AI video text remover

How to Remove Timestamps from Video

Remove timestamps from an authorized video online with AI inpainting. No crop, blur, or software installation required.

Automatic or manual modeMultiple time rangesKeep the original frame
Original video frame with burned-in text
Same frame after the visible text is removed
Clean resultOriginal
Select one or more areasTarget only the text that should disappear.
Choose exact time rangesProcess only the moments where the overlay is visible.
Keep the original frameNo forced crop or permanent blur layer.
Simple workflow

From uploaded video to a clean frame in three steps.

The new dashboard opens directly with Text Remover selected.

01

Upload your video

Add footage you own or have permission to edit.

02

Choose automatic or manual

Scan the video or mark exact text areas and time ranges.

03

Review and download

Inspect the cleaned result and export an available resolution.

Page-specific guidance

What to check for this text-removal job.

Why are timestamps difficult to erase?

Digits change continuously even when the box remains fixed. AI inpainting works frame by frame, using nearby color, texture, and motion to estimate the hidden background.

When is this workflow useful?

A common authorized use is cleaning your own archival, camera, or screen-recording footage. Examples include camera date stamps, timecode, recording clocks, and surveillance-style date overlays.

What quality should you expect?

Small overlays on simple, slowly changing backgrounds are generally easier than large overlays across faces, hands, particles, reflections, or fast camera motion. Wipe AI outputs an H.264 MP4 up to 1080p. Test a short representative segment before spending credits on a long video.

Specific guidance

Details for this exact video-cleanup task.

01

Why are timestamps difficult to erase?

Digits change continuously even when the box remains fixed. AI inpainting works frame by frame, using nearby color, texture, and motion to estimate the hidden background.

02

When is this workflow useful?

A common authorized use is cleaning your own archival, camera, or screen-recording footage. Examples include camera date stamps, timecode, recording clocks, and surveillance-style date overlays.

03

What quality should you expect?

Small overlays on simple, slowly changing backgrounds are generally easier than large overlays across faces, hands, particles, reflections, or fast camera motion. Wipe AI outputs an H.264 MP4 up to 1080p. Test a short representative segment before spending credits on a long video.

04

Frequently asked questions

Yes, when timestamps are visible pixels in a video you own or may edit. Wipe AI reconstructs the selected region rather than simply blurring it.

A clean source preserves the real background. Inpainting must estimate what was hidden and can struggle with faces, hands, fine text, or fast motion.

A tight manual box for a static corner stamp is the recommended starting point. Preview a short section before processing the full clip.

No. Digits change continuously even when the box remains fixed. Results depend on how much of the frame is covered and how the background changes.

  • Can AI remove timestamps from a video?
  • Why is a clean source better?
  • Which detection mode works for timestamps?
  • Will removal always look perfect?
Questions and answers

Frequently asked questions.

Can AI remove timestamps from a video?

Yes, when timestamps are visible pixels in a video you own or may edit. Wipe AI reconstructs the selected region rather than simply blurring it.

Why is a clean source better?

A clean source preserves the real background. Inpainting must estimate what was hidden and can struggle with faces, hands, fine text, or fast motion.

Which detection mode works for timestamps?

A tight manual box for a static corner stamp is the recommended starting point. Preview a short section before processing the full clip.

Will removal always look perfect?

No. Digits change continuously even when the box remains fixed. Results depend on how much of the frame is covered and how the background changes.

Choose the right workflow

Use the method that matches the video.

Start with a clean source or removable subtitle track when available; use AI reconstruction only for visible pixels that need repair.

Clean the text from your next video.

Open the new dashboard and process only footage you are authorized to edit.

Open Wipe AI text remover