Image Watermark Cleanup
Remove text marks, small logos, date stamps, labels, and repeated photo overlays while keeping the surrounding background as natural as possible.
Clean photos, screenshots, product images, social clips, demo videos, and archived media with AI-assisted selection, natural inpainting, batch cleanup, and practical export controls for Windows.
GiliSoft Watermark Remover is built for media that needs visible marks cleaned before reuse: photo watermarks, date stamps, logo overlays, burned-in subtitles, screen labels, and other distractions that should not remain in a final image or clip.
Use it when you own the source media, created the material yourself, licensed it, or are authorized to edit it. The tool helps mark the unwanted area, preview the result, process single files or batches, and export cleaner images or videos for documentation, product catalogs, training materials, social publishing, and internal media libraries.
Remove text marks, small logos, date stamps, labels, and repeated photo overlays while keeping the surrounding background as natural as possible.
Mark unwanted video areas such as corner logos, embedded titles, timestamps, and simple subtitle overlays, then export cleaner clips for authorized reuse.
Use rectangle, brush, and local selection tools to define the cleanup area, then let the software reconstruct the background instead of blurring the whole frame.
Process repeated marks across image folders or video sets when the same cleanup task must be applied to many files with consistent export settings.
After cleanup, apply updated brand marks to images or videos with control over position, transparency, size, and visual style.
Prepare cleaned media for catalogs, tutorials, documentation, social channels, training libraries, or internal review without rebuilding the source project.
We use it to clean channel logos and caption overlays before localization. The edited area blends much better than a simple blur.
Batch image cleanup helped us prepare old product photos and archived visuals without sending every file to a designer.
The selection tools are approachable for content staff, but still precise enough for marks near edges and detailed backgrounds.
We can remove older marks, add the current brand watermark, and keep export settings consistent across repeat publishing tasks.




Use it when social assets, archived projects, or repurposed media still carry logos, subtitles, date stamps, or old brand marks.
Prepare cleaner visuals for campaigns, localized assets, product demos, and rebranding work across both image and video content.
Batch tools help when overlays, subtitles, or repetitive watermark areas must be cleaned across many files.
Beyond removal, the same process can add text or logo watermarks when final media needs ownership or brand marks.
It handles watermark removal across both media types, so teams do not need to split the job between separate tools.
It focuses on practical watermark, subtitle, logo, and object cleanup instead of trying to be a broad image-editing suite first.
Use batch removal and batch watermarking when many files share the same cleanup or publishing requirements.
AI-assisted detection and reconstruction help cleaned areas blend more naturally with surrounding pixels.
Clean old branding, labels, date stamps, or imported marks from photos before reuse or republishing.
How to remove a watermark from a photo | How to remove a logo from a photo | How to remove a date stamp from a photo | How to remove text from a photo
Remove subtitle bars, embedded text, or logo overlays before localization, re-editing, or rebranding.
How to remove a watermark from a video | How to remove a logo from a video | How to remove a date stamp from a video | How to remove subtitles from a video | How to remove text from a video
Use batch processing when multiple files need the same watermark-removal treatment and export setup.
After removing old marks, apply updated branding to final image or video exports in the same software family.
Remove watermark from screenshot | Remove logo from screenshot | Remove overlay from video | Remove timestamp from video
Best for removing watermarks, logos, date stamps, and unwanted marks from photos.
Best for removing subtitle bars, burned-in captions, and text-heavy overlays from videos.
Best for mixed image cleanup and general video watermark removal in one tool.
AI image cleanup can run without a credit-based model in MarkEase. Video AI cleanup is different: most users do not have the GPU hardware needed for practical offline AI video watermark removal, so AI video cleanup in ClipMark, Subtitle Remover, and Watermark Remover uses credit-based processing. At this time, there is no separate offline AI video watermark removal option.
Yes. It supports cleanup for both photos and videos, including logos, text overlays, subtitles, and date stamps.
How to remove a watermark from a photo | How to remove a watermark from a video | How to remove a logo from a video | How to remove text from a video
Yes. Batch processing is useful when multiple files need the same cleanup treatment.
How to do batch watermark removal | How to remove a date stamp from a video
Yes. The software can add text or logo watermarks to images and videos after you finish cleanup work.
Yes. It fits teams that want one process for image and video cleanup, while related tools can still help when a dedicated image-only or video-only tool is preferred.
Remove logo from photo | Remove date stamp from photo | Remove object from video

Editors highlighted accurate watermark-region detection and practical controls for image and video cleanup. Coverage noted a strong balance between quick one-click fixes and manual precision editing.
Review summaries describe GiliSoft Watermark Remover as a practical tool for removing text, logos, and overlays while preserving visual consistency in edited media.

Reviewers praised consistent output quality across social, education, and marketing tasks. Lab observations mentioned stable processing with common formats and frame settings.
Coverage emphasized that teams can quickly clean branded overlays, subtitles, and object distractions without rebuilding entire projects from source.

Independent write-ups described the cleanup process as efficient for repetitive post-production tasks. Commentary emphasized predictable results across repeated export cycles.
Independent commentary highlighted easy operation, batch support, and reliable background reconstruction for creators handling frequent watermark and overlay removal.