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Text Statistics

Detailed statistics for any text: word count, character count, average word length, sentence count, estimated reading time, and a frequency table of the most-used words.

0
Words
0
Characters
0
Chars (no spaces)
0
Sentences
0
Paragraphs
1 min
Reading time
0
Avg. word length
Longest word

How to use Text Statistics

  1. Paste an essay, article, blog draft, or any block of text into the box.
  2. Read the live stat cards: word count, characters with and without spaces, sentences, paragraphs, reading time, average word length, and the longest word.
  3. Scan the "Most-used words" table to see which terms dominate your writing and how often they repeat.
  4. Edit your text in place — every number and the frequency table update instantly as you type.
  5. Use the figures to hit a length target or trim overused words. The stats and the frequency table are both built in the page, so your document stays with you.

Understanding your text at a glance

A raw word count only tells part of the story. This analyzer breaks any text down into eight live metrics plus a most-used-words table, so you can see not just how long a piece is but how it is structured and which words carry it. Everything recalculates as you type, making it a useful companion while you write and edit rather than just a final check.

The metrics, and what they tell you

  • Words and characters — for hitting length limits on essays, posts, and meta descriptions.
  • Characters without spaces — some platforms and style guides count this way.
  • Sentences and paragraphs — a sense of pacing and structure.
  • Reading time — roughly how long an average reader needs, at ~230 words per minute.
  • Average word length — a quick readability signal; shorter usually reads easier.
  • Longest word — handy for spotting an accidental run-on or an unbroken URL.

Why the word-frequency table matters

The most-used-words list reveals patterns you cannot see while reading your own draft. It exposes crutch words you lean on, confirms that your key topic actually appears often, and warns you when a term is repeated so much it starts to grate. For writers, it is a fast way to diversify vocabulary; for anyone optimising a page, it is a quick check that the subject is front and centre.

Using stats while you edit

Because the numbers update live, you can edit toward a target instead of guessing. Trimming a blog post to a word limit, expanding a thin section, lowering the average word length for a broader audience, or cutting an over-used phrase all become measurable rather than instinctive. The longest word and sentence counts also flag structural problems — an enormous longest word is often a missing space or a stray link.

Estimates, not absolutes

Reading time and sentence counts are heuristics. Dense, technical writing reads slower than the average pace, and abbreviations can nudge the sentence count. Use the figures as reliable guidance for editing decisions, not as exact measurements.

Analysis that never travels

Counting words, measuring averages, and tallying the frequency table are all done in the page from the text you pasted. There is no analysis server in the loop, so a published article and a confidential draft are treated exactly the same way — computed instantly and kept entirely in your tab.

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Frequently asked questions

What counts as a word?
Anything separated by whitespace. Hyphenated terms like "in-browser" count as a single word, and contractions like "don’t" count as one. This whitespace-based definition matches how most word processors and editors count, so the numbers will line up with what you see elsewhere.
How is reading time estimated?
Reading time assumes a silent reading pace of about 230 words per minute, which is a widely used average for adult readers of general prose. It is rounded up to at least one minute. Technical or dense material reads slower, so treat the figure as a reasonable estimate rather than an exact timing.
Why are one-letter words left out of the frequency table?
Single-character tokens like "a" and "I" are almost always the most frequent words in any English text but carry little insight. The frequency table starts at two characters so it surfaces the meaningful terms — the nouns and verbs that reveal what your text is actually about.
What is the "average word length" useful for?
It is the mean number of characters per word and gives a rough readability signal. Shorter average word length usually means simpler, more accessible writing; a high average can hint at jargon or overly long vocabulary. Watching it while you edit helps you tune the reading level.
How does it count sentences and paragraphs?
Sentences are detected by splitting on terminal punctuation (. ! ?), and paragraphs by splitting on blank lines (two or more consecutive newlines). Sentence detection is heuristic, so abbreviations like "Dr." or "e.g." can occasionally inflate the count, but it is accurate for ordinary prose.
Can I use the frequency table for SEO or keyword checking?
Yes, as a quick sense check. The most-used words show whether your target term actually appears prominently and whether you are over-repeating a word. For dedicated keyword density percentages and multi-word phrases, the Keyword Density tool is more thorough.
Does it work on non-English text?
Word, character, and line counts work on any language. The frequency table is tuned for Latin-script words — it strips non-letter characters — so it is most useful for English and other Latin-alphabet languages.
Is my text uploaded or stored?
No. The metrics and the word-frequency tally are both calculated in the page from text it already holds, so nothing is sent to a server, logged, or kept — drafts, confidential documents, and unpublished work never leave your tab.

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