BGRemove.video vs ChromaCam
BGRemove.video
bgremove.videoChromaCam
chromacam.comSide by side
| Figure | BGRemove.video | ChromaCam |
|---|---|---|
| Price from | Free | $2.08/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| API | — | Yes |
| Plans published | 2 | 5 |
| Spec score · Green Screen Software | 8.5 (#8) | 9.0 (#4) |
| Background replacement | Finished clips can receive a solid color, blur, image, or video background and be exported as MP4. | The app provides virtual green-screen background replacement and lets users upload custom images. |
| Support | Support is provided through [email protected], while privacy matters go to [email protected]. | The privacy policy gives [email protected] and a Milpitas, California mailing address for questions. |
| What it does | BGRemove separates a video subject from its background and returns a video containing an alpha channel. | ChromaCam uses AI webcam processing to replace or blur backgrounds without a physical green screen for conferencing, learning and streaming. |
Plans
ChromaCam
- LiteFree
- Pro$6.99 a month
- Pro$24.99 a year
- ChromaCam Lifetime$44.99, paid once
- Lifetime$44.99, paid once
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.