ReelMaker is a Python-based automated video reel generation pipeline. Drop raw media into input/, run the script, and get a polished reel in output/ — no manual editing required. Built for content creators, social media teams, and marketers who need high-throughput reel production.
input/ (raw footage · clips · assets)
│
▼
┌───────────────────────┐
│ AI Processing │ ← Python pipeline
│ Scene detection │ Smart clip selection
│ Sequence assembly │ Automated transitions
│ Audio sync │ Pacing optimisation
└───────────┬───────────┘
│
▼
output/ (polished reel · ready to publish)
| Feature | Description |
|---|---|
| 🎯 Smart Clip Selection | AI selects the best moments from raw footage |
| ✂️ Auto Assembly | Sequences clips into a coherent, paced reel |
| 🎵 Audio Processing | Sync and optimise audio across clips |
| 📂 Simple I/O | Drop files in input/ → get reel in output/ |
| ⚡ Fast Pipeline | Fully automated — zero manual editing |
Python 3.8+git clone https://github.com/mustang-shr/ReelMaker.git
cd ReelMaker
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txt# Place your raw clips inside the input/ folder
# Then run:
python main.py
# Your generated reel will appear in output/ReelMaker/
├── main.py # Entry point — run this
├── input/ # Drop raw footage/clips here
├── output/ # Generated reels appear here
├── requirements.txt # Python dependencies
└── README.md
- Content creators — batch-generate reels from raw shoot footage
- Social media teams — automate short-form content production at scale
- Marketers — rapid reel creation for campaigns without editor dependency
- Developers — extendable pipeline base for custom video AI workflows
ReelMaker is built as a clean pipeline — easy to extend:
# Plug in your own AI model for clip scoring
# Add custom transition effects
# Integrate with social media APIs for auto-publish
# Connect to a cloud storage bucket for input/output⭐ Building something with video AI? Star this repo — it helps others find it.
