What is the Text Statistics Analyzer?

The Text Statistics Analyzer runs your text through a full diagnostic panel in one pass: word and character counts, sentence and paragraph totals, estimated reading and speaking time, average word and sentence length, longest words, and keyword density. Instead of opening five separate counters, you get the complete profile on a single screen.

That combined view is what makes it an analysis tool rather than a counting tool. A freelance writer can check a deliverable against a brief's every requirement at once; an SEO editor can spot keyword stuffing and thin sections in the same glance. The numbers cross-check each other in ways isolated counts never do.

How to use

1. Paste the complete draft — article, essay, product description — into the analyzer.
2. Scan the overview panel for the headline metrics: words, characters, sentences, paragraphs, reading time.
3. Drill into the deeper stats: check keyword density for stuffing, average sentence length for rhythm, longest words for jargon.
4. Revise the draft and re-run the analysis to confirm every metric moved toward your targets.

Common use cases

• SEO content audits — verifying article length, keyword density and readability before publishing.
• Freelance compliance — proving a delivered piece meets the brief's word count, reading level and keyword requirements.
• Academic review — checking essay length alongside structural stats like paragraphs per thousand words.
• Editorial QA — catching anomalies such as a 90-word sentence or a paragraph that swallowed a whole section.

Example

Input:
The quick brown fox jumps over the lazy dog. Pack my box with five dozen liquor jugs!

Output:
Words: 17 | Characters: 93 | Sentences: 2 | Paragraphs: 1
Reading time: ~5 sec | Avg. sentence: 8.5 words | Longest word: liquor (6)

FAQs

What metrics does the analyzer report?

The core set is words, characters with and without spaces, sentences, paragraphs, reading time, speaking time, average word length, average sentence length, longest words and keyword frequency. Together they describe both the size and the texture of your text.

What is keyword density and why does it matter?

Keyword density is how often a term appears relative to total words — 5 mentions in 500 words is 1%. Around 1–2% reads naturally; past 3% starts looking stuffed to both readers and search engines.

How is this different from a plain word counter?

A word counter answers one question: how long? The analyzer answers the editorial questions around it: is it readable, well-structured, on-brief and free of repetition? Length is just the first row of the report.

Can it estimate reading level?

Yes, through the inputs readability formulas need — average sentence length and average syllables per word feed directly into Flesch-Kincaid and Gunning Fog scores, which translate those averages into a school grade level.