Word Counts

When to use Word Counts

• Checking meta description and title length: Paste your meta title or description to verify character count before publishing - Google truncates titles above approximately 580 pixels (roughly 60 characters) and descriptions above 155-160 characters.
• Social media copy preparation: Verify that a post draft fits within platform character limits: X (280), LinkedIn post (3,000), LinkedIn article (125,000), Instagram caption (2,200).
• Estimating reading time for long-form content: Add a "5 min read" label to articles with confidence - paste the article text to get an accurate reading time estimate rather than guessing.
• Presentation and script timing: Use the speaking time estimate to determine whether a presentation script fits within a time slot before rehearsing.

How word, character, and reading time counts are calculated

The Word Count tool tokenises your text to produce six metrics: character count (with and without spaces), word count, sentence count, paragraph count, and estimated reading time. Each metric is calculated from the raw text string using well-defined rules.

Character count with spaces is simply the length of the string. Character count without spaces removes all whitespace characters (space, tab, newline, carriage return) before counting - this is the metric relevant for social media platforms that limit characters (X's 280-character limit counts spaces; some platforms do not). Word count splits the text on whitespace boundaries and filters out empty tokens, counting the resulting array's length. This matches the method used by most word processors and is accurate for Latin-script text; CJK (Chinese, Japanese, Korean) text requires a different approach (character-based rather than whitespace-based) which the tool handles by detecting character ranges.

Reading time is estimated using the average adult silent reading speed of 238 words per minute, derived from a 2019 meta-analysis by Brysbaert (Reading and Writing, Springer) covering 190 studies across 17 languages. This figure is more conservative than the frequently cited 200-250 wpm range and reflects reading speed on screens rather than print. The tool also estimates speaking time at 130 words per minute - the average pace for clear public speaking - which is useful for estimating podcast or presentation duration.