Text Analyzer - Free Word Counter & Character Count Tool

A text analyzer is a tool that measures a piece of writing. This text analyzer counts words, characters, sentences, and paragraphs, estimates reading time, and lists the words used most often in a passage of text.

How to use the text analyzer

1. Paste or type text into the input box. Text from Word, Google Docs, emails, or web pages all work.
2. Select Analyze. The tool runs entirely in the browser, so no text is sent to a server.
3. Read the results. Each statistic appears as a labeled number.
4. Edit the text and analyze again as many times as needed, for example while trimming an essay down to a word limit.

How word count is calculated

The tool splits the text at whitespace (spaces, tabs, line breaks) into separate tokens. A token counts as a word only if it contains at least one letter or number, so a lone punctuation mark or a string of dashes is not counted. This check works for any script, including Latin, Cyrillic, Greek, Arabic, and CJK characters, and is not limited to the English alphabet.

A hyphenated word such as "well-known" and a contraction such as "don't" each count as one word, because neither contains a space.

How character count is calculated

The tool reports two character counts:

• Characters (with spaces): every character in the text, including spaces and punctuation.
• Characters (no spaces): the same count after all whitespace is removed.

Both counts measure grapheme clusters, the user-perceived characters defined by the Unicode standard, rather than raw computer code units. This matters for emoji and other symbols that a computer stores as more than one code unit. For example, the text "Hi 👍🏽 there" has 10 characters by this method, even though the same string measures 13 raw code units, because the thumbs-up emoji with a skin-tone marker is one visible character but several code units.

How sentence count is calculated

Sentences are detected using the Unicode standard rules for sentence boundaries (Unicode Text Segmentation, UAX #29), not a simple search for a period, question mark, or exclamation point. These rules do not break after a period that is followed by a digit or by a lowercase word. The sentence "The U.S. economy grew 2.5%." therefore counts as one sentence, not three. An abbreviation followed by a capitalized word is different: "Dr. Smith arrived." is split after "Dr.", because the rules cannot tell that period from the end of a sentence.

How paragraph count is calculated

A paragraph is a block of text separated from the next block by at least one blank line. This matches the CommonMark definition of a paragraph as a sequence of non-blank lines. A single line break inside a block does not start a new paragraph, so text that has been hard-wrapped without blank lines between lines still counts as one paragraph.

Average words per sentence formula

1average words per sentence = word count ÷ sentence count
2

The result is shown rounded to one decimal place. This number is a rough guide to how easy the text is to read: shorter average sentences generally read more easily than longer ones.

Reading time formula

1reading time (minutes) = word count ÷ 225
2

The tool assumes a reading speed of 225 words per minute and rounds the result to one decimal place. A review of 190 reading studies found an average reading rate of 238 words per minute, so 225 gives a slightly cautious estimate. A 450-word passage, for example, gives a reading time of exactly 2.0 minutes.

How the most frequent words are found

The tool converts every word to lowercase and removes any character that is not a letter or a number, so "Dog," and "dog" count as the same word. It then counts how many times each unique word appears and lists the five most common, from highest count to lowest. When two words share the same count, the one that appeared first in the text is listed first.

Worked examples

Example 1

Text: "The quick brown fox jumps over the lazy dog. This sentence contains every letter of the alphabet."

Word count check: 17 whitespace-separated tokens contain a letter, so the word count is 17. Sentence count check: 17 ÷ 2 = 8.5, which matches the average shown.

Example 2

Text: "Hello world! This is the first paragraph.\n\nThis is the second paragraph with more content. It has multiple sentences to demonstrate the analyzer."

The blank line between the two lines of text marks a paragraph break, so the paragraph count is 2. The Unicode sentence rules split the text into four sentences: "Hello world!", "This is the first paragraph.", "This is the second paragraph with more content.", and "It has multiple sentences to demonstrate the analyzer." That gives 23 ÷ 4 = 5.75, which rounds to 5.8.

Edge cases

• Empty input: every metric shows zero.
• Whitespace only: treated the same as empty input.
• No blank lines: the whole text counts as one paragraph, even if it spans many lines.
• Languages without spaces: word counting depends on spaces between words, so it does not produce a meaningful result for languages such as Chinese, Japanese, or Thai that do not separate words with spaces. Character counting still works for any language.

Frequently asked questions

Does the word count match Microsoft Word?

Usually, yes, for ordinary text. Both count whitespace-separated tokens as words. Small differences can appear around hyphenated words or unusual punctuation, since different programs treat these cases slightly differently.

Why are there two character counts?

Different platforms count differently. Some character limits include spaces and some exclude them. Showing both counts avoids surprises when moving text between platforms.

Does an emoji count as one character?

Yes. The tool counts grapheme clusters, the units a reader sees as one character, so an emoji counts as a single character even though it may be stored internally as more than one code unit. Other platforms can differ: X, for example, counts every emoji as two characters toward its post limit.

How accurate is the sentence count?

The tool uses the Unicode standard rules for sentence boundaries, which correctly handle common cases such as decimal numbers ("2.5") and abbreviations followed by a lowercase word ("the U.S. economy"). An abbreviation followed by a capitalized name, such as "Dr. Smith", is still counted as a sentence break. No automatic method is perfect, but this approach avoids many failures of a simple search for periods and question marks.

Does this work for languages other than English?

Character counting works for any language. Word counting works for any language that separates words with spaces, such as Spanish, French, or German. It does not produce a meaningful word count for languages that do not use spaces between words, such as Chinese or Japanese.

Is there a limit on how much text I can analyze?

There is no fixed limit, and processing happens instantly for typical documents such as essays, blog posts, and emails. Very long documents, such as an entire novel, take slightly longer to process because the text is analyzed entirely in the browser.

References

1. Unicode Consortium. Unicode Standard Annex #29: Unicode Text Segmentation. UAX #29 — grapheme clusters as user-perceived characters; sentence boundary rules SB6 (no break before a digit) and SB8 (no break before a lowercase word).
2. CommonMark. CommonMark Spec, version 0.31.2. CommonMark Spec 0.31.2 — "A sequence of non-blank lines … forms a paragraph."
3. British Psychological Society, Research Digest. Most comprehensive review to date finds the average person's reading speed is slower than previously thought. BPS Research Digest — Brysbaert's review of 190 studies: average reading rate 238 words per minute.
4. X Corp. Counting characters. X developer docs: counting characters — emoji are weighted as 2 characters toward the 280-character post limit.