Gamma Watermark Remover

A high-performance local web utility designed to strip "Made with Gamma" branding from PDF and PowerPoint (.pptx) documents exported from Gamma's free tier.

The application leverages a FastAPI backend to perform heuristic-based document surgery, identifying and removing watermark objects based on metadata and spatial coordinates.

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Key Features

PDF Processing

• Engine: PyMuPDF (Fitz)
• Detection: Scans page dictionary objects for external links associated with the gamma.app domain
• Action: Redacts and removes image objects and associated link annotations typically found in the bottom-right quadrant of the page

PPTX Processing

• Engine: python-pptx
• Detection: Gamma injects watermarks into Slide Layouts (Masters) rather than individual slides
• Action:
  • Inspects shapes within layouts
  • If a shape contains a gamma.app hyperlink and its position coordinates (x, y) exceed 70% of the slide dimensions, the object is purged from the XML structure

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Technical Setup

Prerequisites

• Python 3.10 or higher

1. Initialize Repository

git clone https://github.com/Aditya-233/Gamma-Watermark-Remover.git
cd Gamma-Watermark-Remover

2. Environment Configuration

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

3. Launch Application

python app.py

Access the interface at: http://localhost:8999

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Architecture & Logic

The tool employs a two-phase pipeline:

1. Non-destructive analysis phase
2. Destructive removal phase

Core Heuristics

• Coordinate Heuristics: Watermarks are identified if their bounding box resides in the region where Gamma anchors branding
• Hyperlink Validation: Only elements linking to gamma.app or containing "Gamma" metadata are targeted to prevent false positives (e.g., user-added images in corners)
• Layout Cleansing: Targeting PPTX Master Layouts enables global removal with minimal computational overhead

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Dependencies

Library	Purpose
fastapi	REST API & routing
uvicorn	ASGI server
pymupdf	PDF object manipulation
python-pptx	OpenXML presentation processing
jinja2	Frontend templating

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Disclaimer

• This software is provided for educational and personal research purposes only
• The author is not affiliated with Gamma
• Users are responsible for complying with the Terms of Service of the original platform
• If you find Gamma's service valuable, consider supporting the developers by subscribing to their Pro plans

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Author: Aditya-233