Fit UI copy
Measure labels, descriptions, empty states, and validation messages before they overflow a constrained interface.
Count words, characters, lines, sentences, and estimated reading time locally for documentation, articles, UI copy, and developer notes.
Count words, lines, characters, and reading time. Your result updates in the current tab as you work.
Count words, lines, characters, and reading time. Nothing you enter here is uploaded or stored.
Characters: 105 Characters without spaces: 88 Words: 18 Lines: 1 Sentences: 1 Average words per sentence: 18.0 Reading time: 1 min Speaking time (130 wpm): 1 min
Small copy decisions add up: a form field may have a hard character limit, a release note needs a scannable length, and an article benefits from an honest reading-time estimate. Text Analyzer counts common measures from your current text without sending it away from the browser.
Measure labels, descriptions, empty states, and validation messages before they overflow a constrained interface.
Use a transparent reading-time estimate while editing a long article or technical tutorial.
Compare paragraphs or sections when you want a concise, evenly paced explanation.
These examples are specific to Text analyzer. Replace their values with your own, then use the result as a clue—not as a substitute for application validation.
A product card description allows 120 characters.
Learn SQL through small, runnable examples and purposeful practice.
Characters: 65 Words: 10
The count leaves room for a meaningful qualifier instead of discovering the truncation after the content reaches the interface.
A draft contains 1,040 words of prose.
1,040-word article
Estimated reading time: 5 minutes at 220 words per minute
This is a reader-facing estimate, not a guarantee. Code listings and unfamiliar concepts often make a technical page take longer.
Use the result to make a decision in your code or content, not merely to produce another value to copy.
Keep line breaks when they matter; the analyzer reports them separately from words and characters.
Use characters for input limits, words for editorial scope, and lines for snippets or terminal-oriented content.
Technical code, diagrams, tables, and unfamiliar concepts can take longer than plain prose.
A shorter paragraph is not automatically easier to understand. Use counts to meet a real constraint, then edit for concrete language, logical order, and the reader’s next action.
Counts are most useful when they serve a known constraint: a UI limit, a release-note style, a target reading time, or a documentation section budget. They are not a quality score.
120 characters → input or card limit
300–500 words → focused explainer
1,000+ words → likely needs headings, examples, and a table of contentsEach tool is deliberately narrow. These are the mistakes most likely to appear when its output is copied into a real product without checking the surrounding constraint.
Why it matters: Emoji, line endings, and combined Unicode characters can be counted differently by a platform.
Better approach: Use this for planning, then validate with the exact platform or API that enforces the limit.
Why it matters: Omitted context can make an explanation harder, not easier.
Better approach: Pair concise wording with a clear audience, concrete example, and next action.
These tools help with bounded client-side work. Production decisions still need the validation, review, and authorization appropriate to your application.
The tool uses an approximate 220 words per minute and rounds up to at least one minute for non-empty text.
Different products count hyphenated words, emoji, whitespace, and punctuation differently. Use the target platform’s documented limit for enforcement.
No. It measures structure and length, not grammar, tone, factual accuracy, or accessibility.