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BGRemove.video vs Transparent Background

BGRemove.video

bgremove.video

Transparent Background

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FigureBGRemove.videoTransparent Background
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
Self-hosted—Yes
Plans published21
Spec score · Video Background Removal Software8.5 (#7)7.3 (#19)
InputsIt accepts MP4, MOV, WebM, M4V, and GIF uploads up to 60 seconds long.The command line accepts individual images, image folders, videos, video folders, and webcam addresses.

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BGRemove.video

  • FreeFree
  • Free AccessFree

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Transparent Background

  • Transparent BackgroundFree

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In their own words

BGRemove.video

BGRemove.video is a free web service that removes video backgrounds and exports transparent clips with an alpha channel. It accepts MP4, MOV, WebM, M4V, and GIF uploads up to 60 seconds and 2 GB. Its AI follows subjects across frames to reduce flicker and keep edges stable during movement. Transparent output is WebM using VP9 alpha, with the source dimensions preserved. You can place a solid color, blur, image, or video behind a processed clip and export an MP4 without consuming another removal allowance. The free plan costs nothing and allows three successful removals per 24-hour window, with no watermark. Files are processed in the EU and retained for 24 hours, or deleted sooner when requested. Google is the only sign-in option. The maker says uploads are not used to train its models or its provider’s models. Manual edge refinement is unavailable, and glass, smoke, fine mesh, depth-swapping overlaps, and severely underexposed footage are difficult cases.

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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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