Letter & Text Analyzer
Analyze text with detailed statistics. Letter frequency, word frequency, and reading time.
Get detailed analysis of your text including character count, word count, sentence count, letter frequency distribution, most common words, and estimated reading time.
Surface metrics like total word count only tell you so much. For writers tuning style, editors checking vocabulary variety, students analyzing texts, and SEO specialists looking at keyword density, you need per-letter and per-word frequency — which characters and words actually appear, and how often. Spotting that "really" shows up 30 times in a 1,500-word draft is the kind of insight a simple counter can't give you.
This analyzer breaks text down into a detailed statistical profile. Character and word counts come standard. On top of that, you get a letter-frequency distribution (useful for cryptography exercises, Scrabble-style puzzles, and linguistic analysis), a sorted list of most common words with occurrence counts and percentages (filtering out articles and prepositions if you want content words only), average word and sentence length, unique-word count and lexical diversity, and an estimated reading time.
Common workflows include self-editing a manuscript to find overused words, comparing two writing samples for stylistic differences, analyzing competitor blog posts for keyword patterns, preparing data for word-cloud visualization, and academic stylometry tasks. Everything runs client-side, so sensitive or unpublished material stays on your machine.
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Paste your text
Drop any text into the input — an essay, an article, or an entire book chapter. The analyzer handles documents of any length.
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Review the breakdown
See totals for characters, words, sentences, and paragraphs, plus a letter-frequency chart and a ranked list of most common words with counts.
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Act on the patterns
Use the frequency data to cut overused words, check keyword density, or compare against a second text. Regenerate after edits to see the shift.
Self-editing drafts
Find words you lean on too heavily — "really," "just," "very" — and trim them from a manuscript before sending it to an editor.
SEO keyword density
Check that your target keyword appears at a reasonable rate in a blog post, without over-optimizing to the point of keyword stuffing.
Stylometric comparison
Compare two writing samples' vocabulary richness and average sentence length to see how an author's voice differs across pieces.
Word cloud preparation
Export the frequency list as raw data for a word-cloud tool or a presentation chart that illustrates the dominant themes in a text.
Is my text sent to a server?
No. Analysis runs entirely in your browser. Unpublished drafts and sensitive material never leave your device.
Does it ignore common words like 'the' and 'and'?
By default, stop words are included in the count. Most analyzers offer an option to exclude a standard English stop-word list so you focus on content words only.
How is lexical diversity calculated?
It's the ratio of unique words to total words (type-token ratio). A value of 0.5 means half of your words are unique; higher values indicate a richer vocabulary, though very short texts always score high so the metric is most useful on passages of 500+ words.
Is the letter frequency case-sensitive?
No. A and a are counted together so the distribution reflects the actual letter usage in the language rather than capitalization choices.
Can it handle non-English text?
Yes. Unicode-aware word splitting means it works on French, Spanish, German, Russian, and most alphabetic scripts. Chinese and Japanese need character-level rather than word-level analysis, which the tool reports as character counts.