Corridor Key Download & Install Guide: How to Get Started (2026)
How to Download and Install Corridor Key
Looking to download Corridor Key for green screen removal? There are two ways to use it: the local open-source version (requires technical setup and a powerful GPU) or CorridorKey cloud (no download needed — works in your browser).
Option 1: CorridorKey Cloud (No Download Required)
The fastest way to start using Corridor Key. No installation, no GPU required.
How to get started:
- Go to corridorkey.app
- Click "Get Started" to create a free account
- Upload your green screen footage
- Get a free single-frame preview
- Process your full video ($0.10/GPU min)
- Download your results (composite + alpha matte)
Why choose cloud:
- Zero installation — works in any web browser
- No GPU required — processes on L40S cloud GPUs
- Always the latest AI model
- Free preview before paying
- Works on Mac, Windows, Linux, even tablets
Option 2: Local Installation (Advanced Users)
The open-source Corridor Key can be installed locally if you have the right hardware. This requires technical knowledge and a compatible NVIDIA GPU.
System Requirements:
- GPU: NVIDIA GPU with 8GB+ VRAM (RTX 3070 or better recommended)
- RAM: 16GB minimum, 32GB recommended
- Storage: 10GB+ free space for models
- OS: Windows 10/11 or Linux (Ubuntu 20.04+)
- Software: Python 3.10+, CUDA toolkit, Git
Installation Steps:
- Install prerequisites
- Install Python 3.10 or newer
- Install NVIDIA CUDA toolkit (version 11.8 or 12.x)
- Install Git
- Clone the repository
- Download from the official GitHub source
- Extract or clone to your preferred directory
- Run the installer
- Windows: Double-click the install script
- Linux/Mac: Run the shell install script
- This downloads AI model weights (~4GB) and installs dependencies
- Start the application
- Windows: Run the start script
- Linux/Mac: Run the shell start script
- Process your footage
- Drag and drop video files onto the application
- Wait for processing (speed depends on your GPU)
- Find results in the output folder
Common installation issues:
- CUDA errors: Make sure your NVIDIA drivers are up to date
- Out of memory: Your GPU needs at least 8GB VRAM
- Slow processing: 4K footage requires 12GB+ VRAM for reasonable speed
- Python errors: Make sure you're using Python 3.10+, not an older version
Cloud vs Local: Which Should You Choose?
| Feature | CorridorKey Cloud | Local Install |
|---|---|---|
| Setup time | 2 minutes | 30-60 minutes |
| GPU required | No | Yes (8GB+ VRAM) |
| Technical skill | None | Intermediate-Advanced |
| Cost | $0.10/GPU min | Free (but GPU costs $500+) |
| Processing speed | Fast (L40S GPU) | Depends on your GPU |
| 4K support | Yes | Needs 12GB+ VRAM |
| Updates | Automatic | Manual |
| Quality | Highest (cloud GPU) | Varies by hardware |
The Verdict
Choose CorridorKey Cloud if:
- You don't want to deal with installation
- You don't have a powerful NVIDIA GPU
- You want the fastest, highest-quality results
- You process videos occasionally (pay-as-you-go is more economical)
Choose Local Install if:
- You have a powerful NVIDIA GPU (RTX 4080+)
- You process a very high volume of footage regularly
- You need to work offline
- You're comfortable with command-line tools
Most People Should Use the Cloud Version
Unless you're a technical user with a high-end GPU, CorridorKey cloud is the better choice. No installation headaches, no CUDA compatibility issues, no model downloads — just upload and get professional results.
Skip the installation — try CorridorKey cloud free. Get a single-frame preview with no credit card.
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