Prompt Engineering Text Length

Character Counter

Paste any text and see characters, words, lines, and reading time at once — plus whether it fits Twitter, SMS, and meta-description limits.

Overview

Most character counters give you one number and stop. This one measures length the way a writer actually needs it: characters with and without spaces, words, sentences, lines, reading and speaking time, and — the part that matters — whether the text is under or over the limits that bite, from Twitter's 280 to a 160-character meta description. This loads a single paragraph so you can see the full read-out at a glance. It measures text for people and platforms; for model tokens and cost, that's the Token Counter.

How to use this resource

  1. Paste the text

    Any text — the report shows counts only, never echoes your content.

  2. Read every metric

    Characters, words, lines, sentences, and reading time together.

  3. Check the limits

    See at a glance which platform limits the text fits or busts.

Why This Works

  • Every length metric a writer needs is in one read-out, not just a single count
  • Platform-limit checks turn a raw number into a go / no-go for where it ships
  • Counts only — your text is measured, not echoed back

Best for

  • A fast, complete length read-out
  • Checking text against platform limits
  • Writers and marketers sizing copy

Not for

  • Counting tokens or estimating cost — that's the Token Counter
  • Deciding context-window fit — that's the Context Window Estimator

FAQ

Does the character counter check if my text fits a meta description or tweet?

Yes. The PLATFORM NOTES section checks length against common limits and reports over/under for each: X/Twitter (280), SMS (160), meta description (160), Google title tag (60), Instagram (2,200), and LinkedIn (3,000). It shows how many characters you're over or how many remain. It runs in your browser and measures counts only; it never echoes your pasted text back.

Why does this measure characters instead of tokens for an AI prompt?

Because a character is not a token. The NOTES spell out that characters count keystrokes while tokens are the model's sub-word units, and PLATFORM NOTES adds that AI model inputs are measured in tokens, not characters. This report targets people and platforms, with reading time at ~200 wpm. For token counts and window fit, it hands off to the Token Counter and Context Window Estimator.

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