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? Build NextJs AI Sort Video Generator Using React.Js, Tailwind, AI, Clerk, Neon | ? Full Stack App

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Introduction

In this article, we will walk you through building a full-stack application that generates short videos using various AI technologies. This application is built from scratch using Next.js, React, Tailwind CSS, Clerk for authentication, and Neon as the PostgreSQL database. We'll cover every aspect, including generating video scripts, audio files, captions, and AI-generated images, to create stunning short videos that you can share on social media.

Overview of the Application

Once you access the application, you'll be greeted with a dashboard requiring authentication via Clerk. Users can log in using services like Facebook, Google, or by email. After logging in, users land on the dashboard where they can view videos created using the app. Upon accessing the video content, users can enjoy a beautifully integrated video player that includes automatic captions aligned with the audio.

To create a new video, users fill out a form selecting the content type (e.g., motivational quotes, historical facts, etc.), image styles (e.g., watercolor, realistic), and video duration options (30, 40, or 60 seconds). After hitting 'Generate Short Video,' users see a loading animation while the AI generates the video. Once generated, they can play and view their video on the dashboard, complete with proper captions and soundtracks.

Technologies Used

Next.js

Next.js is a popular React-based framework that provides an easy way to build server-rendered applications. It simplifies routing, server-side rendering, and provides excellent performance.

React

We use React for building dynamic user interfaces. It allows us to create reusable UI components, making the development process more efficient.

Tailwind CSS

Tailwind CSS is a utility-first CSS framework that offers a highly customizable styling approach with responsive design capabilities.

Clerk

Clerk is an authentication service that simplifies the user authentication process, supporting various login methods. Its easy integration ensures a seamless experience.

Neon

Neon is a serverless PostgreSQL database provider that lets us store user data and videos. It is easy to manage and integrates well with our application.

AI Services

We will utilize AI services to generate scripts and images. The actual AI technologies involved are Gini API for generating video scripts and Assembly AI for generating audio captions.

Firebase Storage

Used to securely store audio and video files generated within the application.

Step-by-Step Process

Setting Up the Project

  1. Create a Next.js Application
    Use the terminal to create a next.js app: 

    npx create-next-app@latest AI-short-video-generator

  2. Install Dependencies
    Install Tailwind CSS, Clerk, and other required libraries for setting up the environment.

  3. Set Up Authentication
    Integrate Clerk for user authentication, allowing users to log in using social logins or email.

  4. Create Dashboard Page
    Build a dashboard page where users can navigate through their videos.

Generating Video Scripts and Audio

The application architecture utilizes the Gini AI service to generate video scripts, while the audio files are created with Google Cloud's Text-to-Speech API. User prompts and generated content flow smoothly through the application logic.

Video Creation and AI-generated Images

Using gathered content, the video creation process is programmatically handled using Remotion, a library focused on rendering videos with React components. Every aspect—including image overlays, video player interactions, and caption synchronization—brings the final product to life.

Storing Data

Using Neon PostgreSQL, we will define schemas to store user-generated content. After generating videos, images, credits, and captions, data is stored directly into the database, allowing users to manage their videos seamlessly.

Deploy and Share the Application

Once the application is complete, deploy it using Vercel or any serverless platform to make it accessible for others to use.

Conclusion

By following the outlined process, we create an innovative AI Short Video Generator that integrates smoothly with modern technologies. This app showcases the possibilities of AI, custom user experiences, and the robust capabilities of full-stack development.

Keyword

  • Next.js
  • React
  • Tailwind CSS
  • AI
  • Clerk
  • Neon
  • Firebase
  • Gini API
  • Assembly AI
  • Remotion

FAQ

Q1: What technologies are used in building this application?
A1: The application uses Next.js, React, Tailwind CSS, Clerk for authentication, Neon for database management, and integrates various AI services for video generation.

Q2: How does authentication work in this application?
A2: Clerk handles user authentication, allowing users to log in using Facebook, Google, or email accounts.

Q3: How are video scripts and audio generated?
A3: Video scripts are generated via the Gini API, while audio files are created using Google Cloud's Text-to-Speech API.

Q4: Where is user-generated data stored?
A4: User-generated data is stored in a Neon PostgreSQL database and media files are saved in Firebase Storage.

Q5: How can users create their own videos?
A5: Users can select content types, image styles, and durations to generate short videos powered by AI.