0
Words
0
Visible characters
0
Characters with spaces
0
Sentences
0
Lines
0
Reading minutes
0
Words
0
Visible characters
0
Characters with spaces
0
Sentences
0
Lines
0
Reading minutes
Count words, visible characters, sentences, lines, and estimated reading time with locale-aware segmentation.
The counter handles writing systems without spaces, emoji, and combined Unicode characters.
The counter uses language-aware word segmentation when the environment provides it, so Chinese and Japanese text is not automatically treated as one long word. Word boundaries in these scripts can still differ by dictionary, compound interpretation, names, and specialized terminology. The selected locale influences segmentation. If a publisher, school, platform, or legal rule defines its own counting method, compare the result with that required system because two valid tools can disagree while following different boundary rules.
The visible-character count uses grapheme clusters when available. A family emoji, a letter plus combining accent, or a joined symbol can contain several Unicode code points while appearing as one character to a reader. Counting graphemes avoids treating those pieces as unrelated visible characters. Platform limits may instead count code points, UTF-16 units, bytes, or encoded message segments. When writing for a strict external limit, test the final text in that exact destination rather than assuming its definition of character matches this counter.
Sentence totals use language-aware boundaries when available and can be affected by abbreviations, initials, decimal numbers, quotations, and unusual punctuation. Line totals follow explicit line breaks, so visually wrapped text does not automatically create new source lines. Character metrics distinguish visible grapheme clusters from counts that include spaces where shown by the interface. Clean or normalize text only when that matches the assignment, because removing line breaks or unusual spacing changes the material being measured.
Reading time is an estimate based on text quantity and a typical pace, using words for spaced scripts and visible characters for CJK where appropriate. Actual time changes with language familiarity, technical difficulty, sentence structure, tables, code, citations, numbers, screen size, and the reader's purpose. Proofreading and study are slower than casual reading. Use the estimate for rough planning, then measure representative readers when timing affects narration, presentations, examinations, accessibility, or publication requirements.
Tools can define words, apostrophes, hyphens, emoji, combining marks, punctuation, hidden characters, line endings, and scripts without spaces differently. Some applications count footnotes, comments, headers, fields, or markup that is not present in plain pasted text. Compare the exact same source and identify which metric the requirement names. For a submission limit, the receiving editor or platform is authoritative. Use this counter to inspect and revise, then confirm the final value after pasting or uploading to the destination.