Prompt

How do I stamp a PDF with page numbers or a watermark?

Technology / Developer Tools1 observationLast seen Oct 12, 2026

Latest observation

Oct 12, 2026OpenAI APIWeb search: off

You can “stamp” a PDF with page numbers or a watermark in a few common ways, depending on the tool you’re using.

1) Adobe Acrobat Pro

Add page numbers

  1. Open the PDF in Adobe Acrobat Pro.
  2. Go to Tools → Edit PDF.
  3. Choose Header & Footer → Add.
  4. Click Page Number and Date Format or insert page-number fields in the header/footer areas.
  5. Set font, alignment, and page range.
  6. Click OK.

Add a watermark

  1. Go to Tools → Edit PDF.
  2. Choose Watermark → Add.
  3. Enter text or choose an image.
  4. Adjust rotation, opacity, position, and page range.
  5. Click OK.

2) Using command-line tools

If you want to automate this, command-line tools are handy.

With pdftk (stamp/underlay)

You can create a stamp PDF first, then apply it to each page:

pdftk input.pdf stamp watermark.pdf output output.pdf

Or:

pdftk input.pdf background watermark.pdf output output.pdf

With qpdf + a stamp PDF

You generally create a PDF containing the watermark or page number layout, then overlay it on the target PDF.

With Python

Using libraries like:

  • reportlab to generate a stamp PDF
  • pypdf (or PyPDF2) to merge it onto each page

Example idea:

  1. Generate a one-page watermark PDF with reportlab.
  2. Overlay it onto every page with pypdf.

3) In Word/LibreOffice before exporting to PDF

If you’re creating the PDF yourself:

  • Add page numbers in the document footer/header.
  • Add a watermark through the document editor.
  • Export as PDF afterward.

4) Online PDF editors

Many web tools let you:

  • upload a PDF,
  • add page numbers in the header/footer,
  • add text/image watermarks,
  • download the stamped PDF.

Be careful with sensitive documents if you use online services.


If you want, I can give you:

  • a step-by-step guide for a specific app,
  • a Python script to stamp every page,
  • or a command-line solution for Windows/macOS/Linux.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

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