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Blur Faces in Video Online

Cover selected faces with blur, mosaic or a solid black mask. Detect faces on your device, adjust their coverage and download a short video. Free, with no upload, account or added watermark.

Processed on your device · No account · No added watermark

Choose a video

Detection creates separate tracks for each continuous appearance. All detected tracks are selected initially.

A small face detector and its processing libraries download on first use. Your video and face positions stay on this device.

How to blur a moving face

  1. Select a local clip. Trim longer videos first to fit the 60-second limit.
  2. Detect and select faces. Keep the tracks you want covered enabled. Draw manual masks without detection if needed.
  3. Check the coverage over time. Pause, scrub and use the frame-step controls around entrances, turns and exits. Move or resize the rectangle to correct its position; inspect the frames between corrections.
  4. Set effect and audio. Choose blur, mosaic or solid black. Adjust strength and padding, then check Keep audio.
  5. Export, review and download. Keep the tab open. Review the complete result, then download. Corrections clear the old result, so export again after changes.

Example: a visitor crosses behind a presenter

Leave the presenter’s tracks unchecked and cover the visitor’s. If the visitor passes behind a pillar and returns, the return may be a new track. Check both sides of the obstruction and add a manual rectangle where detection misses. End that mask when the visitor leaves so it does not cover an unrelated area later.

Cover the right part of the image

Leave enough padding for head turns and changing face size. One manual position does not track motion automatically; add and review later positions. Undo and redo let you compare corrections.

For background softening while keeping people visible, use video background removal. To discard only sound, remove the audio track. If you compress the result, review that final version too. Browse all free tools.

Questions about blurring faces

Does the video get uploaded?

No. Detection, editing and export run locally. Your browser downloads the face model and processing libraries, but does not upload your footage. No account is required, and DojoClip adds no watermark.

Which clips can I process?

Choose a video up to 60 seconds and 100 MiB with a browser-decodable codec. Large source frames have additional processing limits. Automatic analysis supports up to 20 detected faces per frame, with 100 detected and manual tracks in total.

Can I cover one face and leave another visible?

Yes. Detected tracks start enabled; uncheck those you want visible. A track connects face positions, not a recognized identity. One person can produce several tracks after a cut, obstruction or exit, so check every appearance.

How do I correct a missed or misplaced mask?

Pause and draw a rectangle, or move and resize an existing mask. Changes record its position at that time. Add positions later to follow movement. New manual masks run from the current time to the clip end; adjust their start and end as needed.

Can I pixelate faces instead of blurring them?

Yes. Choose blur, mosaic or solid black. The same effect applies to enabled masks. Blur and mosaic have strength controls; padding expands coverage. If browser blur is unavailable, mosaic is used and a notice appears.

What file will I download?

MP4 is preferred, with WebM fallback when needed. Export re-encodes the picture, without enlarging it, up to a 1920-pixel long edge, 1080-pixel short edge and 30 fps. The output must fit 100 MiB. The source is not overwritten.

Does a silent editing preview mean the export is silent?

No. The editing preview is muted. Keep audio is enabled by default when a track exists; switch it off for silent output. Masks do not change voices or spoken names. Kept audio may be copied or re-encoded.

Will every face be hidden automatically?

No. Small faces, profiles, obstructions and fast movement can cause misses or misplaced masks. Tracks can stop across gaps or cuts. Review the complete export. Voice, visible text, clothing and context can still identify someone; face coverage does not guarantee anonymity.