Word count, character count, and sentence count, all updating as you type or paste.
Text is trimmed and split on whitespace, so each run of characters between spaces counts as one word — the same basic method used by Word, Google Docs, and most online counters.
"With spaces" counts every character including spaces and line breaks — this is the number that matters for platforms with a hard character limit that includes whitespace, like SMS (160 characters per segment) or some meta description fields. "Without spaces" strips whitespace out, giving a count closer to actual letter/punctuation content — useful for typing-speed contexts or comparing density between texts of different formatting.
Reading time uses an average silent adult reading speed of 200–250 words per minute (this calculator uses 225 as a middle estimate); speaking time uses an average spoken pace of about 130–150 words per minute (this calculator uses 140), which is typical for presentations and conversational speech. Both are population averages — a technical document reads slower than a novel, and a rehearsed speech is often paced differently than casual conversation — so treat these as planning estimates, not guarantees. They're most useful for pacing a speech to a time limit, or gauging whether a blog post is a "3-minute read" or a "12-minute read" for a header estimate.
Checking essay or post length against a word limit, meeting a minimum or maximum character count for a bio, tweet, or meta description, estimating video script length from a speaking-time figure, or getting a rough sentence and paragraph count for readability review.
It should be very close for typical text, since both count space-separated words the same basic way — small differences can appear around hyphenated words, numbers with commas, or unusual punctuation, where different tools make slightly different judgment calls about what constitutes a single "word."
Sentence counting relies on detecting periods, question marks, and exclamation points followed by a space — abbreviations like "Dr." or "e.g.", decimal numbers like "3.14", or ellipses can occasionally be miscounted as sentence breaks. This is a known limitation of simple punctuation-based counting, shared by essentially every lightweight word-count tool, and generally only affects the count by a few sentences on longer text.
A paragraph is counted as a block of text separated by a blank line (a double line break) — this matches how most word processors and CMS platforms treat paragraph breaks when you paste formatted text. If your source text uses single line breaks without blank lines between paragraphs, the count may show fewer paragraphs than visually expected.
No — platform limits vary widely (X/Twitter's character limit, meta description guidelines around 150–160 characters for Google search snippets, academic abstract limits often 250–300 words) and none of them are universal. Character-based limits also behave differently across languages and scripts — a single Chinese or Japanese character often conveys what takes several Latin-script characters to express, so a "160-character" limit reads very differently in different languages, and this calculator counts Unicode characters as entered rather than adjusting for script.
Worked example: pasting a 250-word essay draft here instantly shows whether it clears a "200 word minimum" assignment requirement, roughly how long it takes to read (about 67 seconds at 225 wpm) or read aloud (about 107 seconds at 140 wpm) — without needing to open a separate word processor.
This uses the Flesch Reading Ease formula: 206.835 − 1.015 × (words ÷ sentences) − 84.6 × (syllables ÷ words) — shorter sentences and shorter words push the score higher (easier to read). Syllables are estimated by counting vowel groups per word, a common approximation rather than a dictionary lookup, so treat the exact number as directional rather than precise.
General audience writing (news, blogs, most web content) typically targets 60–70 ("Standard," roughly 8th–9th grade reading level). Technical or academic writing often scores lower (30–50) simply because of longer, more precise sentences and specialized vocabulary — a low score isn't necessarily "bad" if the audience expects that register.
Preparing text for the web rather than for reading? The URL Encoder escapes a string safely for a query parameter, and the Base64 Converter encodes it for a text-only channel. For numerals in formal copy, see the Roman Numeral Converter.