notebooklm-watermark-remover

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notebooklm-watermark-remover

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a simply water mark remover for pdf, png, pptx files generated from notebooklm

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# NotebookLM Watermark Remover

![Captura de funcionalidad del proyecto](https://raw.githubusercontent.com/Albonire/notebooklm-watermark-remover/bibi/public/screenshot.jpg)

[English](README.md) | [中文](README_zh.md)

A powerful tool that cleanly removes the "NotebookLM" watermark from your PDF slides, PowerPoint presentations (PPTX), and images/infographics (PNG, JPG) using advanced computer vision techniques.

## What It Does

**Smart Removal (Inpainting):**
Instead of just covering the watermark with a solid color box (which looks bad on gradients or textured backgrounds), this tool uses **AI-based Inpainting (Computer Vision)**.
- **Detects** the watermark by analyzing local contrast and blur differences.
- **Reconstructs** the background behind the text, preserving gradients, textures, and slide borders.
- **Smart Filtering:** Intelligently ignores slide content (text, lines) that might be close to the watermark area, ensuring only the logo/text is removed.

**Supported Formats:**
- **PDF Documents:** Patches the watermark on every page seamlessly.
- **PPTX Presentations:** Removes the watermark from PowerPoint files exported by NotebookLM.
- **Images:** Supports PNG (including transparency/alpha channel), JPG, JPEG, and WEBP.

**Features:**
- Batch processing: Clean entire folders in one go.
- Progress bar for tracking large tasks.
- Preview mode (PDFs) to test settings on the first page.
- Smart auto-detection of file types.

## Legal Disclaimer & Fair Use

**Disclaimer:**
This tool is intended for use only on documents you legally own or have rights to modify. Removing attribution marks from content that violates a service's Terms of Service is the sole responsibility of the user. The author does not endorse or encourage ToS violations.

**Legitimate Use Cases:**
Watermark removal is legitimate when the user owns the generated content. For instance, Google states that "Google won't claim ownership over that content" generated by its AI services. This tool is designed to help users clean up their own exported PDFs and presentations for personal or professional presentation purposes where they hold the intellectual property rights.

**Commercial Use Clause:**
While this software is provided under the MIT License, the use of this tool for commercial purposes to evade paywalls or attribution requirements of third-party services is strictly unauthorized and discouraged.

## Getting Started

### Using Python (All Platforms)

1. **Clone the repo**
```bash
git clone https://github.com/Albonire/notebooklm-watermark-remover.git
```

2. **Set things up:**
```bash
python3 -m venv venv
source venv/bin/activate  # Windows folks: venv\Scripts\activate
```

3. **Grab the dependencies:**
```bash
pip install -r requirements.txt
```

4. **Run the tool:**
```bash
python3 remover.py example.pdf
# or u can also aim to a especific file path: python3 remover.py ~/path/to/your/file.pdf 
```

4.1. **Help:**
```bash
python3 remover.py --help
```

4.2. **Set specific margin:**
```bash
python3 remover.py example.pdf --margin-x MARGIN_X --margin-y MARGIN_Y
```

### Using EXE (Windows Only)

If you have built the executable (see [BUILD.md](BUILD.md)), you can run it directly:
```bash
dist\NotebookLM-Watermark-Remover.exe presentation.pdf
```

## How to Use It

### Single file (PDF, PPTX, or Image)
```bash
python3 remover.py presentation.pdf
# OR
python3 remover.py presentation.pptx
# OR
python3 remover.py slide.png
```
Creates `presentation_cleaned.pdf`, `presentation_cleaned.pptx`, or `slide_cleaned.png` in the same folder.

### Batch process a folder
```bash
python3 remover.py ./my_folder/
```
Automatically detects and cleans all supported files (`.pdf`, `.pptx`, `.png`, `.jpg`, etc.) in the directory.

### Try before you commit (PDF only)
Check how it looks on just the first page:
```bash
python3 remover.py file.pdf --preview
```

## What's Inside

- `remover.py` - Core logic using PyMuPDF and OpenCV.
- `remover.spec` - PyInstaller configuration for Windows.
- `requirements.txt` - Core dependencies.
- `BUILD.md` - Instructions for building the executable.
- `LICENSE` - MIT License

## Want to Help?

Pull requests are welcome. Feel free to open an issue or contribute!

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