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Text Counting & Analysis Tools

Whitespace Counter

Measure whitespace locally and separate ordinary spaces, tabs, newlines, and all Unicode whitespace.

0All whitespace
0Spaces
0Tabs
0Line breaks
0.00%Whitespace share of grapheme characters

Counts run locally in your browser. When available, word, sentence, and grapheme segmentation uses the browser’s Unicode-aware Intl.Segmenter; fallback rules are used on older browsers.

Whitespace Counter: Unicode & Layout Audit

Count spaces, tabs, line breaks, non-breaking spaces and Unicode whitespace with run, edge and text-share diagnostics.

Core counting & writing metrics

Start with the broad counter that matches the question, then move to focused frequency, reading-time or syllable analysis. Specialist readability, repetition and writing-goal tools remain available from the full hub.

All 28 text analysis tools

Text analysis with explicit counting semantics

The result distinguishes Unicode graphemes, code points, word/sentence boundaries, line endings or normalization where those details change the meaning of the count. Browser-local analysis stays live without treating approximate language heuristics as exact facts.

Practical guide and verification

Use the tool first, then apply these checks to verify inputs, interpret the result, and hand it off without displacing the primary workflow.

Separate ordinary spaces from other whitespace characters

A visual blank can be an ASCII space, tab, line feed, carriage return, non-breaking space, thin space, ideographic space, or another Unicode separator. These characters can behave differently in browsers, spreadsheets, programming languages, and validation rules. Use category counts rather than assuming every blank-looking character is interchangeable, especially when pasted text came from PDFs, office applications, or websites.

Inspect runs and edge whitespace when formatting matters

Total whitespace alone does not reveal whether the text contains one large indentation block, repeated blank lines, or stray leading and trailing characters. Check the longest run and the amount at the edges before trimming or normalizing. In source code, tab width and indentation can be semantic; in fixed-width data, apparently redundant spaces can be field padding that should not be removed.

Choose a counting basis that matches the destination

Character counts can differ depending on whether a system counts Unicode code points, UTF-16 code units, grapheme clusters, or encoded bytes. Whitespace normalization can also alter line endings. If an API, database column, SMS gateway, or file format has a hard limit, verify the exact measurement used by that system rather than relying on a generic visible-character count.

Keep the original when cleanup could be destructive

Replacing all whitespace with single spaces can destroy paragraph boundaries, indentation, table alignment, and token separation. Before bulk cleanup, preserve the source and test a representative sample containing tabs, blank lines, non-breaking spaces, and non-Latin text. After transformation, compare line count and length metrics so unexpected structural loss is detected before the cleaned text is saved or published.

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