AutoReel AI 🎬

Status: Draft / In Development
Version: 1.0

AutoReel AI is a fully automated, "set-and-forget" SaaS tool designed to revolutionize content distribution. It fetches short-form video content from a designated Google Drive folder, uses AI to analyze and generate viral metadata, processes the video with watermarks, and automatically publishes it to YouTube Shorts and Instagram Reels.

🚀 Key Features

• Google Drive Integration: Automatically scans monitored folders for new video content.
• AI-Powered Analysis: Utilizes Google Gemini 1.5 Flash to analyze video visuals and audio, creating viral titles, SEO-optimized descriptions, and engaging captions with hashtags.
• Automated Video Processing: Adds custom watermarks/logos and handles format compatibility using FFmpeg via Trigger.dev background jobs.
• Multi-Platform Publishing: Automatically uploads content to:
  • YouTube Shorts
  • Instagram Reels
• Dashboard & Analytics: Track video status, publishing history, and link accounts via a responsive Next.js dashboard.

🛠 Tech Stack

• Frontend: Next.js 15 (App Router), TailwindCSS, Shadcn UI
• Backend & API: Next.js Server Components & API Routes
• Database: Supabase (PostgreSQL)
• Background Jobs: Trigger.dev (for long-running video processing)
• AI Engine: Google Gemini 1.5 Flash
• Video Processing: Fluent-ffmpeg
• Authentication: OAuth 2.0 (Google, Facebook/Instagram)

🏎️ Getting Started

Prerequisites

Ensure you have the following installed:

• Node.js (v18+)
• npm, yarn, pnpm, or bun

You will also need:

• A Supabase project (Database & Storage)
• A Trigger.dev account (for background jobs)
• A Google Cloud Console project (for Drive & YouTube APIs)
• A Meta for Developers app (for Instagram Graph API)
• A Google AI Studio API Key (for Gemini)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/autoreel-ai.git
   cd autoreel-ai

2. Install dependencies:

   npm install

Environment Setup

Create a .env.local file in the root directory and configure the following variables:

# Supabase
NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
SUPABASE_SERVICE_ROLE_KEY=your_service_role_key

# Google (Drive, YouTube, Auth)
GOOGLE_CLIENT_ID=your_google_client_id
GOOGLE_CLIENT_SECRET=your_google_client_secret
GOOGLE_REFRESH_TOKEN=your_refresh_token # For offline access if needed

# Facebook (Instagram)
FACEBOOK_CLIENT_ID=your_facebook_client_id
FACEBOOK_CLIENT_SECRET=your_facebook_client_secret
FACEBOOK_ACCESS_TOKEN=your_access_token

# Trigger.dev (Background Jobs)
TRIGGER_API_KEY=your_trigger_dev_api_key
TRIGGER_PROJECT_ID=your_trigger_project_id

# Gemini AI
GEMINI_API_KEY=your_gemini_api_key

Running the Application

1. Start the Next.js development server:

   npm run dev

   The app will be available at http://localhost:3000.

2. Start the Trigger.dev CLI (in a separate terminal): To relay local background jobs:

   npx trigger.dev@latest dev

🗄️ Database Schema

The project uses two main tables in Supabase:

• accounts: Stores OAuth tokens for connected services (Google Drive, YouTube, Instagram).
• videos: Tracks the lifecycle of each video, including:
  • Source attributes (Drive link, file name)
  • AI-generated metadata (Title, Description, Caption)
  • Processing status (pending, processing, published, failed)
  • Public URLs for published content

📜 License

This project is licensed under the MIT License.