Extract Text from Page Range - Free Online Browser Tool

Pull the text out of only the pages you need, instead of the whole document.

Extracting a four hundred page report to read one chapter is slow and produces a file full of text you have to search through. Scoping the extraction to a page range gives you exactly the section you wanted, and a report of what was actually found.

This extract text from page range utility runs completely inside your web browser. Your document is opened locally and processed on your own device using JavaScript and WebAssembly, so your file is never uploaded to any server. There is no signup, no watermark and no limit on how many documents you can handle.

  • 100% client-side - files never leave your device
  • Instant processing, no upload wait
  • Works on desktop, tablet and mobile
  • Free forever, no account required

Common next steps: Extract Plain Text, Search Text in PDF, Word Frequency & Keyword Stats, PDF to Markdown.

How to Use the Extract Text from Page Range Tool

Four steps, and the whole thing runs locally on your own device.

  1. Load the document

    Works on any PDF with a text layer.

  2. Name the pages

    Leave blank for the whole document, or enter something like 12-18, 40.

  3. Choose an output

    Plain text with page markers, CSV with one row per page, or JSON with the structure preserved.

  4. Download and read the summary

    The summary reports characters extracted and how many pages had no text layer at all.

Frequently Asked Questions

Why does it report pages with no text?

Because they are almost certainly scans, where the characters are pixels rather than text. That report is the quickest way to tell whether a document needs OCR before anything else you do to it.

Which output should I choose?

CSV for anything you intend to work with in a spreadsheet, JSON if you are feeding another program, plain text for reading and quoting.

Does the extracted text keep its spacing?

Yes. Runs of spaces are normalised but word boundaries are preserved, so columns and indents survive well enough to read a quoted passage back.

Can I extract from a password-protected file?

Only if your browser can open it. An encrypted document whose password you do not have cannot be read here, and the tool will say so rather than returning nothing.

What about text inside images on a digital page?

Not extracted. Anything that is a picture of text, including a logo rendered as an image, needs OCR regardless of how the rest of the page was made.