Select a people-focused video
This release supports clips up to two minutes — talking heads, presenters, dance, and other footage where a person is the subject.
Browser-local video matting
Free AI background remover that runs on your device — no green screen, no watermark, and your video is never uploaded.
This release supports clips up to two minutes — talking heads, presenters, dance, and other footage where a person is the subject.
The AI separates the person from the background on every frame — no green screen needed — and temporal smoothing reduces edge flicker.
Preview blur, a solid color, or an uploaded image using the same reusable matte.
Download an MP4 or WebM with supported source audio included.
Browser codec support varies by operating system. MP4 with H.264 video is the most reliable input and output combination.
DojoClip is a free video background remover that runs entirely in your browser. It is built for presenters, talking-head footage, dance and fitness clips, and other videos where a person is the foreground. After the matte is generated, changing the background is instant because the model does not need to process the source again.
The tool separates a person from the surrounding scene using AI portrait matting, so ordinary footage works — no chroma key or studio setup required. It does not erase a selected object and reconstruct the pixels hidden behind it. For the cleanest result, use footage with a clearly visible person, steady lighting, and reasonable contrast between clothing and the background.
Yes — free with no watermark and no sign-up. The AI runs in your browser, so there is no server cost for us to pass on.
No. The AI estimates a person matte directly from normal footage. A green screen can still improve edge quality, but it is not required.
No. The model is downloaded to your browser and your source video is processed locally on your device.
Not in this version. MODNet is designed for people. Arbitrary object selection and object erasing require different models.
Browser support for transparent video encoding is inconsistent. This version exports the person composited over your selected background.
Portrait matting estimates partial transparency around fine details. Motion blur, low contrast, and heavy compression can reduce edge quality.