Skip to content
Trexmi
Text Ready

Text Statistics

Measure words, characters, sentences, paragraphs, lines, and estimated reading time in one document overview.

Live document metrics Unicode-aware characters Reading-time estimate No text rewriting
INPUT Text to analyze
0 chars0 words0 lines
Add the complete draft or sample whose structure should be measured. Example: Paste an article, essay, product description or any other text to analyze.
Complete text statistics Statistics update from the text without changing your source.
SMART ANALYSIS Live document overview
Live
Words 0 detected text words
Characters 0 including spaces
Sentences 0 estimated sentence units
Reading time 0 at about 200 WPM
Add text to see a tool-specific analysis before processing.
Practical examples

See how this tool works

Each example shows a realistic source value and the result produced by this specific tool.

Measure a short content sample

The source remains unchanged while the tool reports useful measurements.

Sample text
Paste an article, essay, product description or any other text to analyze.
Measurements
{
    "words": 12,
    "characters": 74,
    "charactersWithoutSpaces": 63,
    "lines": 1,
    "sentences": 1,
    "paragraphs": 1,
    "readingTimeMinutes": 1
}
Measure a second writing sample

The source remains unchanged while the tool reports useful measurements.

Sample text
Clear documentation helps users finish tasks faster and reduces support requests.
Measurements
{
    "words": 11,
    "characters": 81,
    "charactersWithoutSpaces": 71,
    "lines": 1,
    "sentences": 1,
    "paragraphs": 1,
    "readingTimeMinutes": 1
}
About the tool

What Text Statistics does

Text Statistics provides a single overview of document length and structure. It measures words, visible characters, characters without spaces, sentences, paragraphs, lines, and estimated reading time. The tool is useful for articles, product descriptions, essays, metadata, social posts, scripts, documentation, and editorial quality checks.

The measurements update without rewriting the source. Sentence and paragraph counts are practical estimates based on punctuation and line breaks, so unusual formatting, abbreviations, code, and fragments may require manual review. Character counting is Unicode-aware, which makes the result more useful for emoji and non-Latin writing.

Text statistics dashboard with word character sentence and paragraph measurements
Use one overview to compare document length, structure, and reading effort.

How to use

  1. Paste the complete text. Use the full draft whenever possible because short samples can distort reading-time and structure estimates.
  2. Review live metrics. Check words, characters, sentences, and estimated reading time while editing.
  3. Run Text Statistics. Generate the complete structured measurement panel.
  4. Compare with requirements. Check platform limits, assignment rules, editorial briefs, or publishing standards.
  5. Interpret the numbers. Use measurements to support editing decisions, not as a replacement for reading the text.
Built for the task

Why use Text Statistics?

Focused controls, predictable output, and a workflow designed around this exact transformation.

01

One complete document overview

Review words, characters, sentences, paragraphs, lines, and reading time without switching between separate counters.

02

Track exact length requirements

Check copy against metadata, advertising, social media, form, and assignment limits.

03

Estimate reading effort

Use word count and a practical reading speed to estimate how long a reader may need.

04

Measure without rewriting

The original source stays unchanged while the statistics update.

Useful answers

Questions about Text Statistics

Practical details about input, output, privacy, limits, and the best way to use this tool.

Answer 01

How are words counted in Text Statistics?

Words are detected from non-empty groups separated by whitespace. URLs, numbers, and hyphenated forms can affect the count depending on their formatting.

Answer 01

How are words counted in Text Statistics?

Words are detected from non-empty groups separated by whitespace. URLs, numbers, and hyphenated forms can affect the count depending on their formatting.

Understanding text length

Word and character limits appear throughout publishing workflows. Search snippets, ad platforms, forms, marketplaces, school assignments, and editorial briefs may each use different rules. Text Statistics keeps several measurements together so you can distinguish words from characters with spaces, characters without spaces, and encoded bytes.

For a focused limit check, open the Character Counter. The combined statistics view is better when length must be understood alongside sentences, paragraphs, and reading effort.

Sentence and paragraph structure

Sentence count can highlight long dense passages, while paragraph count shows how content is divided visually. Neither metric proves readability. A technical paragraph may need several precise sentences; a landing page may use short sections. Use the counts to locate areas worth reviewing, then read those areas in context.

Reading-time estimates

Reading time is based on average speed and should be presented as an estimate. Complex instructions, unfamiliar terminology, tables, links, and code slow readers down. Short promotional copy may be scanned faster. The estimate is most useful for comparing drafts of the same type.

Using statistics responsibly

Good writing cannot be reduced to numbers. Metrics do not measure accuracy, usefulness, tone, or logical flow. Combine them with proofreading, user testing, and subject knowledge. To investigate repetition inside the same document, continue with the Word Frequency Counter.

Text Statistics is most useful when several document measurements must be reviewed together. Run Text Statistics again after major edits to compare structure, length, and reading effort.

For accessibility-focused writing guidance, consult the W3C tips for writing accessible content.