🎯 Exemples recommandés
Balanced sample collections from various categories for you to explore
Exemples de Remplacement Regex
Collection de modèles de remplacement regex courants et utiles pour la transformation de texte et le nettoyage de données
📝 Formatage de Numéro de Téléphone regex
Ajouter ou supprimer le formatage des numéros de téléphone (tirets, parenthèses, espaces)
# Phone Number Formatting Examples
# Patterns for standardizing phone number formats
# --- Add Dashes (1234567890 → 123-456-7890) ---
# Pattern: (\d{3})(\d{3})(\d{4})
# Replacement: $1-$2-$3
# Input: 1234567890
# Output: 123-456-7890
# --- Add Parentheses and Dash (1234567890 → (123) 456-7890) ---
# Pattern: (\d{3})(\d{3})(\d{4})
# Replacement: ($1) $2-$3
# Input: 1234567890
# Output: (123) 456-7890
# --- Remove All Formatting (123-456-7890 → 1234567890) ---
# Pattern: \D
# Replacement: (empty)
# Input: (123) 456-7890
# Output: 1234567890
# --- Add Spaces (1234567890 → 123 456 7890) ---
# Pattern: (\d{3})(\d{3})(\d{4})
# Replacement: $1 $2 $3
# Input: 1234567890
# Output: 123 456 7890
# --- International Format (+11234567890 → +1 123-456-7890) ---
# Pattern: (\+\d{1})(\d{3})(\d{3})(\d{4})
# Replacement: $1 $2-$3-$4
# Input: +11234567890
# Output: +1 123-456-7890
# --- Convert to International (1234567890 → +1-123-456-7890) ---
# Pattern: ^(\d{3})(\d{3})(\d{4})$
# Replacement: +1-$1-$2-$3
# Input: 1234567890
# Output: +1-123-456-7890
# --- Add Extension Support (1234567890 ext 123 → 123-456-7890 x123) ---
# Pattern: (\d{3})(\d{3})(\d{4})(?: ext\.? (\d+))?
# Replacement: $1-$2-$3 x$4
# Input: 1234567890 ext 123
# Output: 123-456-7890 x123
# --- Normalize Separator (123.456.7890 → 123-456-7890) ---
# Pattern: (\d{3})[.\s](\d{3})[.\s](\d{4})
# Replacement: $1-$2-$3
# Input: 123.456.7890
# Output: 123-456-7890
# --- Format with Country Code (11234567890 → +1 (123) 456-7890) ---
# Pattern: (\d{1})(\d{3})(\d{3})(\d{4})
# Replacement: +$1 ($2) $3-$4
# Input: 11234567890
# Output: +1 (123) 456-7890
📝 Obscuration d'Email regex
Masquer ou dissimuler les adresses email avec des astérisques ou des espaces réservés
# Email Obfuscation Examples
# Patterns for hiding or masking email addresses
# --- Mask All But First Letter ([email protected] → j***@example.com) ---
# Pattern: (\w)(\w+@(\w+\.)*\w+)
# Notes: Use callback to replace group 2 with asterisks
# Input: [email protected]
# Output: j***@example.com
# --- Mask Domain ([email protected] → john@******.com) ---
# Pattern: @(\w+\.)(\w+)
# Notes: Use callback to mask domain name
# Input: [email protected]
# Output: john@******.com
# --- Show First and Last ([email protected] → j***[email protected]) ---
# Pattern: (\w)(\w+)(\w)@
# Notes: Use callback to replace middle with asterisks
# Input: [email protected]
# Output: j***[email protected]
# --- Full Mask ([email protected] → ****@*****.com) ---
# Pattern: (\w+)@(\w+\.?)+\w+
# Notes: Replace each group with asterisks of same length
# Input: [email protected]
# Output: ****@*****.com
# --- Replace with Placeholder ([email protected] → [email hidden]) ---
# Pattern: \b[\w.%+-]+@[\w.-]+\.[A-Z]{2,}\b
# Replacement: [email hidden]
# Input: Contact [email protected]
# Output: Contact [email hidden]
# --- Show Domain Only ([email protected] → ***@example.com) ---
# Pattern: \w+(@[\w.-]+\.[A-Z]{2,})
# Replacement: *$1
# Input: [email protected]
# Output: *@example.com
# --- Mask TLD ([email protected] → john@example.***) ---
# Pattern: @(\w+\.)(\w+)
# Replacement: @$1***
# Input: [email protected]
# Output: john@example.***
# --- Partial Username ([email protected] → jo***@example.com) ---
# Pattern: (\w{2})(\w+)@
# Notes: Use callback to replace rest with asterisks
# Input: [email protected]
# Output: jo***@example.com
# --- Format for Display ([email protected] → john [at] example [dot] com) ---
# Pattern: ([\w.%+-]+)@([\w.-]+)\.([A-Z]{2,})
# Replacement: $1 [at] $2 [dot] $3
# Input: [email protected]
# Output: john [at] example [dot] com
# --- Add Prefix ([email protected] → Email: [email protected]) ---
# Pattern: ([\w.%+-]+@[\w.-]+\.[A-Z]{2,})
# Replacement: Email: $1
# Input: [email protected]
# Output: Email: [email protected]
📝 Masquage de Cartes de Crédit regex
Masquer les numéros de carte de crédit sensibles, afficher uniquement les 4 derniers chiffres
# Credit Card Masking Examples
# Patterns for hiding sensitive credit card numbers
# --- Show Last 4 Digits (1234567890123456 → ****-****-****-3456) ---
# Pattern: \d{12}(\d{4})
# Replacement: ****-****-****-$1
# Input: 1234567890123456
# Output: ****-****-****-3456
# --- Mask All But Last 4 (1234567890123456 • ************3456) ---
# Pattern: \d{12}(\d{4})
# Replacement: ************$1
# Input: 1234567890123456
# Output: ************3456
# --- Mask First 12 with Spaces (1234-5678-9012-3456 • •••• •••• •••• 3456) ---
# Pattern: \d{4}(\d{4})(\d{4})(\d{4})
# Replacement: •••• $1 $2 $3
# Input: 1234567890123456
# Output: •••• 5678 9012 3456
# --- Remove All Digits (1234567890123456 • ••••••••••••••) ---
# Pattern: \d
# Replacement: •
# Input: 1234567890123456
# Output: ••••••••••••••••
# --- Format and Mask (1234567890123456 • **** **** **** 3456) ---
# Pattern: (\d{4})(\d{4})(\d{4})(\d{4})
# Replacement: **** **** **** $4
# Input: 1234567890123456
# Output: **** **** **** 3456
# --- Show Bin and Last 4 (1234567890123456 → 1234******3456) ---
# Pattern: (\d{4})(\d{8})(\d{4})
# Replacement: $1********$3
# Input: 1234567890123456
# Output: 1234********3456
# --- Mask in Sentence (Card: 1234567890123456 • Card: ****3456) ---
# Pattern: \d{12}(\d{4})
# Replacement: ****$1
# Input: Card: 1234567890123456
# Output: Card: ****3456
# --- Add Spaces and Mask (1234567890123456 • •• •• •• 3456) ---
# Pattern: (\d{4})(\d{4})(\d{4})(\d{4})
# Replacement: •• •• •• $4
# Input: 1234567890123456
# Output: •• •• •• 3456
# --- Replace with Placeholder (1234567890123456 • [CARD HIDDEN]) ---
# Pattern: \d{16}
# Replacement: [CARD HIDDEN]
# Input: 1234567890123456
# Output: [CARD HIDDEN]
# --- Mask Groups (1234-5678-9012-3456 • ****-****-****-3456) ---
# Pattern: (\d{4})-(\d{4})-(\d{4})-(\d{4})
# Replacement: ****-****-****-$4
# Input: 1234-5678-9012-3456
# Output: ****-****-****-3456
# --- Partial Mask (1234567890123456 → 1**2**3**4**56) ---
# Pattern: (\d{4})(\d{4})(\d{4})(\d{4})
# Notes: Use callback for custom masking pattern
# Input: 1234567890123456
# Output: 1**2**3**4**56
📝 Nettoyage de Chaînes regex
Supprimer les espaces supplémentaires, les sauts de ligne et les caractères spéciaux
# String Cleanup Examples
# Patterns for removing extra spaces, line breaks, and special characters
# --- Remove Extra Spaces (hello world → hello world) ---
# Pattern: \s{2,}
# Replacement: ' '
# Input: hello world
# Output: hello world
# --- Trim Leading Spaces ( hello → hello) ---
# Pattern: ^\s+
# Replacement: (empty)
# Input: hello
# Output: hello
# --- Trim Trailing Spaces (hello → hello) ---
# Pattern: \s+$
# Replacement: (empty)
# Input: hello
# Output: hello
# --- Remove All Spaces (hello world → helloworld) ---
# Pattern: \s
# Replacement: (empty)
# Input: hello world
# Output: helloworld
# --- Remove Line Breaks (line1\nline2 → line1line2) ---
# Pattern: [\r\n]+
# Replacement: (empty)
# Input: line1\nline2
# Output: line1line2
# --- Normalize Line Breaks (\r\n → \n) ---
# Pattern: \r\n
# Replacement: \n
# Input: line1\r\nline2
# Output: line1\nline2
# --- Remove Tab Characters ---
# Pattern: \t
# Replacement: ' '
# Input: hello\tworld
# Output: hello world
# --- Remove Non-ASCII Characters ---
# Pattern: [^\x00-\x7F]
# Replacement: (empty)
# Input: café
# Output: caf
# --- Remove Special Characters (hello@world! → helloworld) ---
# Pattern: [^a-zA-Z0-9\s]
# Replacement: (empty)
# Input: hello@world!
# Output: helloworld
# --- Remove Numbers (abc123 → abc) ---
# Pattern: \d
# Replacement: (empty)
# Input: abc123
# Output: abc
# --- Remove Letters (abc123 → 123) ---
# Pattern: [a-zA-Z]
# Replacement: (empty)
# Input: abc123
# Output: 123
# --- Remove Punctuation (Hello, world! → Hello world) ---
# Pattern: [^a-zA-Z0-9\s]
# Replacement: (empty)
# Input: Hello, world!
# Output: Hello world
# --- Remove Duplicate Lines ---
# Pattern: ^(.*?)$\n?\1$
# Replacement: $1
# Input: line1\nline1\nline2
# Output: line1\nline2
# --- Remove Empty Lines ---
# Pattern: ^\s*$
# Replacement: (empty)
# Input: line1\n\nline2
# Output: line1\nline2
# --- Collapse Multiple Lines to One (line1\nline2 → line1 line2) ---
# Pattern: \n
# Replacement: ' '
# Input: line1\nline2
# Output: line1 line2
📝 Conversion de Format de Date regex
Convertir entre différents formats de date (ISO en local, US en européen, etc.)
# Date Format Conversion Examples
# Common regex patterns for converting between date formats
# --- ISO to US Format (YYYY-MM-DD → MM/DD/YYYY) ---
# Pattern: (\d{4})-(\d{2})-(\d{2})
# Replacement: $2/$3/$1
# Input: 2024-12-25
# Output: 12/25/2024
# --- ISO to European Format (YYYY-MM-DD → DD.MM.YYYY) ---
# Pattern: (\d{4})-(\d{2})-(\d{2})
# Replacement: $3.$2.$1
# Input: 2024-12-25
# Output: 25.12.2024
# --- US to ISO Format (MM/DD/YYYY → YYYY-MM-DD) ---
# Pattern: (\d{2})/(\d{2})/(\d{4})
# Replacement: $3-$1-$2
# Input: 12/25/2024
# Output: 2024-12-25
# --- European to ISO Format (DD.MM.YYYY → YYYY-MM-DD) ---
# Pattern: (\d{2})\.(\d{2})\.(\d{4})
# Replacement: $3-$2-$1
# Input: 25.12.2024
# Output: 2024-12-25
# --- Text Month to Number (December 25, 2024 → 12/25/2024) ---
# Pattern: (Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec) (\d{1,2}), (\d{4})
# Replacement (needs mapping): Use with callback function for month mapping
# --- Add Time to Date (2024-12-25 → 2024-12-25 00:00:00) ---
# Pattern: ^(\d{4}-\d{2}-\d{2})$
# Replacement: $1 00:00:00
# Input: 2024-12-25
# Output: 2024-12-25 00:00:00
# --- Remove Time from Date (2024-12-25 14:30:00 → 2024-12-25) ---
# Pattern: ^(\d{4}-\d{2}-\d{2}).*$
# Replacement: $1
# Input: 2024-12-25 14:30:00
# Output: 2024-12-25
# --- Convert Month Name to Abbreviation (December → Dec) ---
# Pattern: \b(January|February|March|April|May|June|July|August|September|October|November|December)\b
# Replacement (varies by month): Use with lookup table
# --- Ordinal Dates (December 25th → December 25) ---
# Pattern: (\d{1,2})(st|nd|rd|th)
# Replacement: $1
# Input: December 25th, 2024
# Output: December 25, 2024
📝 Transformation de Casses regex
Changer la casse du texte correspondant en utilisant des modèles de remplacement
# Text Casing Examples
# Note: JavaScript regex replace() doesn\'t support case changes in replacement string
# These patterns show what needs to be matched, with notes on implementation
# --- Uppercase First Letter of Each Word ---
# Pattern: \b\w
# Notes: Use callback function: match => match.toUpperCase()
# Input: hello world
# Output: Hello World
# --- Lowercase All Letters ---
# Pattern: .*
# Notes: Better to use .toLowerCase() directly on the string
# Input: HELLO WORLD
# Output: hello world
# --- Uppercase All Letters ---
# Pattern: .*
# Notes: Better to use .toUpperCase() directly on the string
# Input: hello world
# Output: HELLO WORLD
# --- Title Case After Special Characters ---
# Pattern: (?:^|\s|-|\.)\w
# Notes: Use callback function for each match
# Input: hello-world test.example
# Output: Hello-World Test.Example
# --- Lowercase After Period ---
# Pattern: \.\s*(\w)
# Notes: Use callback to lowercase the letter
# Input: Hello. WORLD.
# Output: Hello. World.
# --- Capitalize Sentences ---
# Pattern: (?:^|[.!?]\s+)([a-z])
# Notes: Use callback to capitalize first letter after sentence endings
# Input: hello. world. test.
# Output: Hello. World. Test.
# --- SCREAMING_SNAKE_CASE to camelCase ---
# Pattern: (_)([a-z])
# Notes: Use callback: match => match[1].toUpperCase()
# Input: SCREAMING_SNAKE_CASE
# Output: screamingSnakeCase
# --- kebab-case to camelCase ---
# Pattern: (-)([a-z])
# Notes: Use callback: match => match.toUpperCase()
# Input: kebab-case-string
# Output: kebabCaseString
# --- camelCase to snake_case ---
# Pattern: ([a-z])([A-Z])
# Replacement: $1_$2
# Then lowercase the result
# Input: camelCaseString
# Output: camel_case_string
# --- PascalCase to snake_case ---
# Pattern: ([A-Z])
# Replacement: _$1 (then trim leading _ and lowercase)
# Input: PascalCaseString
# Output: pascal_case_string
# --- Remove Extra Capitals (hELLO → HELLO) ---
# Pattern: ([A-Z])([a-z])
# Notes: Complex - use callback logic
# Input: hELLO wORLD
# Output: HELLO WORLD
📝 Normalisation d'URL regex
Standardiser les URL en ajoutant un protocole, en supprimant www, en normalisant les chemins
# URL Normalization Examples
# Patterns for standardizing URL formats
# --- Add HTTPS Protocol (example.com → https://example.com) ---
# Pattern: ^(?!https?://)(.*)
# Replacement: https://$1
# Input: example.com
# Output: https://example.com
# --- Remove www (https://www.example.com → https://example.com) ---
# Pattern: https?://www\.(.*)
# Replacement: https://$1
# Input: https://www.example.com
# Output: https://example.com
# --- Add Trailing Slash (https://example.com → https://example.com/) ---
# Pattern: ^(https?://[^/]+)$
# Replacement: $1/
# Input: https://example.com
# Output: https://example.com/
# --- Remove Trailing Slash (https://example.com/ → https://example.com) ---
# Pattern:^(https?://.+)/$
# Replacement: $1
# Input: https://example.com/
# Output: https://example.com
# --- Convert HTTP to HTTPS (http://example.com → https://example.com) ---
# Pattern: http://(.*)
# Replacement: https://$1
# Input: http://example.com
# Output: https://example.com
# --- Remove Duplicate Slashes (https://example.com//path → https://example.com/path) ---
# Pattern: (?<!:)/{2,}
# Replacement: /
# Input: https://example.com//path
# Output: https://example.com/path
# --- Normalize Path Slashes (https://example.com/path/ → https://example.com/path) ---
# Pattern: (.+)/$
# Replacement: $1
# Input: https://example.com/path/
# Output: https://example.com/path
# --- Remove Fragment (https://example.com#section → https://example.com) ---
# Pattern: ^(.*?)#.*$
# Replacement: $1
# Input: https://example.com#section
# Output: https://example.com
# --- Remove Query Parameters (https://example.com?param=value → https://example.com) ---
# Pattern: ^(.*?)\?.*$
# Replacement: $1
# Input: https://example.com?param=value
# Output: https://example.com
# --- Remove Port Number (https://example.com:8080 → https://example.com) ---
# Pattern: ^(https?://[^/:]+):\d+(.*)$
# Replacement: $1$2
# Input: https://example.com:8080/path
# Output: https://example.com/path
# --- Lowercase Domain (HTTPS://EXAMPLE.COM → https://example.com) ---
# Pattern: ^(https?://)([^/]+)
# Notes: Use callback to lowercase group 2
# Input: HTTPS://EXAMPLE.COM
# Output: https://example.com
📝 Suppression et Conversion de Balises HTML regex
Supprimer les balises HTML ou les convertir en markdown et autres formats
# HTML Tag Removal and Conversion Examples
# Patterns for stripping or converting HTML markup
# --- Remove All HTML Tags ---
# Pattern: <[^>]*>
# Replacement: (empty)
# Input: <p>Hello <b>world</b></p>
# Output: Hello world
# --- Convert <b> to Markdown Bold ---
# Pattern: <b>(.*?)</b>
# Replacement: **$1**
# Input: <b>bold text</b>
# Output: **bold text**
# --- Convert <i> to Markdown Italic ---
# Pattern: <i>(.*?)</i>
# Replacement: *$1*
# Input: <i>italic text</i>
# Output: *italic text*
# --- Convert <h1> to Markdown Header ---
# Pattern: <h1>(.*?)</h1>
# Replacement: # $1
# Input: <h1>Title</h1>
# Output: # Title
# --- Convert <a> to Markdown Link ---
# Pattern: <a href="([^"]*)"[^>]*>(.*?)</a>
# Replacement: [$2]($1)
# Input: <a href="https://example.com">Link</a>
# Output: [Link](https://example.com)
# --- Convert <img> to Markdown Image ---
# Pattern: <img src="([^"]*)"[^>]*alt="([^"]*)"[^>]*/?>
# Replacement: 
# Input: <img src="pic.jpg" alt="Picture"/>
# Output: 
# --- Remove Script Tags ---
# Pattern: <script[^>]*>.*?</script>
# Replacement: (empty)
# Input: Hello<script>alert('xss')</script>World
# Output: HelloWorld
# --- Remove Style Tags ---
# Pattern: <style[^>]*>.*?</style>
# Replacement: (empty)
# Input: Text<style>body{color:red;}</style>More
# Output: TextMore
# --- Convert <br> to Newline ---
# Pattern: <br\s*/?>|<br>
# Replacement: \n
# Input: Line 1<br>Line 2
# Output: Line 1\nLine 2
# --- Convert <code> to Backticks ---
# Pattern: <code[^>]*>(.*?)</code>
# Replacement: `$1`
# Input: <code>var x = 1;</code>
# Output: `var x = 1;`
# --- Remove HTML Comments ---
# Pattern: <!--.*?-->
# Replacement: (empty)
# Input: Text<!-- comment -->More text
# Output: TextMore text
# --- Convert <ul>/<li> to Markdown List ---
# Pattern: </?ul>|<li>(.*?)</li>
# Replacement (multiple steps): First remove ul tags, then replace li with " - $1"
# --- Decode HTML Entities (& → &) ---
# Pattern: &
# Replacement: &
# Input: Tom & Jerry
# Output: Tom & Jerry
# --- Decode < and > ---
# Pattern: <|>
# Replacement (two steps): < → <, > → >
# Input: <tag>
# Output: <tag>
📝 Formatage de Nombres regex
Ajouter des séparateurs de milliers, le formatage décimal et la normalisation des nombres
# Number Formatting Examples
# Patterns for formatting numbers with separators and decimals
# --- Add Thousand Separators (1000000 → 1,000,000) ---
# Pattern: \B(?=(\d{3})+(?!\d))
# Replacement: ,
# Input: 1000000
# Output: 1,000,000
# --- Remove Thousand Separators (1,000,000 → 1000000) ---
# Pattern: ,
# Replacement: (empty)
# Input: 1,000,000
# Output: 1000000
# --- Add Decimal Point (1000 → 1000.00) ---
# Pattern: ^(\d+)$
# Replacement: $1.00
# Input: 1000
# Output: 1000.00
# --- Format Currency (1000000 → $1,000,000.00) ---
# Pattern: (\d)
# Notes: Multiple step process with callbacks
# Input: 1000000
# Output: $1,000,000.00
# --- Round to 2 Decimals (123.456 → 123.46) ---
# Pattern: ^\d+\.\d{2}(\d)
# Notes: Use callback for rounding logic
# Input: 123.456
# Output: 123.46
# --- Remove Decimals (123.45 → 123) ---
# Pattern: \.(\d+)
# Replacement: (empty)
# Input: 123.45
# Output: 123
# --- Pad Integer with Zeros (123 → 00123) ---
# Pattern: ^(\d+)$
# Notes: Use callback with padStart(5, '0')
# Input: 123
# Output: 00123
# --- Format Percentage (0.85 → 85%) ---
# Pattern: (\d+)\.\d+
# Notes: Use callback to multiply by 100
# Input: 0.85
# Output: 85%
# --- Add Plus Sign for Positive (+100) ---
# Pattern: ^(\d+)$
# Replacement: +$1
# Input: 100
# Output: +100
# --- Format Negative Numbers (-1000 → -1,000) ---
# Pattern: -(\d)(?=(\d{3})+(?!\d))
# Replacement: -$1,
# Input: -1000000
# Output: -1,000,000
# --- Format Phone-like Numbers (1234567 → 123-4567) ---
# Pattern: (\d{3})(\d{4})
# Replacement: $1-$2
# Input: 1234567
# Output: 123-4567
# --- Format SSN (123456789 → 123-45-6789) ---
# Pattern: (\d{3})(\d{2})(\d{4})
# Replacement: $1-$2-$3
# Input: 123456789
# Output: 123-45-6789
# --- Format IP Address (19216811 → 192.168.1.1) ---
# Pattern: (\d{1,3})(\d{1,3})(\d{1,3})(\d{1,3})
# Notes: Requires validation of octet ranges
# Input: 19216811
# Output: 192.168.1.1
📝 Conversion Markdown regex
Convertir markdown en HTML ou autres formats
# Markdown Conversion Examples
# Patterns for converting markdown syntax to other formats
# --- Bold to HTML (**text** → <strong>text</strong>) ---
# Pattern: \*\*(.*?)\*\*
# Replacement: <strong>$1</strong>
# Input: **bold text**
# Output: <strong>bold text</strong>
# --- Italic to HTML (*text* → <em>text</em>) ---
# Pattern: \*(.*?)\*
# Replacement: <em>$1</em>
# Input: *italic text*
# Output: <em>italic text</em>
# --- Headers to HTML (# Title → <h1>Title</h1>) ---
# Pattern: ^(#{1,6})\s+(.*)$
# Replacement (varies by # count): <h{count}>$2</h{count}>
# Input: # Title
# Output: <h1>Title</h1>
# --- Code Block to HTML (```code``` → <pre><code>code</code></pre>) ---
# Pattern: ```([\s\S]*?)```
# Replacement: <pre><code>$1</code></pre>
# Input: ```code here```
# Output: <pre><code>code here</code></pre>
# --- Inline Code to HTML (`code` → <code>code</code>) ---
# Pattern: `([^`]+)`
# Replacement: <code>$1</code>
# Input: `var x = 1;`
# Output: <code>var x = 1;</code>
# --- Links to HTML ([text](url) → <a href="url">text</a>) ---
# Pattern: \[([^\]]+)\]\(([^)]+)\)
# Replacement: <a href="$2">$1</a>
# Input: [Link](https://example.com)
# Output: <a href="https://example.com">Link</a>
# --- Images to HTML ( → <img src="url" alt="alt"/>) ---
# Pattern: !\[([^\]]+)\]\(([^)]+)\)
# Replacement: <img src="$2" alt="$1"/>
# Input: 
# Output: <img src="pic.jpg" alt="Picture"/>
# --- Unordered Lists to HTML (- item → <li>item</li>) ---
# Pattern: ^-\s+(.*)$
# Replacement: <li>$1</li>
# Input: - item
# Output: <li>item</li>
# --- Ordered Lists to HTML (1. item → <li>item</li>) ---
# Pattern: ^\d+\.\s+(.*)$
# Replacement: <li>$1</li>
# Input: 1. item
# Output: <li>item</li>
# --- Blockquotes to HTML (> quote → <blockquote>quote</blockquote>) ---
# Pattern: ^>\s+(.*)$
# Replacement: <blockquote>$1</blockquote>
# Input: > Quote text
# Output: <blockquote>Quote text</blockquote>
# --- Horizontal Rule to HTML (--- → <hr/>) ---
# Pattern: ^-{3,}$
# Replacement: <hr/>
# Input: ---
# Output: <hr/>
# --- Strikethrough to HTML (~~text~~ → <del>text</del>) ---
# Pattern: ~~(.*?)~~
# Replacement: <del>$1</del>
# Input: ~~deleted~~
# Output: <del>deleted</del>
# --- Line Breaks to HTML (line\nline → line<br/>line) ---
# Pattern: \n
# Replacement: <br/>
# Input: Line 1\nLine 2
# Output: Line 1<br/>Line 2
📝 Normalisation des Guillemets regex
Convertir entre guillemets droits, guillemets courbes et autres types de guillemets
# Quote Normalization Examples
# Patterns for converting between different quote types
# --- Curly to Straight ("text" → "text") ---
# Pattern: ["|"|'|"|']
# Replacement: " or '
# Input: "Hello" and 'world'
# Output: "Hello" and 'world'
# --- Straight to Curly Double ("text" → "text") ---
# Pattern: "(.*?)"
# Notes: Requires context-aware replacement
# Input: "text"
# Output: "text"
# --- Straight to Curly Single ('text' → 'text') ---
# Pattern: '(.*?)'
# Notes: Requires context-aware replacement
# Input: 'text'
# Output: 'text'
# --- Normalize Double Quotes (""text"" → "text") ---
# Pattern: "{2,}
# Replacement: "
# Input: ""hello""
# Output: "hello"
# --- Normalize Single Quotes (''text'' → 'text') ---
# Pattern: '{2,}
# Replacement: '
# Input: ''hello''
# Output: 'hello'
# --- Convert Smart Quotes Left ("text" → "text") ---
# Pattern: "
# Replacement: "
# Input: "Hello"
# Output: "Hello"
# --- Convert Smart Quotes Right ("text" → "text") ---
# Pattern: "
# Replacement: "
# Input: "Hello"
# Output: "Hello"
# --- Convert Smart Single Left ('text' → 'text') ---
# Pattern: '
# Replacement: '
# Input: 'Hello'
# Output: 'Hello'
# --- Convert Smart Single Right ('text' → 'text') ---
# Pattern: '
# Replacement: '
# Input: 'Hello'
# Output: 'Hello'
# --- Remove Quotes Entirely ("text" → text) ---
# Pattern: ["']
# Replacement: (empty)
# Input: "text" and 'more'
# Output: text and more
# --- Escape Quotes for JSON ("text" → "text") ---
# Pattern: "
# Replacement: \"
# Input: He said "hello"
# Output: He said \"hello\"
# --- Unescape Quotes (\"text\" → "text") ---
# Pattern: \\"
# Replacement: "
# Input: \"hello\"
# Output: "hello"
# --- Convert Backticks to Quotes (`text` → "text") ---
# Pattern: `(.*?)`
# Replacement: "$1"
# Input: `text`
# Output: "text"
# --- Standardize Quote Spacing ( text " → text") ---
# Pattern: \s+(["'])
# Replacement: $1
# Input: hello " world "
# Output: hello "world "
📝 Conversion de Chemins regex
Convertir entre chemins de fichiers Windows et Unix, normaliser les séparateurs
# Path Conversion Examples
# Patterns for converting between different file path formats
# --- Windows to Unix (C:\\path\\to\\file → /c/path/to/file) ---
# Pattern: ^([A-Z]):\\(.*)$
# Replacement: /$1/$2
# Input: C:\\Users\\name\\file.txt
# Output: /C/Users/name/file.txt
# --- Unix to Windows (/home/user → C:\\home\\user) ---
# Pattern: ^/(.*)$
# Replacement: C:\\$1
# Input: /home/user/file.txt
# Output: C:\home\user\file.txt
# --- Normalize Forward Slashes (path\\to\\file → path/to/file) ---
# Pattern: \\\\
# Replacement: /
# Input: path\\to\\file
# Output: path/to/file
# --- Normalize Back Slashes (path/to/file → path\\to\\file) ---
# Pattern: /
# Replacement: \\\\
# Input: path/to/file
# Output: path\\to\\file
# --- Remove Drive Letter (C:\\path → /path) ---
# Pattern: ^[A-Z]:\\
# Replacement: /
# Input: C:\\Users\\name
# Output: /Users/name
# --- Add Drive Letter (/path → C:\\path) ---
# Pattern: ^/(.*)$
# Replacement: C:\\$1
# Input: /Users/name
# Output: C:\Users\name
# --- Convert Mixed Separators (path/to\\file → path/to/file) ---
# Pattern: [\/]+
# Replacement: /
# Input: path/to\\file
# Output: path/to/file
# --- Remove Trailing Separator (path/to/ → path/to) ---
# Pattern: [\/]+$
# Replacement: (empty)
# Input: path/to/
# Output: path/to
# --- Add Trailing Separator (path/to → path/to/) ---
# Pattern:([^\/]+)$
# Replacement: $1/
# Input: path/to
# Output: path/to/
# --- Remove Duplicate Separators (path//to///file → path/to/file) ---
# Pattern: [\/]{2,}
# Replacement: /
# Input: path//to///file
# Output: path/to/file
# --- UNC to Local Path (\\\\server\\share → //server/share) ---
# Pattern: ^\\\\
# Replacement: //
# Input: \\\\server\\share
# Output: //server/share
# --- Convert Network Path (//server/share → \\\\server\\share) ---
# Pattern: ^
# Replacement: \\\\ (on //server/share patterns)
# Input: //server/share
# Output: \\\\server\\share
# --- Remove Parent References (path/to/../file → path/file) ---
# Pattern: [^/\\]+/\\.\./
# Replacement: (empty)
# Input: path/to/../file
# Output: path/file
# --- Remove Current References (path/./file → path/file) ---
# Pattern: /\\.\./
# Replacement: /
# Input: path/./file
# Output: path/file
📝 Transformations de Texte Avancées regex
Transformations complexes incluant l'analyse CSV, le formatage des journaux et l'extraction de données
# Advanced Text Transformation Examples
# Complex patterns for data parsing and transformation
# --- CSV to Pipe Delimited (a,b,c → a|b|c) ---
# Pattern: ,
# Replacement: |
# Input: name,age,city
# Output: name|age|city
# --- Pipe to CSV (a|b|c → a,b,c) ---
# Pattern: \|
# Replacement: ,
# Input: name|age|city
# Output: name,age,city
# --- Extract IPs from Log (Failed IP: 192.168.1.1 → 192.168.1.1) ---
# Pattern: \b(?:\d{1,3}\.){3}\d{1,3}\b
# Notes: Use with match() instead of replace
# Input: User at 192.168.1.1 failed
# Output: 192.168.1.1
# --- Extract URLs from Text ---
# Pattern: https?://[^\s]+
# Notes: Use with match() instead of replace
# Input: Visit https://example.com for more
# Output: https://example.com
# --- Extract Email Addresses ---
# Pattern: \b[\w.%+-]+@[\w.-]+\.[A-Z]{2,}\b
# Notes: Use with match() instead of replace
# Input: Contact [email protected]
# Output: [email protected]
# --- Format Log Timestamp (2024-12-25T14:30:00 → 12/25/2024 2:30 PM) ---
# Pattern: (\d{4})-(\d{2})-(\d{2})T(\d{2}):(\d{2}):(\d{2})
# Notes: Use callback for complex date formatting
# Input: 2024-12-25T14:30:00
# Output: 12/25/2024 2:30 PM
# --- Remove ANSI Color Codes ---
# Pattern: \x1b\[[0-9;]*m
# Replacement: (empty)
# Input: \x1b[31mError\x1b[0m
# Output: Error
# --- Extract JSON Keys ---
# Pattern: "([^"]+)":
# Notes: Use with match() for key extraction
# Input: {"name": "John", "age": 30}
# Output: name, age
# --- Base64 Encode Preparation ---
# Pattern: (.)
# Notes: Each char needs btoa() conversion
# Input: Hello
# Output: SGVsbG8=
# --- Reverse String (Hello → olleH) ---
# Pattern: .
# Notes: Split, reverse, join - not pure regex
# --- Remove XML Tags ---
# Pattern: <[^>]+>
# Replacement: (empty)
# Input: <tag>content</tag>
# Output: content
# --- Extract Hashtags (Check #trending → #trending) ---
# Pattern: #[\w]+
# Notes: Use with match() instead of replace
# Input: Check #trending topics
# Output: #trending
# --- Extract Mentions (@user → @user) ---
# Pattern: @[\w]+
# Notes: Use with match() instead of replace
# Input: Hey @john check this
# Output: @john
# --- Format JSON (compact → pretty) ---
# Notes: Use JSON.stringify(obj, null, 2)
# Input: {"a":1,"b":2}
# Output: {\n "a": 1,\n "b": 2\n}
# --- Minify JSON (pretty → compact) ---
# Notes: Use JSON.stringify(obj)
# Input: {\n "a": 1\n}
# Output: {"a":1}