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EZ-CorridorKey vs Transparent Background

EZ-CorridorKey

ezcorridorkey.com

Transparent Background

github.com

Side by side

FigureEZ-CorridorKeyTransparent Background
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
Self-hostedYesYes
Plans published11
Spec score · Video Background Removal Software8.0 (#12)7.3 (#19)
PurposeEZ-CorridorKey is a desktop GUI for CorridorKey, an AI chroma keyer that separates foreground from background.Transparent Background removes image and video backgrounds using InSPyReNet.

Plans

EZ-CorridorKey

  • FreeFree

EZ-CorridorKey pricing →

Transparent Background

  • Transparent BackgroundFree

Transparent Background pricing →

In their own words

EZ-CorridorKey

EZ-CorridorKey is a free desktop GUI for CorridorKey, an AI chroma keyer that separates foreground from background. It handles green and blue screens and detects which color is present. GVM and BiRefNet generate alpha automatically, while MatAnyone2 and VideoMaMa provide paint-and-track control. A dual viewer offers source, alpha, or composite views, an A/B wipe, pan and zoom, channel switching, and live despill, refine, and despeckle controls. The queue processes clips in sequence, with progress, sound cues, recent projects, and session saving. Exports include EXR and PNG sequences, ProRes 4444, and VP9 with alpha while preserving bit depth. Footage and project files stay on local disk, without accounts, telemetry, or cloud processing; the app does request an update check from GitHub on launch. It runs on Windows, macOS, and Linux, with Docker instructions for Linux servers or remote GPUs. Apple Silicon Macs from M1 onward are supported, though alpha generators run slower on Mac. The license is CC BY-NC-SA 4.0; donations are optional.

Visit ezcorridorkey.com

Transparent Background

Transparent Background is a free Python package that removes backgrounds from images and video using InSPyReNet. It accepts individual files, folders of images or videos, and webcam addresses through its command-line interface; it also offers a Python API and optional GUI. Outputs include transparent RGBA images, saliency maps, green or white backgrounds, blurred or overlaid backgrounds, and composites with another image. The available model modes are base, fast, and base-nightly, with support for custom checkpoints. Static resizing is the default and favors stability over detail; dynamic resizing may sharpen edges but can be unstable. The package supports batch processing and PNG, JPG/JPEG, and MP4 inputs. RGBA output is not supported for video or webcam input. Webcam support is optional, described as unstable, and limited to Linux. Installations are available from PyPI, GitHub, or a local clone, with CPU-only and GPU setup instructions. It runs on Linux, macOS, Windows, and self-hosted systems. The listed plan is free.

Visit github.com