Web Analytics Made Easy - Statcounter

NaviAI Hub — AI Digital Products Marketplace | Sell AI Courses, Prompts & Templates Worldwide

Your Cart
We use cookies 🍪
We use cookies and other similar technologies to improve your browsing experience and the functionality of our site. Learn more in our Privacy Policy.

Watermark_Remover-Monthly_Card

Watermark_Remover-Monthly_Card
Watermark_Remover-Monthly_Card
Watermark_Remover-Monthly_Card
Watermark_Remover-Monthly_Card
New 🔥 Bestseller
Watermark_Remover-Monthly_Card
Watermark_Remover-Monthly_Card
Watermark_Remover-Monthly_Card
Watermark_Remover-Monthly_Card

AI-powered watermark removal — clean videos in one click. Drag in a video or image with watermarks, subtitles or overlay text, and let dual AI models erase them cleanly — no manual masking, no quality loss.

Positioning

WatermarkRemover is a desktop tool that puts two state-of-the-art AI models at your fingertips: STNN Smart Erase for logos, stamps and scrolling text, and LAMA Inpainting for large-area reconstruction. It runs entirely on your local machine (GPU accelerated via ONNX), detects and removes watermarks automatically, and even strips hardcoded subtitles — all while preserving original video/image quality.

The problem it kills

You download the perfect stock clip, tutorial video, or viral post — but it is stamped with a logo, branded with a corner watermark, or buried under hardcoded subtitles that you cannot turn off. Manual masking in After Effects or Premiere takes hours per video and still leaves artifacts. WatermarkRemover solves this in one click.

Core features

  • Dual AI engine — STNN Smart Erase handles semi-transparent logos, corner stamps and scrolling text; LAMA Inpainting reconstructs complex backgrounds where large areas need filling.
  • Auto subtitle detection — precision mode finds hardcoded subtitles anywhere on screen and removes them without damaging the underlying content.
  • Hardware acceleration — GPU support plus ONNX runtime delivers up to 10x faster processing than CPU-only tools.
  • Batch queue — drop multiple files into the queue, process them in sequence, track real-time progress percentage per file.
  • Real-time log panel — every processing step logged with timestamp: detection start, model selection, removal progress, output path.
  • Format agnostic — supports MP4, MKV, AVI, MOV, WebM, FLV for video; JPG, PNG, WEBP, BMP, TIFF for images.
  • Local-only processing — nothing uploads to the cloud. Your files stay on your machine, privacy guaranteed.

Who it's for

Content creators & short-video makers · Post-production editors & studios · Educators & e-learning teams · Media researchers & content repurposers

Short description (store snippet)

WatermarkRemover is an AI-powered desktop tool that removes watermarks, logos, subtitles and overlay text from videos and images in one click. Dual models (STNN + LAMA), GPU acceleration, batch queue, auto subtitle detection, and local-only processing. Clean your media, reclaim your content.

FAQ

QuestionAnswer
What types of watermarks can it remove?Corner logos, semi-transparent stamps, scrolling text, overlay graphics, and hardcoded subtitles — both static and moving.
Which AI models does it use?STNN Smart Erase (best for targeted logo/stamp removal) and LAMA Inpainting (best for large-area background reconstruction). Both run locally.
Does it require a GPU?No — it works on CPU. But if you have a compatible GPU, hardware acceleration via ONNX runtime speeds things up to 10x.
Can it remove subtitles?Yes — precision subtitle detection mode auto-locates and removes hardcoded subtitles from any position on screen.
Does it upload my files to a server?No. All processing runs locally on your machine. Nothing leaves your computer.
What formats are supported?Video: MP4, MKV, AVI, MOV, WebM, FLV. Image: JPG, PNG, WEBP, BMP, TIFF. Output matches input format at original quality.

Call to action

Available now on NaviAi. Want to earn while you share? Join the NaviAi partner program and earn commission on every WatermarkRemover sale.

Write a review

Note: HTML is not translated!
Rating
Bad Good