Free Word Counter Measuring Text Without Changing a Word
Every tile below updates as you type: words, characters, sentences and paragraphs, plus reading and speaking time, a repetition check and a progress bar toward whatever length you are writing to. The counting runs on the same Unicode segmentation your operating system uses, which is what keeps a word counter accurate once hyphens, ellipses or a script without spaces enters the text. The text you paste is measured and reported. None of it is rewritten.
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Words
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Characters
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No spaces
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Sentences
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Paragraphs
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Unique words
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Avg words / sentence
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Reading time
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Speaking time
Most used words
Repeated words show up here; heavy repetition is one of the patterns AI detectors score.
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Watching your count update in three steps
Paste or write your text
Every statistic recalculates on each keystroke: no button to press, no length ceiling to hit first.
Pick a length target
Choose an abstract, essay or article preset, or type a custom number, and a progress bar shows the distance to it.
Read the detail stats
Average sentence length and the most repeated words describe how the text reads, beyond the raw count.
What the counter measures beyond the total
Correct in scripts without spaces
Chinese, Japanese, Thai and other languages that do not separate words with spaces are segmented properly instead of counted as one long word.
Presets for common length limits
Abstract, statement of purpose, essay and article targets, each with a live bar showing how far the current draft sits from the limit.
Reading and speaking pace
Estimates built on measured reading speed and a realistic presentation pace, useful before a talk, a video or a word-capped summary.
Sentence and repetition detail
Average words per sentence and the five most frequent words expose rhythm and repetition that the headline count alone will not show.
Why one passage produces three different counts
Word, character and sentence counts sound like the same kind of fact and are actually three separate measurements with three separate rules. A word count depends on how a tool decides where one word ends and the next begins: split on spaces alone and a hyphenated term like fine-tuned counts as one unit in some tools and two in others. A character count depends on whether spaces are included, which is exactly why this tool reports both figures side by side. A sentence count depends on how abbreviations and decimal points get told apart from a genuine full stop, since e.g. and 3.14 both contain a period that is not the end of anything. Microsoft Word, Google Docs and a journal's own submission system resolve each of these differently, which is the entire reason one paragraph can return three different totals.
Reading and speaking time are estimates layered on top of the raw count, not additional facts about the text. The reading figure here assumes 238 words a minute, the adult silent reading speed reported in a large meta-analysis of reading research; the speaking figure assumes 150 words a minute, a pace comfortable for a live presentation rather than a rushed one. Dense technical prose reads slower than either number, and a practiced speaker varies the pace on purpose, so both figures are a starting estimate to check a script against, not a deadline to hit exactly.
The count also describes rhythm once you look past the total. Average sentence length is the fastest signal: a paragraph where every sentence lands within a few words of the same length reads flatter than one that mixes short and long. A top-word list dominated by a single noun points at the same flatness from a different angle. Neither problem shows up in the headline number, which is why the detail stats sit right below it.
Who relies on this word counter
Coursework and essay writers
Assignment and essay limits get tracked live, with the average-sentence stat surfacing repetitive phrasing before a grader does.
Researchers and academics
Abstracts, cover letters and other capped sections get measured against the venue's stated limit instead of a rough guess.
Marketing and content teams
Briefs and meta-length constraints get hit on the first draft, and reading time gets checked before an article or newsletter goes out.
Writers in non-English scripts
Chinese, Japanese, Thai and dozens of other unspaced scripts get counted correctly, which is exactly where a plain space-split counter fails.
The count only tells you the length.
It says nothing about how the sentences read.
A flat average sentence length or a handful of overused words are patterns the count surfaces but cannot fix on its own. The TextPulse humanizer rewrites rhythm and word choice across the draft, with every change tracked and citations left exactly where they were.