BackgroundRemover vs Transparent Background
BackgroundRemover
github.comTransparent Background
github.comSide by side
| Figure | BackgroundRemover | Transparent Background |
|---|---|---|
| Price from | $9/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 6 | 1 |
| Spec score · Video Background Removal Software | 9.4 (#1) | 7.3 (#19) |
| Purpose | BackgroundRemover 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
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.
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.