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BackgroundRemover vs Transparent Background

BackgroundRemover

github.com

Transparent Background

github.com

Side by side

FigureBackgroundRemoverTransparent Background
Price from$9/moFree
Free planYesYes
Free trial——
Open sourceYes—
WebYes—
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYes—
Self-hostedYesYes
Plans published61
Spec score · Video Background Removal Software9.4 (#1)7.3 (#19)
PurposeBackgroundRemover uses AI to remove backgrounds from images and videos.Transparent Background removes image and video backgrounds using InSPyReNet.

Plans

BackgroundRemover

  • FreeFree
  • API credits$1, paid once
  • Pro (monthly)$12 a month
  • Pro monthly$12 a month
  • Pro (annual)$108 a year
  • Pro annual$108 a year

BackgroundRemover pricing →

Transparent Background

  • Transparent BackgroundFree

Transparent Background pricing →

In their own words

BackgroundRemover

BackgroundRemover uses AI to remove image and video backgrounds, with options for people, general subjects, or faster processing. Images can be refined with alpha matting or mask output, then given a color or image background; video output can be transparent MOV, matte key, GIF, or a composite over another image or video. Its command-line formats include JPG, JPEG, PNG, HEIC, and HEIF images, and MP4, MOV, WebM, OGG, and GIF video. The open-source project can be installed locally for free with pip or from source, and it offers a local HTTP API as well as a hosted REST API with examples in Python, PHP, JavaScript, and C#. GPU detection is automatic, with CPU fallback when needed. The Free plan is free and allows one standard-resolution transparent PNG image daily, short videos, and ads, without batch processing. Pro (annual) is $9 a year, billed at US$ 108.0 annually; Pro (monthly) is $12 a month.

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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.

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