BeatUploader

BeatUploader is a powerful automation tool designed to bridge the gap between music production and video distribution. It automates the entire pipeline of turning a music beat (MP3/WAV) into a high-quality YouTube video, complete with AI-generated cover art.

🎯 Project Goals

• Automate Video Creation: Convert audio files into video format using FFmpeg without manual editing.
• AI Art Integration: Use DALL-E 3 to generate cinematic, moody cover art based on the beat's title and style.
• Seamless Distribution: Upload directly to YouTube with automated descriptions, tags, and scheduling.
• Library Management: Keep track of all beats, generated covers, and YouTube status in one unified dashboard.

🚀 Key Features

• AI-Powered Covers: Generate professional music art using OpenAI DALL-E 3.
• Manual Upload Support: Bypass AI steps by uploading your own custom cover art.
• Live Progress Tracking: Real-time progress logs (via SSE) for image generation and processing.
• FFmpeg Integration: Efficient video rendering by combining audio and static cover art.
• YouTube API Integration: Automated uploads with OAuth 2.0 authorization.
• Customizable Prompts: Fine-tune AI prompts for specific music genres (Hip-hop, Trap, Dark Cinematic, etc.).

🛠 Tech Stack

• Backend: .NET 8 (ASP.NET Core Razor Pages)
• AI: OpenAI API (DALL-E 3)
• Video Processing: FFmpeg
• Frontend: Vanilla CSS & JavaScript (Modern Premium Aesthetic)
• Database: JSON-based VideoStore (No complex DB setup required)
• Communication: Server-Sent Events (SSE) for real-time UI updates

📦 Setup & Installation

Prerequisites

• .NET 8 SDK
• FFmpeg (Ensure it's in your PATH or configured in appsettings.json)
• OpenAI API Key
• Google Cloud Project with YouTube Data API v3 enabled

Getting Started

1. Clone the repository:

   git clone https://github.com/arargame/BeatUploader.git

2. Configure the app:

   • Rename BeatUploader/appsettings.Example.json to BeatUploader/appsettings.json.
   • Fill in your OpenAI:ApiKey, YouTube:ClientId, and YouTube:ClientSecret.

3. Run the application:

   dotnet run --project BeatUploader

4. Access the UI: Open http://localhost:5000 in your browser.

📝 License

This project is open-source and free to use.

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Harness the power of AI to automate your music career.