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Word Counter

Words, characters, sentences and reading time — counted as you type

Your text

Words

Characters

Chars w/o Spaces

Sentences

Paragraphs

Reading Time

Speaking Time

Word Counter — Complete Guide

Virtually every piece of writing has a size budget: essays have minimums, ads have hard character limits, articles have target lengths, speeches have time slots. This counter measures all of them at once, live — words, characters with and without spaces, sentences, paragraphs, and how long the text takes to read or to speak.

What this counter does

Type or paste into the box and every metric updates as you type. Words are counted with word-boundary logic that handles apostrophes and hyphens ("don't" is one word, "state-of-the-art" is one word), characters are counted raw and without whitespace, and reading time uses the 238-words-per-minute average from Brysbaert's 2019 meta-analysis of silent reading.

The conventions behind the numbers

reading time ≈ words ÷ 238 per minute speaking time ≈ words ÷ 140 per minute one manuscript page ≈ 250–300 words double-spaced

Speaking is much slower than reading, which is why a 700-word article is a three-minute read but close to a five-minute talk. Presenters who read their script aloud should budget by the speaking number, not the reading one.

A worked example

A student essay of 1,200 words: 6,540 characters, 5,590 without spaces, 64 sentences, 7 paragraphs. Reading time is 1,200 ÷ 238 ≈ 5.0 minutes; reading it aloud takes 1,200 ÷ 140 ≈ 8.6 minutes. The average sentence runs 19 words — within the 15–20 word band most style guides recommend, so no splitting is needed.

Text	Words	Reading	Speaking
Tweet / title	~15	4 sec	6 sec
Blog intro	~150	38 sec	1.1 min
Essay page	~275	1.2 min	2.0 min
10-minute talk	~1,400	5.9 min	10 min

Platform limits worth knowing

X/Twitter: 280 characters — watch the character count, not words.
Meta ads: primary text about 125 characters before truncation.
SEO meta descriptions: aim for 140–160 characters; the count without spaces is irrelevant here, raw characters rule.
College application essays: usually 500–650 words, counted strictly.

Everything you paste stays in your browser — the counting is plain JavaScript in the page, with no server and no storage, so confidential drafts are safe here.

字数统计器完整使用指南

几乎所有写作都有「体量预算」：作文有下限、广告有硬性字符上限、文章有目标篇幅、演讲有时长档期。这个统计器把这些一次性测完，而且是实时的——字数、含空格与不含空格的字符数、句子数、段落数，以及阅读与朗读所需时间。

这个统计器能做什么

在文本框里输入或粘贴，所有指标随输入实时刷新。字数按词边界逻辑统计（正确处理撇号与连字符："don't" 算 1 词，"state-of-the-art" 算 1 词）；字符数分原始与去空白两种；阅读时长采用 Brysbaert 2019 年荟萃分析得出的默读均值——每分钟 238 词。

数字背后的惯例

阅读时长 ≈ 词数 ÷ 每分钟 238 词朗读时长 ≈ 词数 ÷ 每分钟 140 词一页稿纸 ≈ 双倍行距 250–300 词

说话比阅读慢得多：700 词的文章读下来约 3 分钟，念出来却接近 5 分钟。照稿朗读的演讲者应该按「朗读时长」而非「阅读时长」来排稿。

算例演示

一篇 1,200 词的学生作文：字符 6,540、去空格 5,590、句子 64 句、段落 7 段。阅读时长 = 1,200 ÷ 238 ≈ 5.0 分钟；朗读需要 1,200 ÷ 140 ≈ 8.6 分钟。平均每句 19 词——落在多数写作指南建议的 15–20 词区间内，不必拆句。

文本类型	词数	阅读	朗读
推文 / 标题	约 15	4 秒	6 秒
博客开头	约 150	38 秒	1.1 分钟
作文一页	约 275	1.2 分钟	2.0 分钟
10 分钟演讲	约 1,400	5.9 分钟	10 分钟

常见平台的字数红线

X / 推特：280 字符——盯字符数而不是词数。
Meta 广告：主文案约 125 字符后会被截断。
SEO 元描述：目标 140–160 字符；这里看原始字符数，与去空格无关。
大学申请文书：通常 500–650 词，严格按上限计。

你粘贴的一切都留在浏览器里——统计就是页面里的一段普通 JavaScript，没有服务器、也不做存储，机密草稿放在这里是安全的。

Frequently Asked Questions

How many words should a page or an essay have?

Common editorial conventions: a double-spaced page is about 250–300 words, a single-spaced page 500–600. School and exam answers are usually counted by minimum, so hitting the floor matters more than the ceiling.

How is reading time estimated?

Silent reading averages about 238 words per minute across large studies (Brysbaert, 2019), so this tool divides your word count by 238. Speaking is slower — about 140 words per minute — which is the basis of the speaking-time estimate used for presentations and voice-overs.

How are Chinese and other CJK texts counted?

CJK writing has no spaces between words, so the counter treats each Chinese character as one word while grouping space-delimited languages the usual way. Character counts are unaffected and always exact.

Last reviewed: October 5, 2026 · How we calculate · Sources: Brysbaert (2019) reading-speed meta-analysis