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FrameWipe

Clean up photos and videos. Keep them private.

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  • Remove subtitles from video – burned-in or soft
  • Remove text from video without uploading it
  • Blur every face in a video, frame by frame
  • Blur or pixelate faces in photos – on your Mac or PC
  • Remove text from images – detected for you, erased on your computer
  • A video-subtitle-remover (VSR) alternative you don't have to set up
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Tools / Blur every face in a video, frame by frame

Blur every face in a video, frame by frame

FrameWipe finds faces on every frame of your clip and blurs them for you. Before you export, it lists the moments where a face may have been missed, so you can check them. The footage never leaves your computer.

  • Faces detected on every frame
  • Review list of possible misses
  • Footage never uploaded
  • Mac and Windows
Get FrameWipe on PatreonHow it works
Before / After
BeforeAfter

Real output. 4 faces × 180 frames, 19 s to blurDrag

How it works

How to blur a face in a video

  1. 1

    Open the video

    Drop in your clip. FrameWipe runs face detection on each frame and covers every face it finds.

  2. 2

    Choose how to cover faces

    Pick blur, pixelate or a solid fill, and widen the covered area around each face if you need more margin.

  3. 3

    Review possible misses

    FrameWipe lists moments where a face may have been missed, for example when someone turns away or passes behind an object. Jump to each one and add a box where needed.

  4. 4

    Export a new file

    Check the result and save the video as a new file. The original clip is not changed.

On this page

Why blurring faces in video is easy to get wrongAuto blur faces, then check the moments that matterBlur, pixelate or solid fill: which to useBlurring faces without uploading the footageWhat to expectQuestions about blurring faces in video

Why blurring faces in video is easy to get wrong

Blurring a face in one frame is simple. Blurring it in every frame is where most methods fail. The common tutorial approach is to place a blur shape, then keyframe or motion-track it by hand. It works until the person turns their head, walks behind someone or leaves and re-enters the shot, and a single uncovered frame is enough to show a face.

FrameWipe treats this as a detection problem rather than a drawing problem. It looks for faces on each frame of the clip, so a person who appears for half a second is handled the same way as someone who is on screen the whole time.

Auto blur faces, then check the moments that matter

No face detector is perfect. Small faces in the background, faces in profile and faces partly hidden by a hand or an object are the usual misses. Instead of hiding that, FrameWipe lists the moments where a face may have been missed. You go through the list, look at each frame and draw a box where one is needed.

That review step is the difference between "probably covered" and "checked". It is the part to spend your time on before you publish.

Blur, pixelate or solid fill: which to use

Blur and pixelation look softer and are fine for keeping strangers out of focus in a vlog. They are not always enough for sensitive footage: pixelation and blur can sometimes be partly reversed. For anything where identification would cause harm, such as minors, witnesses or people in sensitive places, use a solid fill.

  • Blur: softest look, good for casual footage.
  • Pixelate: the classic mosaic look.
  • Solid fill: the safest choice for sensitive material.
Sample frame: before (left) and FrameWipe result (right).

Blurring faces without uploading the footage

If you need to hide faces, the footage is private by definition: your children at school, a client's office, a street interview. Uploading it to an online blur tool means handing an unblurred copy to someone else first. FrameWipe processes everything on your Mac or Windows PC. There is no account and no upload.

On Mac you can also box any other object, such as a license plate or a name badge, and FrameWipe follows it frame by frame so you can cover it. Object tracking is Mac-only for now.

What to expect
  • Very small, turned-away or partly hidden faces can be missed. Go through the review list before you export.
  • The review list points to likely misses; it is not a guarantee that every other frame is correct. Watch the result once.
  • Pixelation and blur can sometimes be partly reversed. For sensitive footage, use a solid fill.
  • Exporting re-encodes the video, so the output is a new encode of your clip.

FAQ

Questions about blurring faces in video

In most editors you draw a blur shape and track it by hand. In FrameWipe you open the video, faces are detected and covered on every frame, and you review the list of moments where a face may have been missed before exporting.

Related tools

Blur or pixelate faces in photos – on your Mac or PC

FrameWipe finds the faces in a photo and selects them for you. Choose blur, pixelate or a solid fill, keep the faces you want visible, and save a new copy. The photo is processed on your computer and never uploaded.

Learn more →

Remove text from video without uploading it

FrameWipe removes text from video on your own computer: burned-in captions, titles, labels and other on-screen text. Mark the area, preview two seconds, then process the range and save a new file.

Learn more →

Remove subtitles from video – burned-in or soft

FrameWipe is a desktop subtitle remover for Mac and Windows. It can remove subtitles from video whether they are a separate track or burned into the picture, and it does all the work on your computer.

Learn more →

Cover the faces before you publish

FrameWipe runs on Mac with Apple Silicon (macOS 13 or later) and Windows 10/11 x64. It is available to supporters on Patreon.

Get FrameWipe on PatreonMac · Windows