01
Upload your video
Add footage you own or have permission to edit.
AI video text remover
Remove Burned-In Text from Video on iPhone
Remove burned-in text from an authorized iPhone video in the browser. Delete editable titles at the source first, then reconstruct flattened text.
Automatic or manual modeMultiple time rangesKeep the original frame
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.
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.
Start with the cleanest source
Apple documents editing project titles and saving or exporting copies. Reopen the project before using inpainting because editable text can be removed without estimating the background or reprocessing unrelated frames.
Plan a precise repair
Classify the text: project title, live caption, username, date stamp, lower third, or required disclosure. Remove only the authorized element. Track its complete outline and shadow, and use separate intervals for animated titles or changing positions.
Review the difficult frames
Check every entrance and exit frame of the text animation, plus faces, hands, and textured backgrounds behind it. Verify that spoken audio, legitimate captions, and any disclosure that must remain are untouched.
Specific guidance
Details for this exact video-cleanup task.
Start with the cleanest source
Apple documents editing project titles and saving or exporting copies. Reopen the project before using inpainting because editable text can be removed without estimating the background or reprocessing unrelated frames.
Keep an untouched master before making any change. A project re-export, original camera file, removable subtitle track, or clean licensed asset preserves real pixels; inpainting only estimates pixels that are no longer available in a flattened frame. Document why you are allowed to edit the material and do not remove attribution or disclosure that must remain.
Plan a precise repair
Classify the text: project title, live caption, username, date stamp, lower third, or required disclosure. Remove only the authorized element. Track its complete outline and shadow, and use separate intervals for animated titles or changing positions.
Scrub the complete clip, not just the first frame. Record when the visible element appears, moves, fades, or crosses a cut. Select the smallest region that fully contains its edge, shadow, and antialiasing. Split the work into separate time ranges when position or size changes; a permanently oversized region asks the model to invent unnecessary detail.
Review the difficult frames
Check every entrance and exit frame of the text animation, plus faces, hands, and textured backgrounds behind it. Verify that spoken audio, legitimate captions, and any disclosure that must remain are untouched.
Review the downloaded MP4 in Photos, keep the original, and name the edited derivative clearly. Wipe AI accepts MP4, MOV, WebM, AVI, and MKV inputs and returns an H.264 MP4 up to 1080p. It processes one video at a time, and the result depends on the selected area, motion, compression, and background complexity. Watch the result at normal speed and frame by frame around cuts, foreground crossings, fast motion, and texture changes. Reject a repair that invents meaningful evidence, alters faces or captions that should remain, or creates a misleading impression of the source.
Document the finished edit
Keep the untouched source, decision notes, and approved export together. Record why the edit was authorized, which time ranges changed, and which source-first options were checked. The intended task for this page is: Transactional long-tail: remove visible text baked into an owned iPhone video while preserving the original copy.
Before delivery, verify duration, aspect ratio, audio sync, and every repaired boundary in the real viewing environment. Wipe AI accepts MP4, MOV, WebM, AVI, and MKV, then exports H.264 MP4 up to 1080p. It processes one video at a time; results depend on overlay size, motion, and background complexity, and output may be re-encoded.
Frequently asked questions
Editable iMovie or app titles should be deleted in the project. Inpainting is for text permanently burned into a video you may edit.
No. It creates a plausible reconstruction from visible spatial and temporal context; it cannot reveal the exact covered image.
The current product output is H.264 MP4 up to 1080p, and processing can involve re-encoding.
No. Ownership, licensing, attribution, disclosure, privacy, and platform obligations still apply.
- What is the safest way to handle remove text from video on iPhone?
- Does Wipe AI recover the original hidden pixels?
- What output should I expect?
- Does cleanup change copyright or platform rules?
Better inputs, better outputs
Use the smallest useful area and time range.
Text removal estimates hidden pixels. Focused selections give the model more useful surrounding context.
Use the clean source when possibleA clean re-export from the original project preserves the actual pixels.
Test a difficult section firstCheck faces, hands, camera motion and scene changes before a long job.
Only edit authorized footageTechnical removal does not change copyright or attribution duties.
Questions and answers
Frequently asked questions.
What is the safest way to handle remove text from video on iPhone?
Editable iMovie or app titles should be deleted in the project. Inpainting is for text permanently burned into a video you may edit.
Does Wipe AI recover the original hidden pixels?
No. It creates a plausible reconstruction from visible spatial and temporal context; it cannot reveal the exact covered image.
What output should I expect?
The current product output is H.264 MP4 up to 1080p, and processing can involve re-encoding.
Does cleanup change copyright or platform rules?
No. Ownership, licensing, attribution, disclosure, privacy, and platform obligations still apply.
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