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Paste your text and click Analyze// analyze text — chars, words, sentences, readability
Analyze any text instantly — word count, character count, sentence count, readability score, keyword density, and more. Free, browser-based.
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Paste your text and click AnalyzeEnter any text — an article, essay, email, or document — into the input area on the left.
Hit the button and all statistics are calculated instantly in your browser. No upload needed.
View word count, readability score, keyword density, reading time, and more. Copy the full report with one click.
Text Statistics is a free, browser-based tool that provides a comprehensive analysis of any text you paste in. It goes beyond a simple word counter — you get sentence-level stats, a Flesch readability score, keyword frequency, estimated reading and speaking time, and more. Everything runs locally in your browser, so no text is ever sent to a server.
No. All analysis is performed entirely in your browser using JavaScript. Your text never leaves your device and is never stored or transmitted anywhere.
We use the Flesch Reading Ease formula: 206.835 − (1.015 × avg. words per sentence) − (84.6 × avg. syllables per word). Scores range from 0 (very difficult) to 100 (very easy). Most web content targets a score of 60–70.
Reading time is based on an average adult reading speed of 238 words per minute (wpm), which is a widely accepted benchmark. Speaking time uses 130 wpm, a typical pace for clear speech or presentations.
Sentences are detected by splitting on period, exclamation mark, and question mark characters followed by whitespace or the end of the text. This handles most common punctuation patterns accurately.
Keywords are ranked by frequency — the number of times each word appears. Common stop words (like "the", "and", "is") are excluded from the keyword list so you see only meaningful terms.
"Characters" counts every character in the text including spaces and punctuation. "Characters (no spaces)" counts only non-whitespace characters. The latter is useful for platforms with character limits that exclude spaces.
Basic stats like character count, word count, and paragraph count work for any language. The Flesch readability score and syllable estimation are optimized for English text and may not be accurate for other languages.
There is no hard limit — this tool processes text entirely in your browser. Very long texts (100,000+ words) may take a moment to compute, but there is no imposed maximum length.
A text statistics analyzer is a tool that examines a piece of writing and returns a range of quantitative metrics about it. Rather than reading a document manually and guessing at its complexity or length, you get precise, objective numbers instantly. These metrics can tell you how long your text is, how readable it is, what your most-used words are, and how long it would take someone to read or listen to it spoken aloud.
Our Text Statistics tool does all of this in your browser — paste your text, click Analyze, and see the full breakdown in seconds. It's built for writers, editors, students, SEO professionals, and anyone who cares about the quality and clarity of their writing.
Understanding what each metric means helps you get the most out of any text analysis tool. Here is a breakdown of every statistic this tool reports:
Two of the most practically useful metrics for content creators are reading time and speaking time estimates. These give you a real-world sense of how long your content will actually take to consume.
Reading time is calculated at 238 words per minute, which is the median adult silent reading speed for comprehension (not skimming). This figure is drawn from published research on reading speed across age groups. Blog posts, landing pages, and emails commonly display estimated reading time alongside the title — it sets expectations and reduces bounce rate.
Speaking time is calculated at 130 words per minute, a comfortable, clear speaking pace appropriate for presentations, podcasts, and audiobooks. If you are preparing a speech, a 500-word script will take roughly 3 minutes and 50 seconds to deliver at a measured pace. TED Talks typically aim for 130–150 wpm, which balances clarity with enough density to feel substantive.
The Flesch Reading Ease score is the most widely used readability formula in the English language. It was developed by Rudolf Flesch in 1948 and published in his book "The Art of Plain Talk." The formula produces a score from 0 to 100:
The formula itself is: 206.835 − (1.015 × average words per sentence) − (84.6 × average syllables per word). Notice that both sentence length and syllable complexity contribute to the score. Shorter sentences and simpler words push the score up; longer sentences and polysyllabic words push it down. If your score is lower than you'd like, try breaking up long sentences and replacing jargon with plain equivalents.
The keyword section shows you which words appear most often in your text, after filtering out common stop words ("the", "a", "is", "in", etc.). This is valuable for several reasons:
From an SEO perspective, keyword frequency tells you whether your focus keyword appears enough times to establish topical relevance, and whether you are accidentally overusing a word to the point of keyword stuffing. A healthy keyword density for a primary term is typically 1–3% of total word count.
From a writing quality perspective, seeing your top keywords can reveal unintended repetition. If the same word appears disproportionately often and it isn't an intentional focus term, that's a signal to vary your vocabulary.
For academic writing, keyword analysis helps you confirm your argument's central concepts appear consistently throughout the paper, reinforcing coherence and thematic unity.
Readability is not about dumbing content down — it's about respecting your reader's time and cognitive effort. Research consistently shows that even highly educated readers prefer clear, concise writing over dense, complex prose. The Nielsen Norman Group's web usability research has repeatedly found that users scan rather than read online, making readability even more critical in digital contexts.
For marketing copy and landing pages, higher readability scores correlate with better conversion rates. For educational content, appropriate readability for your target audience improves comprehension and retention. For news and journalism, the inverted pyramid structure combined with short, direct sentences maximizes information delivery per minute of reading time.
If your analysis reveals areas for improvement, here are practical techniques to address them:
Content writers and bloggers use word count targets from their editors and readability guidelines from their SEO strategists. A text statistics tool validates both in one place before publishing.
Students and academics must meet strict word count requirements for essays, theses, and assignments. They also benefit from readability feedback as they develop their writing style.
SEO professionals track keyword density, title length, and meta description length (character count) as part of on-page optimization workflows.
Technical writers need to calibrate documentation complexity to their audience's expertise level — a Flesch score helps them verify their target reading level is achieved.
Speechwriters and presenters use speaking time estimates to ensure their content fits a given time slot — a 20-minute keynote slot requires roughly 2,600 words at a standard speaking pace.
UX writers measure interface copy length and readability to ensure microcopy is concise and accessible to all users.
Whether you're writing your first blog post or refining a professional document, Text Statistics gives you the objective data you need to make informed editing decisions. Try it free — no account, no upload, no limits.