support |
| Upstash Redis | Optional | Shareable video links and metadata storage |
Deployment Dependencies
| Resource | Link |
|---|---|
| Official GitHub Repository | https://github.com/iqbalexperience/video-starter-kit |
| fal.ai | https://fal.ai |
| fal.ai API Keys | https://fal.ai/dashboard/keys |
| UploadThing | https://uploadthing.com |
| Upstash | https://upstash.com |
Implementation Details
Docker
If the repository includes a Dockerfile, Railway automatically builds and deploys the application. No additional Docker configuration is required.
Public Networking
| Setting | Value |
|---|---|
| Proxy Type | HTTP Proxy |
| Target Port | 8080 |
Environment Variables
| Variable | Required | Description |
|---|---|---|
FAL_KEY | Yes | API key used to access fal.ai video generation models. |
UPLOADTHING_TOKEN | No | UploadThing API token for enabling file uploads. |
KV_URL | No | Upstash Redis connection URL used for sharing functionality. |
KV_REST_API_READ_ONLY_TOKEN | No | Upstash read-only REST API token. |
KV_REST_API_TOKEN | No | Upstash REST API token. |
KV_REST_API_URL | No | Upstash REST API endpoint. |
Example Railway Variables configuration:
FAL_KEY=your_fal_api_key
UPLOADTHING_TOKEN=your_uploadthing_token
KV_URL=your_upstash_url
KV_REST_API_READ_ONLY_TOKEN=your_read_only_token
KV_REST_API_TOKEN=your_rest_api_token
KV_REST_API_URL=your_rest_api_url
Obtain:
FAL_KEYfrom the fal.ai dashboard.UPLOADTHING_TOKENfrom your UploadThing project.- Upstash variables from your Upstash Redis database.
Persistent Storage
No Railway Volume is required.
The application stores user project data in the browser using IndexedDB. Server-side persistent storage is not required unless you customize the application to store assets outside the browser.
Database
A traditional SQL or NoSQL database is not required.
If you want to enable the sharing functionality, provision an Upstash Redis database and configure the required environment variables in Railway.
Build & Start
No custom build or start commands are required.
Railway automatically installs dependencies, builds the application, and starts it using the project's configuration.
Accessing the Application
After deployment:
- Open your Railway service.
- Navigate to Settings → Networking.
- Generate a Railway Domain.
- Open the generated URL to access the application.
No default username or password is documented. The application is ready to use after deployment once the required environment variables have been been configured.
Why Deploy AI Video Starter Kit on Railway?
Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.
By deploying AI Video Starter Kit on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.
Template Content
video-starter-kit
iqbalexperience/video-starter-kit