Word Frequency & Keyword Stats - Free Online Browser Tool

Analyzes document vocabulary, total word counts, and ranks top 40 keywords by frequency.

Word frequency analysis answers questions no other tool here does: which terms dominate a contract, which names recur in a set of reports, whether a document is padded with filler. This tool totals the words and ranks the top forty keywords by frequency.

This word frequency & keyword stats 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, Compare Extracted Text, Extract Text from Page Range, PDF to Excel (XLSX).

How to Use the Word Frequency & Keyword Stats Tool

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

  1. Load the PDF

    Drop in the document you want to analyse. It must have a text layer.

  2. Extract and tokenise

    The text is read and split into words, with punctuation and case normalised so counts are meaningful.

  3. Review the ranking

    Total word count is reported alongside the top forty keywords and their occurrence counts.

  4. Export the statistics

    Download the ranked list for reference, comparison across documents or further analysis.

Frequently Asked Questions

What happens if I run word frequency on a scanned document?

No. There is no text layer to analyse until the document has been through OCR, and the tool will report zero words on a scan.

Does it distinguish upper and lower case?

No, words are normalised to a single case before counting, so "Agreement" and "agreement" count as one term.

What is the most useful thing to do with the ranking?

Comparing documents. Run it on two versions of the same agreement and the difference in keyword frequencies shows quickly what a revision actually changed.

How many keywords are reported?

The top forty by frequency, which is enough to characterise a document without burying the signal in a full word list.

Does it count numbers and dates as words?

They are counted as tokens where they appear as separate text, so frequently referenced figures will show up in the ranking.