🎬 ViralContent Factory

Autonomous AI-Powered Viral Content Generation Pipeline

Fully automated Reddit story scraping → AI voice synthesis → viral short-form video generation

Features • Architecture • Installation • Usage • Tech Stack

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🚀 Overview

ViralContent Factory is an end-to-end automated content generation system that transforms Reddit stories into professionally edited, viral-ready short-form videos for TikTok, YouTube Shorts, and Instagram Reels. The pipeline handles everything from content discovery to final video rendering with zero manual intervention.

💡 What Makes This Special?

• 🤖 Fully Autonomous: Set it and forget it. The system runs daily via scheduled tasks
• 🧠 AI-Powered Intelligence: LLM-driven gender detection, viral hook generation, and content filtering
• 🎯 Production-Ready: Includes failover systems, cold storage backups, and email alerting
• ⚡ Optimized Performance: Multi-threaded rendering, smart caching, and resource management
• 📊 Scalable Architecture: Modular phase-based design for easy extension and maintenance

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✨ Features

🔍 Phase 1: Intelligent Content Acquisition

• Multi-Source Scraping: Waterfall system across 10+ high-engagement subreddits (AITA, TIFU, TrueOffMyChest, etc.)
• Smart Filtering:
  • Language detection (English-only)
  • Optimal word count (120-200 words for 60-second videos)
  • Duplicate prevention via persistent database
  • Automatic removal of deleted/removed posts
• AI Enhancement:
  • LLM-powered gender detection for voice matching
  • Viral hook generation (transforms boring titles into scroll-stopping openers)
  • Slang/acronym normalization (AITA → "Am I the jerk", etc.)
• Failover System: Falls back to local cold storage if all live sources fail

🎙️ Phase 2: Professional Audio Synthesis

• Edge TTS Integration: Microsoft's neural voices for natural-sounding narration
• Dynamic Voice Selection: Gender-matched voices (3 female variants, 1 male)
• Word-Level Timing: Precise timestamp extraction for perfect subtitle synchronization
• Fallback Mechanisms: Sentence-level heuristics if word boundaries fail

🎥 Phase 3: Viral Video Composition

• 9:16 Vertical Format: Optimized for mobile-first platforms
• Dynamic Background Selection: Random gameplay footage (Minecraft, GTA 5)
• Animated Subtitles:
  • Impact font with stroke for maximum readability
  • 2-word chunks with pop-in animations
  • Mathematically synced to audio timestamps
• Smart Cropping: Automatic center-crop from 16:9 to 9:16
• Random Start Points: Prevents repetitive background footage

🔧 Production Features

• Automated Cleanup: Removes temporary files after each run
• Batch Management: Collects 7 videos before triggering upload alert
• Email Notifications: Gmail SMTP alerts when batch is ready
• Sanitized Filenames: OS-safe naming with ID-based uniqueness
• Error Handling: Comprehensive try-catch blocks with detailed logging

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🏗️ System Architecture

┌─────────────────────────────────────────────────────────────┐
│                    MAIN PIPELINE ORCHESTRATOR                │
│                     (main_pipeline.py)                       │
└────────────┬────────────────────────────────────────────────┘
             │
    ┌────────┴────────┐
    │                 │
    ▼                 ▼
┌─────────┐      ┌─────────┐
│ Phase 1 │──────│ Phase 2 │
│ Scraper │      │  Audio  │
└────┬────┘      └────┬────┘
     │                │
     │                ▼
     │           ┌─────────┐
     │           │ Phase 3 │
     └───────────│  Video  │
                 └────┬────┘
                      │
                      ▼
              ┌───────────────┐
              │  Cleanup &    │
              │  Notification │
              └───────────────┘

📁 Project Structure

ViralContent/
├── 📜 main_pipeline.py      # Orchestrator - coordinates all phases
├── 🔍 phase1.py             # Content acquisition & AI processing
├── 🎙️ phase2.py             # Audio synthesis & timestamp extraction
├── 🎥 phase3.py             # Video composition & rendering
├── 📥 yt_downloader.py      # Background footage downloader
├── 📧 reminder.py           # Batch management & email alerts
├── ⚙️ run_factory.bat       # Windows Task Scheduler entry point
├── 📦 requirements.txt      # Python dependencies
├── 🗄️ scripts.json          # Persistent story database
├── 🎬 downloads/            # Background video assets
└── 📤 reels/                # Final rendered videos

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🛠️ Tech Stack

Category	Technology	Purpose
Language	Python 3.11+	Core runtime
AI/LLM	OpenRouter API	Gender detection & hook generation
Voice Synthesis	Edge-TTS	Neural text-to-speech
Video Processing	MoviePy 1.0.3	Compositing & rendering
Image Processing	ImageMagick	Text rendering backend
Web Scraping	Requests	Reddit API interaction
NLP	langdetect	Language filtering
Video Download	yt-dlp	Background footage acquisition
Email	smtplib	Gmail notifications
Environment	python-dotenv	Secure credential management

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📦 Installation

Prerequisites

# Required System Dependencies
- Python 3.11 or higher
- FFmpeg (for audio/video processing)
- ImageMagick (for subtitle rendering)
- Deno or Node.js (for yt-dlp)

Step 1: Clone the Repository

git clone https://github.com/indiser/ViralContent-factory.git
cd ViralContent-factory

Step 2: Install Python Dependencies

pip install -r requirements.txt

Step 3: Install System Dependencies

Windows (via winget):

winget install Gyan.FFmpeg
winget install ImageMagick.ImageMagick
winget install DenoLand.Deno

macOS (via Homebrew):

brew install ffmpeg imagemagick deno

Linux (Ubuntu/Debian):

sudo apt update
sudo apt install ffmpeg imagemagick
curl -fsSL https://deno.land/install.sh | sh

Step 4: Configure Environment Variables

Create a .env file in the project root:

# OpenRouter API (for LLM features)
OPENROUTER_API_KEY=your_openrouter_api_key_here

# Gmail SMTP (for notifications)
EMAIL_USER=your_email@gmail.com
EMAIL_APP_PASS=your_gmail_app_password

Note: For Gmail, you need to generate an App Password (not your regular password)

Step 5: Download Background Videos

python yt_downloader.py "https://youtube.com/watch?v=MINECRAFT_VIDEO_ID"
python yt_downloader.py "https://youtube.com/watch?v=GTA5_VIDEO_ID"

Or manually place 9:16 or 16:9 gameplay videos in the downloads/ folder.

Step 6: Configure ImageMagick Path (Windows Only)

Edit phase3.py line 5 to match your ImageMagick installation:

os.environ["IMAGEMAGICK_BINARY"] = r"C:\Program Files\ImageMagick-7.1.2-Q16-HDRI\magick.exe"

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🎯 Usage

Manual Execution

python main_pipeline.py

Automated Daily Execution (Windows)

1. Open Task Scheduler
2. Create a new task:
   • Trigger: Daily at 3:00 AM
   • Action: Run run_factory.bat
3. The system will automatically:
   • Generate 1 video per day
   • Collect 7 videos per week
   • Send email alert when batch is ready

Batch Management

python reminder.py

This checks if 7+ videos are ready and moves them to ready_to_upload/ folder.

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📊 Workflow Example

1. [03:00 AM] Task Scheduler triggers run_factory.bat
2. [03:00:05] Phase 1 scrapes r/AmItheAsshole
3. [03:00:12] LLM generates viral hook: "Am I the jerk for refusing to attend my sister's wedding"
4. [03:00:15] Gender detected: Female → Voice: en-US-AriaNeural
5. [03:00:45] Phase 2 generates audio + word timestamps
6. [03:01:30] Phase 3 renders 60-second vertical video
7. [03:02:00] Cleanup removes temporary files
8. [03:02:05] Reminder script checks inventory (3/7 videos)
9. [Day 7] Email sent: "🟢 FACTORY ALERT: Weekly Batch Ready"

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🎨 Customization

Add More Subreddits

Edit phase1.py:

SUBREDDITS = [
    "AmItheAsshole",
    "YourNewSubreddit",  # Add here
]

Change Voice Models

Edit phase2.py:

WOMAN_VOICE_LIST = [
    "en-US-JennyNeural",
    "en-GB-SoniaNeural",  # Add British accent
]

Adjust Video Length

Edit phase1.py line 175:

if 120 < len(words) < 200:  # Change word count range

Modify Subtitle Style

Edit phase3.py lines 50-60:

txt_clip = TextClip(
    chunk_text,
    font="Arial",           # Change font
    fontsize=100,           # Increase size
    color="yellow",         # Change color
    stroke_width=8,         # Thicker outline
)

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🐛 Troubleshooting

Issue: "ImageMagick not found"

Solution: Update the path in phase3.py line 5 to match your installation

Issue: "No viable stories found"

Solution: The subreddit may have no posts matching criteria. The system will automatically try the next subreddit

Issue: "FFmpeg not found"

Solution: Ensure FFmpeg is in your system PATH. Run ffmpeg -version to verify

Issue: "Email sending failed"

Solution:

1. Enable 2FA on Gmail
2. Generate an App Password
3. Use the App Password in .env, not your regular password

Issue: "Word boundaries missing"

Solution: The system automatically falls back to sentence-level timing. This is expected behavior for some voices

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📈 Performance Metrics

• Average Runtime: 2-3 minutes per video
• Video Quality: 1080x1920 @ 30fps
• Audio Quality: 192kbps MP3
• Storage: ~15-25MB per final video
• Success Rate: 95%+ (with failover systems)

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🔒 Security & Privacy

• ✅ No user data collection
• ✅ API keys stored in .env (gitignored)
• ✅ Reddit scraping complies with API terms
• ✅ All content is public domain (Reddit posts)
• ✅ No personal information in generated videos

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🚧 Roadmap

• Multi-platform upload automation (TikTok, YouTube, Instagram APIs)
• A/B testing for hooks and thumbnails
• Analytics dashboard (views, engagement tracking)
• GPU-accelerated rendering (NVENC support)
• Cloud deployment (AWS Lambda + S3)
• Web UI for manual overrides
• Multi-language support (Spanish, French, etc.)

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🤝 Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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🙏 Acknowledgments

• Reddit API - Content source
• Microsoft Edge TTS - Neural voice synthesis
• OpenRouter - LLM infrastructure
• MoviePy - Video processing framework
• yt-dlp - Video download utility

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📞 Contact

Project Link: [https://github.com/indiser/ViralContent-Factory]

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⭐ If this project helped you, please consider giving it a star!

Made with ❤️ and Python