Text Normalizer Free Online Tool 2026

Last updated March 22, 2026

Unicode Normalization Forms

// The letter "é" can be represented two ways in Unicode:
// Precomposed: U+00E9 (single character)
// Decomposed:  U+0065 + U+0301 (e + combining accent)

// Both look identical but are different byte sequences:
"\u00e9"        // NFC form — precomposed é
"e\u0301"       // NFD form — e + combining accent

// NFC normalization (most common for storage/exchange):
Input:  "café" (decomposed)
Output: "café" (precomposed, NFC)

// NFD normalization (for sorting/comparison):
Input:  "café" (precomposed)
Output: "cafe\u0301" (decomposed, NFD)

// NFKC normalization (compatibility + composition):
Input:  "file" (fi ligature U+FB01)
Output: "file" (decomposed to f + i)

Whitespace Normalization

// Input with various whitespace issues
"Hello   World"          // multiple spaces
"  leading spaces"       // leading whitespace
"trailing spaces   "     // trailing whitespace
"tab\there"              // tab character
"non\u00a0breaking"      // non-breaking space (U+00A0)
"thin\u2009space"        // thin space (U+2009)

// After whitespace normalization:
"Hello World"            // collapsed to single space
"leading spaces"         // leading whitespace trimmed
"trailing spaces"        // trailing whitespace trimmed
"tab here"               // tab → space
"non breaking"           // non-breaking space → regular space
"thin space"             // thin space → regular space

Case Normalization

// Lowercase (for search indexing)
Input:  "The Quick Brown Fox"
Output: "the quick brown fox"

// Uppercase
Input:  "hello world"
Output: "HELLO WORLD"

// Title Case
Input:  "the quick brown fox"
Output: "The Quick Brown Fox"

// Sentence case
Input:  "hello world. this is a test."
Output: "Hello world. This is a test."

// Unicode-aware lowercase (handles non-ASCII)
Input:  "ÜBER STRASSE"
Output: "über straße"

Punctuation Normalization

// Curly quotes → straight quotes (for code/data)
Input:  "Hello" and 'World'
Output: "Hello" and 'World'

// Straight quotes → curly quotes (for typography)
Input:  "Hello" and 'World'
Output: "Hello" and 'World'

// Em dash normalization
Input:  "word—word"   (em dash U+2014)
Output: "word - word" (spaced hyphen)

// Ellipsis normalization
Input:  "Wait…"       (ellipsis character U+2026)
Output: "Wait..."     (three periods)

// Apostrophe normalization
Input:  "it\u2019s"   (right single quotation mark)
Output: "it's"        (ASCII apostrophe)

Line Ending Normalization

// Windows CRLF → Unix LF
Input:  "line1\r\nline2\r\nline3\r\n"
Output: "line1\nline2\nline3\n"

// Old Mac CR → Unix LF
Input:  "line1\rline2\rline3\r"
Output: "line1\nline2\nline3\n"

// Mixed → Unix LF
Input:  "line1\r\nline2\nline3\r"
Output: "line1\nline2\nline3\n"

// Unix LF → Windows CRLF (for Windows compatibility)
Input:  "line1\nline2\nline3\n"
Output: "line1\r\nline2\r\nline3\r\n"

Diacritic Removal (ASCII Folding)

// Remove accent marks for URL slugs and search
Input:  "café résumé naïve"
Output: "cafe resume naive"

Input:  "Ångström über Straße"
Output: "Angstrom uber Strase"

Input:  "Ñoño señor"
Output: "Nono senor"

// Useful for:
// - Generating URL slugs from titles
// - Creating ASCII-safe identifiers
// - Search indexing for accent-insensitive search
// - Normalizing names for comparison

Search Index Normalization

// Normalize text before indexing for search
function normalizeForSearch(text) {
  return text
    .normalize('NFKD')                    // Unicode decomposition
    .replace(/[\u0300-\u036f]/g, '')      // Remove combining marks
    .toLowerCase()                         // Lowercase
    .replace(/[^\w\s]/g, ' ')             // Remove punctuation
    .replace(/\s+/g, ' ')                 // Collapse whitespace
    .trim();
}

normalizeForSearch("Café Résumé")   // → "cafe resume"
normalizeForSearch("Hello, World!") // → "hello world"
normalizeForSearch("über straße")   // → "uber strase"

Data Cleaning for Database Import

// Raw data from CSV export
"  Alice Smith  "    → "Alice Smith"      (trim)
"BOB JONES"          → "Bob Jones"        (title case)
"carol\u00a0white"   → "carol white"      (non-breaking space)
"dave\r\njohnson"    → "dave johnson"     (line ending in field)
"Eve\u2019s"         → "Eve's"            (curly apostrophe)

Normalization Options Reference

• Unicode form: NFC (default), NFD, NFKC, NFKD
• Whitespace: trim, collapse multiple spaces, normalize Unicode spaces
• Case: lowercase, uppercase, title case, sentence case
• Punctuation: normalize quotes, dashes, ellipsis, apostrophes
• Line endings: LF, CRLF, CR, or normalize to one format
• Diacritics: remove accent marks (ASCII folding)

Paste your text into the Text Normalizer, select the normalization operations you need, and get clean, consistent output ready for processing.

// Raw input from user form submission
"  Hello,   World!\u00a0 It\u2019s a \u201cgreat\u201d day\u2026  "

// Step 1: Unicode NFC normalization
"  Hello,   World!\u00a0 It\u2019s a \u201cgreat\u201d day\u2026  "

// Step 2: Normalize special Unicode characters
"  Hello,   World!  It's a \"great\" day...  "

// Step 3: Trim leading/trailing whitespace
"Hello,   World!  It's a \"great\" day..."

// Step 4: Collapse multiple spaces
"Hello, World! It's a \"great\" day..."

// Step 5: Lowercase
"hello, world! it's a \"great\" day..."

// Final normalized output:
"hello, world! it's a \"great\" day..."