Prompt Engineering Words Count

Count Words in a Block of Text

Drop in any block of text and get a clean word count with the structure around it — useful when a word range is the spec.

Overview

Plenty of briefs come with a word range: a product description in 50 to 75 words, a summary under 100. This loads marketing copy so you can see the word count and the structure that shapes it — sentences, average sentence length, and reading time. A word count alone tells you the size; the structure tells you whether the copy is punchy or padded at that size. It measures words, not tokens — for what a model sees and bills, that's the Token Counter.

How to use this resource

  1. Paste the block

    Copy, a description, or a summary with a word range.

  2. Read the count

    Words plus sentences and average sentence length.

  3. Judge the density

    See whether the copy is punchy or padded at that count.

Why This Works

  • Many briefs specify a word range, making the count the spec
  • Structure shows whether the words are dense or padded
  • Words are a text unit — distinct from the model's tokens

Best for

  • Copy written to a word range
  • Product descriptions and summaries
  • Checking word count with structure

Not for

  • Token counts for a model — use the Token Counter
  • Character-capped fields — use the character view

FAQ

Why show sentence length and structure when I just want a word count?

Because a brief's word range tells you the size but not the density — so alongside Words the report adds Average sentence length and a TEXT STRUCTURE block (lines, paragraphs, sentences) to show whether copy is punchy or padded at that count. It's a browser measurement of your pasted text; judging punchy-versus-padded is still your read.

Is a word count the same as the tokens an AI model charges for?

It isn't — the report's NOTES spell out that characters count keystrokes, words count terms, and tokens are the model's sub-word units, so this word count won't match what a model bills. For that estimate the NOTES point to the Token Counter, and even that is an approximation since provider tokenizers differ.

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