Text statistics

This text analysis tool provides a breakdown of any block of text. Whether you're a writer reviewing your work or a developer processing input this tool offers clear and immediate feedback about the structure and composition of your text. It runs entirely in the browser, so there's no need to upload files. Just paste your text, and the results appear instantly.

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What is analysis

The tool calculates a wide range of text statistics. At the most basic level, it counts the total number of characters, both with and without spaces. This is helpful for fitting text within strict character limits, like for social media and meta descriptions. It also counts only letters (A–Z and accented characters), which can be useful in typography or language processing tasks.

The word count gives you the total number of individual words in your text, based on sequences of alphanumeric characters. Alongside this, it shows the number of unique words, giving you a sense of your vocabulary range or repetition level. This can be useful when optimizing content for clarity, variation, or keyword density. The tool also identifies the longest word in the text, this can be a fun curiosity, but it also helps spot compound words or terms that might be difficult to read.

In terms of sentence structure, the tool estimates the total number of sentences based on punctuation like periods, exclamation marks, and question marks followed by whitespace. From this, it calculates the average sentence length, measured in words. Shorter sentences are generally easier to read, so this statistic is useful when aiming for accessible content. Similarly, it calculates the average word length, a figure that can help assess the text's complexity. Both averages are rounded to two decimal places for precision.

The tool also counts paragraphs, defined as blocks of text separated by one or more blank lines. This is especially helpful for writers working with long-form content, as well-structured paragraphs improve readability. In addition, it reports the total number of lines. Useful when analysing poetry, code, or formatted input.

One practical feature is the estimated reading time, calculated by default based on an average reading speed of 200 words per minute. This helps you set expectations for readers or compare content lengths when writing articles, documentation, or instructions.

Beyond raw counts, the tool performs frequency analysis. The character frequency section shows how often each individual character appears, including letters, punctuation, spaces, and line breaks. This can be useful in fields like cryptography and text compression. There's also a word frequency breakdown, sorted by the most common words in the text. This highlights repetition and can help you detect filler, emphasize keywords, or better understand the tone and focus of your writing.

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Where text analysis is useful

This tool is useful in a wide range of scenarios. For writers and editors, it provides an easy way to evaluate sentence length, word repetition, and vocabulary diversity. All of which contribute to the clarity and readability of your text. By showing metrics like average sentence length and read time, it helps ensure your writing remains accessible and engaging, especially for web and mobile audiences.

In educational settings, the tool is ideal for both students and teachers. Language learners can use it to measure vocabulary growth, understand sentence structure, and compare writing over time. Teachers and tutors can quickly assess student assignments for variety, complexity, and fluency without manual counting.

For developers, content strategists, and data analysts, the tool offers a quick way to inspect raw text from logs, API input, speech transcripts, or user feedback. Seeing frequency patterns and structural breakdowns can help with everything from linguistic research to natural language processing.

When it comes to SEO and user experience, the tool is especially helpful. It allows you to fine-tune content so it's concise, scan-able, and well-balanced in terms of keyword density and sentence structure. Knowing the estimated read time can also improve your UX by setting expectations or matching content length to user attention spans.

Finally, accessibility professionals can start to estimate the cognitive load of a text, a true reading estimator will need to be used for a better analysis. But know that shorter words and sentences, lower reading times, and consistent structure make written content more accessible for people with cognitive disabilities, language difficulties, or limited reading time. By combining multiple metrics in one place, this tool makes it easier to write with clarity and inclusion in mind.

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Further reading

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