Methodology & Accuracy

Every counter on WordCounterPro.ai runs on one small, tested engine (shared verbatim with our sister sites WordCntr.com and WrdCntr.com). This page states the counting rules exactly — including the edge cases where reasonable tools disagree.

The counting rules

• Words are Unicode-aware runs of letters and digits; internal hyphens and apostrophes keep a word whole ("state-of-the-art" and "it's" are one word each). Accented characters and non-Latin scripts count correctly; numbers count as words.
• Characters are Unicode code points — é is one character, and most emoji are one (some sequences like flags or family emoji combine several code points; platforms vary in how they count those).
• Sentences split on runs of ending punctuation (. ! ? …) followed by whitespace or the end of the text. Known limitation: abbreviations such as "Mr." or "e.g." register as sentence ends — a trade-off shared by most counters that we state rather than hide.
• Paragraphs are blocks separated by one or more blank lines; single line breaks inside a block do not split it.
• Reading time divides the word count by 238 words per minute — the adult silent-reading average from Brysbaert's 2019 meta-analysis of reading-rate studies. Speaking time uses 150 wpm, typical prepared-speech pacing. Both are presented as estimates, not stopwatches.

Readability and keyword analysis

• Flesch Reading Ease = 206.835 − 1.015 × (words ÷ sentences) − 84.6 × (syllables ÷ words); Flesch–Kincaid Grade = 0.39 × (words ÷ sentences) + 11.8 × (syllables ÷ words) − 15.59 — the standard published formulas.
• Syllables are counted heuristically (vowel groups with a silent-e adjustment, minimum one per word). English syllabification has real exceptions, so scores are strong estimates, typically within a few points of hand computation — the same trade-off every automated checker makes.
• Keyword density ranks non-stop-words by frequency; percentages divide by ALL words (stop words included in the base) so densities reflect the full text. About 80 common English function words are excluded from the ranking.

Why counts differ between tools

Word processors, browsers, and online counters disagree at the margins because the margins are genuinely ambiguous: does "co-op" count once or twice, is a heading a sentence, does a paragraph mark with nothing after it count? Differences of a few units on long texts are normal. Where an exact figure is contractual (a strict submission limit), the counter that matters is the one the recipient uses — ours tells you if you're close enough to care.

Privacy as a design constraint

Everything you type or paste is processed by JavaScript running locally in your browser. Nothing is transmitted, logged, or stored — there is no server that ever sees your text. This is verifiable in your browser's network tab: counting generates zero requests.

Tested against pinned cases

The engine's automated tests pin the classic pangram's counts, hyphen/apostrophe handling, Unicode words, emoji code points, sentence and paragraph edge cases, and the reading-time arithmetic. If you believe a count is wrong, see the contact page — confirmed issues are fixed in the engine (across all three sites at once) and locked in with a new test.