PDF Splitter: Extract Pages from Any PDF Instantly

Securely split and extract specific pages from your PDF documents directly in your browser without uploading files.

Managing large PDF documents can be frustrating when you only need a single page or a small section. Instead of dealing with clunky desktop software or risking your data privacy by uploading sensitive documents to a random server, our PDF Splitter allows you to extract pages instantly—all directly within your browser.

Why use our PDF Splitter?

  • Absolute Privacy: Your documents never leave your device. All processing happens locally in your browser.
  • Fast Extraction: Because there's no uploading or downloading, extraction is virtually instant.
  • Visual Page Selection: Easily pick the exact pages you want to keep with visual thumbnails.

Fast workflow

  1. Select or drag-and-drop your PDF file into the tool.
  2. The tool will instantly parse your PDF and display all pages.
  3. Click on the pages you want to extract or type a range (e.g., 1-5).
  4. Click Split PDF and save your new extracted document instantly.

Pro tips

  • Extracting Signatures: This tool is perfect for quickly grabbing the signature page of a contract to send to HR.
  • Breaking Down Ebooks: If an ebook is too large, you can split it by chapters for easier reading.
  • Confidential Information: Because it runs 100% locally, you can safely use this tool on confidential financial or legal documents.

Checklist

  • PDF is not password protected (our tool cannot process encrypted files).
  • You know exactly which pages you want to extract.

FAQ

Does this tool upload my PDF to a server? No! We use modern WebAssembly technologies (pdf-lib) to process the PDF entirely inside your web browser. Your data remains strictly on your device.

Is there a file size limit? The only limit is your device's memory. Most modern browsers can handle PDFs up to 100MB with ease.

Does it reduce the quality of the pages? No, the tool extracts the pages exactly as they are without modifying the underlying text or image quality.


Try the tool

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