name: removing-notebooklm
description: Remove the NotebookLM watermark from PDFs (presentations) and images (infographics) automatically. Use when the user wants to remove the NotebookLM watermark, eliminar el watermark, quitar la marca de agua.

/removing-notebooklm — Remove NotebookLM Watermark

Remove the NotebookLM watermark from PDFs and images automatically.

Usage

/removing-notebooklm <file> [--output <path>]

Arguments:

• file (Required): Input file to process
• PDF: Multi-page presentations (e.g., presentation.pdf)
• PNG/JPG: Single images/infographics (e.g., infographic.png)
• --output (Optional): Custom output path (default: {name}_clean.{ext})

No argument = show this usage.

Prerequisites

Run initializing-environment first to ensure Python environment is ready.

Tools required in .claude/_tooling/.venv/:

• Pillow — Image processing
• pymupdf — PDF processing
• opencv-python — Inpainting algorithm

Command

# Default output (adds _clean suffix)
.claude/_tooling/.venv/Scripts/python.exe .claude/skills/removing-notebooklm/scripts/removing-notebooklm.py "<file>"

# Custom output path
.claude/_tooling/.venv/Scripts/python.exe .claude/skills/removing-notebooklm/scripts/removing-notebooklm.py "<file>" --output "<output>"

Examples

/removing-notebooklm presentation.pdf
→ Creates presentation_clean.pdf

/removing-notebooklm infographic.png
→ Creates infographic_clean.png

/removing-notebooklm input.pdf --output final.pdf
→ Creates final.pdf

Output Format

Processing PDF: presentation.pdf
Pages: 12
  Page 1/12
  Page 2/12
  ...
  Page 12/12
Saved: presentation_clean.pdf

✅ Done

How It Works

Watermark Specifications

Inpainting Algorithm

Uses OpenCV's Telea inpainting algorithm to seamlessly reconstruct the background:

• Creates a mask over the watermark area
• Propagates surrounding pixels into the masked region
• Works with complex backgrounds (textures, patterns, gradients)

Supported Formats

Behavior

1. Check argument: If no file provided, show usage and exit
2. Run initializing-environment: Ensure Python environment is ready
3. Validate file: Check file exists and format is supported
4. Process file: Remove watermark using appropriate method
5. Save output: {original_name}_clean.{extension}

Notes

• Output file is saved in the same directory as input
• Original file is not modified
• Requires: Python environment (handled by initializing-environment)