Whitespace Visualizer

Make invisible whitespace characters visible — spaces, tabs, newlines, and NBSP rendered as color-coded symbols.

· Space (U+0020) → Tab (U+0009) ↵ Newline (U+000A) ⍽ NBSP (U+00A0) · Thin/Other (U+2009+)
Input
Output
Paste text above to visualize whitespace characters.

How to Use the Whitespace Visualizer

  1. Paste your text into the input area on the left.
  2. Choose a mode — Visualize shows symbols for each whitespace type, Clean normalizes whitespace, Stats counts each type.
  3. Read the legend — each whitespace type is rendered in a distinct color with a Unicode symbol.
  4. Copy or download the cleaned text using the buttons above the output.

Why Whitespace Matters in Code and Data

Invisible whitespace characters are one of the most common causes of bugs that are hard to debug because you cannot see what you are looking at. A non-breaking space where a regular space is expected can break a JSON key lookup, cause a CSS class not to match, or make a database query return no results. Tabs mixed with spaces can cause Python indentation errors. Trailing spaces on lines can cause git diffs to show phantom changes. This tool makes all of these characters visible so you can debug them instantly.

Visualize Mode

In Visualize mode, every whitespace character is replaced with a distinctive Unicode symbol rendered in a unique color. Regular spaces become middle dots (·), tabs become right arrows (→), newlines become return symbols (↵), and non-breaking spaces become the NBSP symbol (⍽). Non-printable text characters remain visible against the colored whitespace, making it easy to spot problematic characters at a glance. This mode is read-only — it does not modify your original text.

Clean Mode

Clean mode normalizes all whitespace in your text by applying a series of transformations: it trims leading and trailing spaces from every line, converts all tab characters to single spaces, replaces non-breaking spaces and other exotic Unicode whitespace (thin space, hair space, en space, em space, figure space) with regular spaces, and collapses runs of multiple spaces into a single space. The result is text with consistent, predictable whitespace. This is particularly useful when preparing user-submitted content for storage in a database, normalizing log file entries for parsing, or cleaning up copy-pasted content from word processors or PDF readers before pasting it into code.

Stats Mode

Stats mode counts every whitespace character in your text and displays the results as a grid of cards. You see the exact count of regular spaces, tabs, newlines (LF), carriage returns (CR), non-breaking spaces, and other Unicode whitespace. This is useful when auditing content for encoding consistency — for example, checking whether a file uses Unix (LF-only) or Windows (CR+LF) line endings, or whether a database field contains NBSP characters from a rich text editor that could break downstream processing.

Common Sources of Invisible Whitespace Problems

  • Copy from Word/Google Docs — inserts non-breaking spaces and thin spaces around punctuation
  • PDF copy-paste — common source of non-standard spaces and hidden characters
  • HTML   entities — rendered as U+00A0 when pasted from a browser
  • Windows line endings — CR+LF (U+000D U+000A) vs. Unix LF-only
  • Spreadsheet exports — may add tab characters between fields when copied
  • Internationalized content — languages like French use non-breaking spaces before ! ? ; :

Unicode Whitespace Reference

Unicode defines over a dozen distinct whitespace characters beyond the common space, tab, and newline. The most frequently encountered are: U+00A0 (Non-Breaking Space), U+2009 (Thin Space, used in SI unit formatting like "100 km"), U+200A (Hair Space, used in typography), U+2002 (En Space), U+2003 (Em Space), and U+2007 (Figure Space, as wide as a digit). Most programming languages and databases treat only ASCII whitespace as word separators, so these Unicode spaces can cause subtle matching failures in regex patterns, SQL LIKE queries, and string comparisons.

Whitespace in JSON, CSV, and YAML

In JSON, keys and string values are compared exactly, so a key with a trailing NBSP is a different key from one without it. In CSV files, unquoted fields with leading or trailing spaces may be parsed differently across tools — some strip whitespace, others preserve it. In YAML, indentation must use spaces (not tabs, which are illegal in YAML), and mixed indentation depths cause parse errors. The Visualize mode makes it easy to check all of these cases before committing data to a format that is strict about whitespace.

Frequently Asked Questions

A non-breaking space (U+00A0) looks identical to a regular space but prevents line breaks between the words it separates. It is common in copy-pasted text from word processors, HTML entities ( ), and PDF exports. This tool highlights NBSP characters with the ⍽ symbol so you can spot them instantly.
Unexpected whitespace often comes from copy-pasting from websites, PDFs, or word processors, which may insert non-breaking spaces, thin spaces, or other Unicode whitespace characters. Tab characters are also common in code copied from IDEs. The Visualize mode makes all of these visible so you can find the source of the problem.
Clean mode normalizes all whitespace in your text: trims leading and trailing whitespace from each line, converts tabs to single spaces, replaces non-breaking spaces with regular spaces, and collapses multiple consecutive spaces into one. This is useful for cleaning up copy-pasted content before using it in code or a database.
This tool detects regular spaces (U+0020), tabs (U+0009), newlines (U+000A), carriage returns (U+000D), non-breaking spaces (U+00A0), thin spaces (U+2009), hair spaces (U+200A), en spaces (U+2002), em spaces (U+2003), and figure spaces (U+2007).
No. This whitespace visualizer runs entirely in your browser using JavaScript. Your text never leaves your machine. There is no server-side processing, no logging, and no data collection of any kind.