watermark-remover-ai

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watermark-remover-ai

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Free & unlimited AI video and image watermark remover. Uses Florence-2 and LaMA to seamlessly erase watermarks and logos offline

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# WatermarkRemover-AI (Omni Edition)
Developed by Mohammed Nihan | [contact@nihu.in](mailto:contact@nihu.in)
**Free & Unlimited AI-Powered Video and Image Watermark Remover Tool**

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)

---

## Overview

`WatermarkRemover-AI` is a 100% free, unlimited, and offline application that leverages AI models for precise watermark detection and seamless removal. Perfect for removing watermarks, logos, and text from AI-generated videos like Sora, Sora 2, Runway, and any standard images or videos.

It uses Florence-2 from Microsoft for watermark identification and LaMA for inpainting to fill in the removed regions naturally. The software features a modern GUI built with PyWebview for an accessible and intuitive experience.

## Screenshot

![App Screenshot](https://raw.githubusercontent.com/nihannihu/watermark-remover-ai/main/assets/screenshot-preview.png)

## Demo

Here is a side-by-side comparison of the AI in action:

**Original Video (Before)**
https://github.com/nihannihu/watermark-remover-ai/raw/main/assets/clip-pre.mp4

**Processed Video (After)**
https://github.com/nihannihu/watermark-remover-ai/raw/main/assets/clip-after.mp4

---

## Features

- **Smart Detection** - AI-powered watermark detection using Florence-2
- **Seamless Removal** - LaMA inpainting for natural-looking results
- **Zero-Config Auto-Download** - No need to hunt for models! The app automatically downloads the required AI models on the first run.
- **Cross-Platform** - Fully supported on Windows, macOS, and Linux.
- **Video Support** - Process videos with two-pass detection and audio preservation
- **AI Video Ready** - Remove watermarks from Sora, Sora 2, Runway, and other AI-generated videos
- **Batch Processing** - Handle entire folders at once
- **Preview Mode** - Preview detected watermarks before processing
- **Fade In/Out Handling** - Extend masks for watermarks that fade in/out
- **GPU Acceleration** - CUDA support for faster processing
- **Multi-Language UI** - Available in English, French, Chinese, Japanese, Portuguese, and more
- **Themes** - Multiple UI themes to choose from

---

## Installation

### Windows

The setup script downloads a portable Python environment automatically - no system Python required.

```powershell
git clone https://github.com/nihannihu/watermark-remover-ai.git
cd WatermarkRemover-AI
.\setup.ps1
```

After setup, double-click `run.bat` to launch the app.

### Linux / macOS

Requires Python 3.10+ installed on your system.

```bash
git clone https://github.com/nihannihu/watermark-remover-ai.git
cd WatermarkRemover-AI
chmod +x setup.sh
./setup.sh
```

After setup, run `./run.sh` to launch the app.

### Optional: FFmpeg

Install FFmpeg to preserve audio when processing videos:
- **Windows**: Download from [ffmpeg.org](https://ffmpeg.org/download.html) and add to PATH
- **Linux**: `sudo apt install ffmpeg`
- **macOS**: `brew install ffmpeg`

---

## Usage

### GUI Mode

1. Run the app (`run.bat` on Windows, `./run.sh` on macOS/Linux)
2. Select your preferred language and theme from the top-right corner
3. Select your mode (Single File or Batch)
4. Set input and output paths
5. Configure settings as needed
6. Hit **Start Processing**

Your settings are automatically saved and restored on next launch.

### CLI Mode

```bash
# Basic usage
python remwm.py input.png output_folder/

# With options
python remwm.py ./images ./output --overwrite --max-bbox-percent=15 --force-format=PNG

# Process video with two-pass detection
python remwm.py video.mp4 ./output --detection-skip=3 --fade-in=0.5 --fade-out=0.5

# Preview mode (detect without processing)
python remwm.py input.png --preview
```

### CLI Options

| Option | Description |
|--------|-------------|
| `--overwrite` | Overwrite existing files |
| `--transparent` | Make watermark regions transparent (images only) |
| `--max-bbox-percent` | Max detection size as % of image (default: 10) |
| `--force-format` | Force output format (PNG, WEBP, JPG, MP4, AVI) |
| `--detection-prompt` | Custom detection prompt (default: "watermark") |
| `--detection-skip` | Detect every N frames for videos (1-10, default: 1) |
| `--fade-in` | Extend mask backwards by N seconds (for fade-in watermarks) |
| `--fade-out` | Extend mask forwards by N seconds (for fade-out watermarks) |
| `--preview` | Preview detected watermarks without processing |

---

## Video Processing

- **Supported formats:** MP4, AVI, MOV, MKV, FLV, WMV, WEBM
- **Audio preservation:** Requires FFmpeg installed
- **Two-pass mode:** Faster processing with `--detection-skip` > 1
- **Fade handling:** Use `--fade-in` / `--fade-out` for watermarks that appear/disappear gradually

---

## Tech Stack

- **Florence-2** - Microsoft's vision model for watermark detection
- **LaMA** - Large Mask Inpainting model
- **PyWebview** - Cross-platform webview wrapper
- **Alpine.js** - Lightweight JavaScript framework for UI
- **PyTorch** - Deep learning backend

---

## Contributing

Contributions are welcome! Feel free to:

1. Fork the repository
2. Create a feature branch
3. Submit a pull request

---

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

---

## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=nihannihu/watermark-remover-ai&type=date&legend=top-left)](https://www.star-history.com/#nihannihu/watermark-remover-ai&type=date&legend=top-left)

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