Word Counter

Introduction:

A draft can miss its target before anyone reads the argument. Word caps, form limits, caption space, script timing, and prompt budgets all turn text length into an editing constraint, so the first measurement often decides whether to cut, expand, split, or rewrite.

Word count sounds exact until the text contains contractions, hyphenated terms, decimal numbers, accented names, initials, bullets, or pasted table cells. Counting rules decide whether 12.5 counts as a token, whether Cafe and café are grouped, and whether uppercase and lowercase forms stay separate. Two editors can measure the same passage differently because their token rules differ, not because one of them is careless.

• Use word totals for length caps, submission limits, and rough reading or speaking time.
• Use frequency and repeated phrase counts to find accidental repetition before a human line edit.
• Use readability scores as warning signals, not as proof that the writing is clear or suitable for its audience.

Length, repetition, and readability answer different editing questions. Word totals answer whether the draft fits. Sentence and paragraph counts show how the text is divided. Frequency lists reveal repeated words that may be useful terms, search keywords, topic drift, or accidental clutter. Readability formulas estimate effort from sentence length and syllable patterns, but they do not know whether the message is accurate, useful, well ordered, or right for the reader.

How to Use This Tool:

Start with the text you want to measure, then decide whether the job is a strict length check, a repetition review, or a comparison between drafts.

1. Paste text into Text, drop a plain TXT file onto the box, or choose Browse TXT for a longer draft.
2. Check the summary first. It shows Word Count, sentence and paragraph totals, estimated reading time, unique words, character count, readability band, lexical density, and the top word badge.
3. Open Advanced before comparing versions. Set Case sensitive, Include numbers, Remove stop words, Normalize accents, and Minimum word length once, then keep those settings unchanged for every draft in the comparison.
4. Choose N-gram size and N-grams across sentences when repeated phrasing matters. Use one word for basic frequency, two words for repeated openings, and three words for longer repeated phrasing.
5. Review Text Statistics for the main counts and readability values, then open Word Frequency and Repeated Phrases when the draft feels repetitive.
6. Open Word Frequency Chart, Word Length Chart, and Sentence Length Chart to spot concentration and outliers. Use JSON when the same measurements need to travel with an editing note or report.

If the sentence count, readability score, or phrase list looks surprising, check punctuation, abbreviations, decimal numbers, list bullets, and copied table cells before treating the result as an editing fact.

Interpreting Results:

Use the headline counts for limits and the deeper tables for editing judgment. A draft can meet a word cap and still be unclear, and a readable score can hide repeated wording that distracts the intended audience.

For readability bands, treat Easy read, Plain read, Dense read, and Very dense as editing prompts. They are not pass/fail grades, and they should not replace a reader review of accuracy, order, and tone.

Technical Details:

Text counting is a tokenization problem before it is a statistics problem. The same visible sentence can produce different totals when numbers are included, accents are folded, case is preserved, stop words are removed, or short tokens are filtered out. Those choices affect word count, unique word count, frequency rankings, repeated phrases, readability inputs, and histograms.

Sentence measurement uses punctuation boundaries, so periods, question marks, and exclamation marks carry more weight than line breaks. That is convenient for prose, but it can misread abbreviations, decimal numbers, bullet lists, initials, or pasted fragments. Paragraph count is based on blank-line separation, while line count follows line breaks in the pasted text.

Word boundaries are not universal across writing systems. Unicode defines general text segmentation rules, but practical word counters still choose their own policy for scripts, punctuation, and language-specific dictionaries. A pragmatic word-like rule works for many space-separated drafts, but language-aware review is still needed when exact boundaries matter for text without spaces between words.

Transformation Core:

Formula Core:

Readability formulas use average sentence length and average syllables per word. The syllable value is an estimate, so the score is best read as a warning signal rather than an exact measure of comprehension.

Readability Bands:

Advanced Tips:

• Keep Case sensitive, Include numbers, Normalize accents, and Minimum word length unchanged when comparing two drafts.
• Turn on Remove stop words for topic and keyword review, but leave it off for normal word totals and readability checks.
• Use N-gram size 2 or 3 when repeated phrase openings matter more than repeated single words.
• Turn off N-grams across sentences when repeated phrases should restart at each sentence boundary, such as checking repeated sentence openings.
• Set Word frequency rows and Repeated phrase rows high enough before exporting if the tail of the list matters.
• Inspect the chart tabs after changing advanced settings; the word frequency, word length, and sentence length charts follow the same processed tokens as the tables.

Privacy Notes:

Text measurement runs in the browser, and plain TXT files are read locally for the current session. If you paste sensitive material, avoid sharing a copied page address until you confirm it does not contain the pasted text, because browser history and shared links can preserve address contents.

Worked Examples:

FAQ:

Glossary:

Token

A word-like unit after case, accent, number, stop-word, and length rules are applied.

N-gram

A sequence of one, two, or three tokens counted for repetition.

Lexical density

The percentage of measured words that are unique.

Flesch Reading Ease

A readability score based on average sentence length and average syllables per word.

Flesch-Kincaid Grade Level

A readability estimate that maps the same sentence and syllable inputs to a grade-level style number.

References:

• Unicode Standard Annex #29: Unicode Text Segmentation, Unicode Consortium.
• Measuring Readability, Indian Health Service.
• Clear Communication Index User Guide, Centers for Disease Control and Prevention, last reviewed November 19, 2020.
• Plain Language Materials & Resources, Centers for Disease Control and Prevention, July 21, 2025.