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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:

  1. Go to corridorkey.app
  2. Click "Get Started" to create a free account
  3. Upload your green screen footage
  4. Get a free single-frame preview
  5. Process your full video ($0.10/GPU min)
  6. 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:

  1. Install prerequisites
  • Install Python 3.10 or newer
  • Install NVIDIA CUDA toolkit (version 11.8 or 12.x)
  • Install Git
  1. Clone the repository
  • Download from the official GitHub source
  • Extract or clone to your preferred directory
  1. 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
  1. Start the application
  • Windows: Run the start script
  • Linux/Mac: Run the shell start script
  1. 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 installationtry CorridorKey cloud free. Get a single-frame preview with no credit card.

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