Video Background Remover CLI

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What Video Background Remover CLI is

Video Background Remover CLI is a free tool for removing and replacing video backgrounds from the Linux command line. It uses rembg and OpenCV, accepts MP4 and MOV input, and can export processed video, individual transparent PNG or WebP frames, and animated WebP or GIF files. For a replacement, choose a solid color or an image. The available removal models include isnet-general-use, u2net, u2netp, u2net_human_seg, and silueta. Silueta offers higher quality at a slower pace, while the lightweight u2netp model may lose quality on complex fire frames.

The CLI can convert MatAnyone foreground and alpha video pairs, or run MatAnyone 2 through matanyone2-runtime. A Gradio web interface is included, with a CLI Export tab and helpers for creating WebP, GIF, frame ZIP, MP4, and WebM outputs. Installation uses pip, and the project requires Python 3.10 or later. It downloads its model on first run and does not require FFmpeg. Regular video output composites transparent areas onto a selected background or black by default, so it does not preserve alpha transparency in the video itself. Long animated GIF exports can become large.

Who it suits

This suits Linux users comfortable installing a Python command-line tool who need to remove or replace backgrounds in MP4 or MOV video. The included Gradio interface offers a browser-based way to work with its export tools, and MatAnyone support may suit workflows that already use those video pairs.

What it does well

Free to use.
Accepts MP4 and MOV video.
Offers five background-removal models.
Can replace backgrounds with a color or image.
Exports transparent PNG and WebP frames.
Includes a Gradio web interface.

What to know first

Requires Python 3.10 or later.
Regular video output does not retain alpha transparency.
Long animated GIF exports can become large.
Silueta runs more slowly than other options.

Limits

The free tool requires Python 3.10 or later and downloads its model on first run. Regular video output composites transparent pixels onto a chosen background or black, and long animated GIF exports can become large.

Plans

Plan	Billed and limits	Price
Video Background Remover CLI	Python 3.10+ · model downloads on first run · long animated GIFs can become large	Free

As github.com lists them, read 4 Oct 2026. The maker's own page has the final word.

Getting started

Open the project website on GitHub.
Install the tool from PyPI with pip install video-background-remover.
Use Python 3.10 or later.
Run the tool; it downloads its model on first use.
Choose the CLI or the included Gradio web interface.

Verdict

Choose Video Background Remover CLI if you want a free Linux tool with several removal models, background replacement, and multiple export types. Look elsewhere if your workflow requires alpha transparency in the regular video output; that output composites transparent pixels onto a background or black.

Questions

How much does Video Background Remover CLI cost?

It is free, listed as free plan.

Is there a free trial?

No. The tool is free and has no trial.

Which platforms and video inputs does it support?

It is listed for Linux and supports MP4 and MOV input.

Can it export transparent video?

Regular video output does not preserve alpha transparency. It composites transparent pixels onto a selected background or black by default; transparent PNG or WebP frames are available.

How do I install it?

The documented installation method is pip install video-background-remover. Python 3.10 or later is required.

Facts from Video Background Remover CLI's own pages

Animated exports: It can create animated WebP, GIF, or both from video. · github.com, 21 Oct 2026
API availability: The published documentation exposes command-line and Python module entry points but no hosted HTTP API. · raw.githubusercontent.com, 21 Oct 2026
Background options: Users can replace the removed background with a solid color or an image. · github.com, 4 Oct 2026
Background replacement: Removed backgrounds can be replaced with a solid color or an image. · github.com, 21 Oct 2026
CLI entry points: The package exposes video-background-remover, vbr, video-background-remover-webui, and vbr-webui commands. · raw.githubusercontent.com, 21 Oct 2026
Default model: isnet-general-use is the documented default model. · sunwood-ai-labs.github.io, 21 Oct 2026
Developer dependencies: The project declares rembg, OpenCV, NumPy, Pillow, tqdm, onnxruntime, and imageio-ffmpeg dependencies. · raw.githubusercontent.com, 21 Oct 2026
FFmpeg requirement: The documentation says FFmpeg is not required. · sunwood-ai-labs.github.io, 21 Oct 2026
First-run model download: Models download automatically on first use and are cached locally. · sunwood-ai-labs.github.io, 21 Oct 2026
GIF limit: The README cautions that animated GIF exports of long videos can become large. · github.com, 4 Oct 2026
Green-fringe cleanup: MatAnyone processing includes cleanup for green matte contamination around semi-transparent edges. · github.com, 21 Oct 2026
Installation: The package can be installed with pip as video-background-remover. · pypi.org, 21 Oct 2026
Install method: The README documents installation from PyPI with pip install video-background-remover. · github.com, 4 Oct 2026
Licence status: The repository file listing and pyproject metadata show no declared software licence. · github.com, 21 Oct 2026
Limit: GIF size: The README warns that long animated GIF exports can become large. · github.com, 21 Oct 2026
Limit: processing startup: The documentation warns that initial model loading can take time. · github.com, 21 Oct 2026
Limit: regular video alpha: Regular MP4 output does not retain alpha transparency and composites onto a selected background or black. · sunwood-ai-labs.github.io, 21 Oct 2026
Maker identity: The GitHub organization profile identifies the account as Maki Sunwood-ai-labs and links to hamaruki.com. · github.com, 21 Oct 2026
Maker portfolio: Devpost lists Maki Maki (sunwood-ai-labs) with one project and one hackathon. · devpost.com, 21 Oct 2026
MatAnyone backend: It can invoke matanyone2-runtime through a separately specified Python interpreter. · github.com, 21 Oct 2026
MatAnyone integration: The CLI can convert MatAnyone foreground and alpha video pairs, or invoke MatAnyone 2 through matanyone2-runtime. · github.com, 4 Oct 2026
MatAnyone pairs: The tool combines matching foreground and alpha video files into transparent outputs. · github.com, 21 Oct 2026
Model selection: Available rembg models are isnet-general-use, u2net, u2netp, u2net_human_seg, and silueta. · sunwood-ai-labs.github.io, 21 Oct 2026

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