One file at a time works fine for a single deck. But if you are a teacher cleaning a semester of lesson exports, a consultant processing client decks, or a student who generated 20 variations — you need batch processing. This guide covers every method that handles multiple Gamma exports in one go, from zero-setup to fully automated.
Method 1: Python CLI (recommended for 10+ files)
The open-source gamma-watermark-remover package installs in one command and processes any number of PDF and PPTX files from your terminal:
pip install gamma-watermark-remover
Clean a single file:
gamma-watermark-remover input.pptx -o cleaned.pptx
Clean every Gamma export in a folder:
gamma-watermark-remover *.pptx *.pdf -o cleaned/
The tool removes the gamma.app-linked badge shape from PPTX slide masters and the watermark image object from PDFs — the same structural approach as the browser tool, but scriptable. Files are processed locally; nothing is uploaded.
Works on: Windows, macOS, Linux. Requires Python 3.9+.
Method 2: Python script (for custom workflows)
If you need more control — filtering by filename, logging results, or integrating into a larger pipeline — use the library directly:
from gamma_watermark_remover import remove_watermark
files = [\"deck1.pptx\", \"deck2.pptx\", \"report.pdf\"]
for f in files:
result = remove_watermark(f, output_dir=\"cleaned/\")
print(f\"{f}: {'cleaned' if result.removed else 'no watermark found'}\")
This is the same engine as the CLI, exposed as a Python API. You can combine it with glob, os.walk, or any file-discovery logic.
Method 3: Browser tool (1-5 files)
For a handful of files, the browser-based remover is the fastest zero-setup option:
- Open the PPTX remover or PDF remover.
- Drop a file, download the cleaned version.
- Repeat for each file.
No installation, no account, works on any device. The trade-off is that it processes one file at a time — fine for 3 files, tedious for 30.
Method 4: MCP server (for AI agent workflows)
If you use Claude, Cursor, or another AI coding assistant, the gamma-watermark-remover-mcp server lets your agent clean files as part of a larger workflow — for example, "download all the Gamma exports from this folder, clean them, and organize by client name."
Install via pip and add to your MCP config:"
pip install gamma-watermark-remover-mcp
The agent calls the MCP tool with each file path; the server processes locally and returns the cleaned file. See the MCP developer page for setup details.
Batch methods compared
| Python CLI | Python script | Browser tool | MCP server | |
|---|---|---|---|---|
| Setup | pip install |
pip install |
None | pip install + config |
| Files per run | Unlimited | Unlimited | 1 | Per agent call |
| Automation | Shell scripts, cron | Full Python | Manual | AI agent driven |
| Best for | Teachers, bulk cleanup | Developers, pipelines | Quick one-offs | AI workflows |
Frequently asked questions
Can I batch-process a mix of PDFs and PPTXs in one command?
Yes. The CLI accepts both formats: gamma-watermark-remover *.pptx *.pdf -o cleaned/. Each file is detected and processed with the appropriate engine.
Does the batch tool handle PNG exports? No — PNG watermarks are burned into the pixels and cannot be structurally removed. For PNGs, clean the PPTX first, then re-export as images. See the PNG export guide.
Is the batch tool free? Yes. The CLI, Python library, and MCP server are all open source (MIT license) and free to use. The browser tool is also free.
Will batch processing break my files? No. The tool only removes the specific shape linked to gamma.app from the slide masters (PPTX) or the watermark image object (PDF). Every other element stays untouched. If a file has no Gamma watermark, it passes through unchanged.