A high-precision document enhancement tool that intelligently erases watermarks and stamps from PDF files while maintaining the original layout and text.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install camscanner-pdf-remove-watermark
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install camscanner-pdf-remove-watermark using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The CamScanner PDF Remove Watermark skill provides developers and users with a professional-grade document enhancement engine. It is designed to intelligently detect and erase overlaid watermarks, stamps, and translucent logos across every page of a document. Unlike basic editors, this tool preserves the underlying text and original layout, ensuring the resulting file is clean, legible, and ready for professional use.
By integrating this tool into your collection of Openclaw Skills, you gain the ability to automate the cleaning of restricted or branded documents. It handles complex PDF structures by offering a robust three-step pipeline: upload, process, and download, or a streamlined two-step raw streaming workflow for immediate file recovery.
To use this skill, ensure your environment has the necessary binaries installed to handle network requests and JSON parsing.
# Ensure curl and jq are installed
sudo apt-get update && sudo apt-get install curl jq
You can then initiate the workflow by uploading your file to the base URL https://ai-tools.camscanner.com using a POST request with the binary data.
The skill manages document data through temporary identifiers and configurable parameters to ensure high-quality output.
| Parameter | Type | Description |
|---|---|---|
| file_id | String | The session-specific ID generated during the upload phase. |
| dpi | Integer | The rendering resolution for processing (recommended value: 144). |
| timeout_sec | Integer | Maximum processing time allowed, essential for large multi-page PDFs. |
| output_mode | String | Determines if the response is a file reference or raw binary data. |
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