FuzzPuppy Video Background Remover vs Transparent Background
FuzzPuppy Video Background Remover
fuzzpuppy.comTransparent Background
github.comSide by side
| Figure | FuzzPuppy Video Background Remover | Transparent Background |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Video Background Removal Software | 8.3 (#9) | 7.3 (#19) |
| Maker | Fuzz Puppy says it builds browser-based tools for video creators and is a service offering of Square Zero Labs LLC. | PyPI lists Taehun Kim as the author and plemeri as the maintainer. |
| Purpose | Removes video backgrounds using AI or green screen chroma key, and runs in the browser. | Transparent Background removes image and video backgrounds using InSPyReNet. |
Plans
In their own words
FuzzPuppy Video Background Remover
FuzzPuppy Video Background Remover is a free web tool for removing video backgrounds in a browser. It uses AI removal or green-screen chroma key, then exports transparent WebM or MOV files, or MP4 with a replacement color, image, or video background. Processing happens locally in the browser; Fuzz Puppy says video is not uploaded to its servers for processing. MP4 and MOV inputs can be approximately 600 MB, with shorter, lower-resolution clips described as more reliable on modest GPUs. MODNet is the faster AI model, while BEN2 targets more detailed subjects and requires FP16 WebGPU support. AI removal requires WebGPU; green-screen removal does not. The maker lists current desktop Chrome, Edge, or Safari with WebGPU enabled for AI work. Supported mobile browsers process only the first 15 seconds at up to 720p and 24 fps with MODNet or green-screen removal. No signup or watermark is listed, and transparent MOV can be composited in compatible CapCut, Blender, and other alpha-video editors.
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.