All Tools

Word & Character Counter

Count words, characters, sentences, paragraphs, and estimate reading time, updated instantly as you type.

99
Words
587
Characters
487
No Spaces
5
Sentences
3
Paragraphs
1 min
Read Time
Avg word length4.9 chars
Avg sentence length20 words
Speaking time1 min

Tips & Guide

Twitter / X character limit

Standard tweets are limited to 280 characters. Watch the character count to stay within limits, especially when including links (which count as 23 characters each).

SEO meta descriptions

Google typically displays 150–160 characters of a meta description. Keep yours under 160 characters to avoid truncation in search results.

Reading time estimation

This tool uses 200 words per minute, a common benchmark for online reading. Academic or technical content is typically read at 100–150 wpm, so adjust your expectations accordingly.

Blog post length for SEO

In-depth blog posts of 1,500–2,500 words tend to rank better in search engines than shorter posts. Long-form content gives more opportunity to cover a topic thoroughly.

Email subject lines

Keep email subject lines under 60 characters so they display fully on mobile. Aim for 30–50 characters for the best open rates.

LinkedIn posts

LinkedIn posts are truncated after 210 characters with a 'see more' link. Put your most compelling sentence within the first 200 characters to hook readers before the cut-off.

Count words, characters, sentences, paragraphs, and estimated reading time in real time. Type or paste any text and all statistics update instantly as you type.

How to use the Word & Character Counter

  1. Type directly into the text box, or paste existing text using Ctrl+V (Cmd+V on Mac).
  2. Word count, character count (with and without spaces), sentence count, paragraph count, and reading time all update instantly.
  3. Reading time is estimated at 200 words per minute — a standard benchmark for online reading.
  4. Use the Copy button to copy the text, or Clear to reset.

Examples

A 500-word blog introduction

Reading time: 2.5 minutes — verify it fits your target word count

A Twitter/X post

Watch the character count — standard tweets are limited to 280 characters

A Google meta description

Keep under 160 characters to avoid truncation in search results

A LinkedIn post

LinkedIn truncates after 210 characters — put your hook in the first 200

The average adult reads 200–250 words per minute, though speed varies with content complexity. Academic papers and legal documents are typically read at 100–150 wpm. The fastest verified reading speed with full comprehension is around 400–500 wpm.

Frequently asked questions

How does the word counter work?

The counter splits your text on whitespace — every sequence of non-whitespace characters counts as one word. Punctuation attached to a word (commas, full stops, hyphens) is counted as part of that word, matching the behaviour of most word processors.

How is reading time calculated?

Reading time is estimated at 200 words per minute, the widely accepted average for adults reading online content. Academic, technical, or code-heavy text tends to be read at 100–150 wpm, so allow extra time for those formats.

What counts as a sentence?

Sentences are counted by splitting on full stops, exclamation marks, and question marks, then filtering out empty segments. Abbreviations such as 'Mr.' or 'e.g.' can slightly inflate the count — this is a deliberate trade-off to keep the logic fast and lightweight.

What are the character limits for major platforms?

Twitter/X: 280 characters per tweet. LinkedIn: posts are visible in full up to about 3,000 characters; shorter posts are truncated at 210 characters with a 'see more' link. Instagram captions: 2,200 characters. Google meta descriptions: 150–160 characters. SMS: 160 characters per message segment.

Does it count characters with or without spaces?

Both. The counter shows 'Characters' (including spaces) and 'No Spaces' (excluding all whitespace). The 'No Spaces' figure is useful for platforms that count visible characters only, and for estimating dense text density.