gamma-watermark-remover 1.0.0

Remove the "Made with Gamma" watermark from PDF and PPTX exports — structural, lossless, offline.

Gamma Watermark Remover

Remove the "Made with Gamma" watermark from PDF and PowerPoint (.pptx) files exported from Gamma.app free accounts — structurally, losslessly, and completely offline.

Don't want to install Python? The same engine runs 100% in your browser (WebAssembly, no upload, no signup) at gammaremover.com — your files never leave your device.

Before / After

Before	After

Why this tool

The Gamma badge in an exported file is a separate document object — an image with a gamma.app hyperlink in PDFs, a hyperlinked shape on the slide master in PPTX files. That means it can be deleted, not painted over:

• Lossless — text stays selectable, slides stay fully editable; nothing is re-rendered or rasterized
• Offline — pure Python, runs locally; nothing is uploaded anywhere
• Precise — only objects linked to gamma.app/gamma.to are targeted; your content is never touched
• Honest — if an export flattened the badge into the page image (rare), the tool tells you instead of silently failing

Install

pipx install gamma-watermark-remover
# or
pip install gamma-watermark-remover

Or straight from source:

git clone https://github.com/gammaremover/gamma-watermark-remover.git
cd gamma-watermark-remover
pip install .

Usage

CLI

# single file → writes deck-no-watermark.pdf next to it
gamma-watermark-remover deck.pdf

# custom output path
gamma-watermark-remover deck.pptx -o clean.pptx

# batch
gamma-watermark-remover exports/*.pdf exports/*.pptx

Example output:

deck.pdf: removed 12 watermark object(s) across 6 page(s) → deck-no-watermark.pdf

Python API

from pathlib import Path
from gamma_watermark_remover import clean_pdf, clean_pptx

result = clean_pdf(Path("deck.pdf").read_bytes())
Path("clean.pdf").write_bytes(result.cleaned)
print(result.removed, "objects removed,", result.units, "pages")

result = clean_pptx(Path("deck.pptx").read_bytes())
Path("clean.pptx").write_bytes(result.cleaned)

How detection works

Transparency matters for a tool like this, so here is the exact logic:

PDF (pypdf): every page is scanned for (1) link annotations whose URI resolves to gamma.app/gamma.to — these are dropped, and (2) the draw operation of the small bottom-right image that forms the badge. The content stream's transformation matrix is tracked through q/Q/cm operators so each image's true position and size are known; a size guard (≤45% page width, ≤25% height) guarantees full-page/background images are never touched. If a gamma link exists but no discrete badge image is found, the file is flagged may_remain — the badge was probably flattened into the page raster.

PPTX (python-pptx): Gamma stores the badge on the slide layouts/masters, which is why it appears on every slide. All masters, layouts, and slides are scanned; a shape is removed only if it (or a text run inside it) carries a gamma.app/gamma.to hyperlink, or its shape name contains gamma. Position alone never triggers removal, and the tool deliberately does not match bare "Made with" text — that would delete legitimate user content.

Web version

gammaremover.com runs this same engine in your browser via Pyodide (WebAssembly):

• no installation, works on phones too
• no upload — processing is local, files never reach a server
• PDF preview of the cleaned result before download
• free, no account, no file limits

Responsible use

This tool is for cleaning the export branding from files you created or have the right to modify — client decks, class submissions, portfolio pieces you authored. It is not for altering other people's work. Gamma's official watermark-free path is its paid plan, which also includes unlimited AI credits; if you use Gamma heavily, it may genuinely be worth it. Keep your original exports and review cleaned files before sharing.

License

MIT