MyPocketTools

Find and Replace

Search and replace text with support for regular expressions, case sensitivity, and whole word matching.

Find and Replace
Input Text
Output Text
Examples

Basic Find and Replace

Find Text: apple

Replace With: orange

"I like apple pie" → "I like orange pie"

Regex Example

Find Text: \d+

Replace With: [NUMBER]

"Price: 123 dollars" → "Price: [NUMBER] dollars"

Use Regular Expressions: ON

Regex Tips

• \d - Any digit (0-9)

• \w - Any word character (a-z, A-Z, 0-9, _)

• \s - Any whitespace (space, tab, newline)

• . - Any single character

• + - One or more of previous

• * - Zero or more of previous

What is Find and Replace?

Find and replace is an essential text editing feature that searches for specific text patterns and replaces them with new text. Our advanced find and replace tool supports regular expressions (regex) for complex pattern matching, case-sensitive searches, whole word matching, and both single and global replacements. Perfect for bulk editing, data processing, text transformation, code refactoring, and content editing. See match details with line and column numbers, validate regex patterns in real-time, and process large amounts of text efficiently. All processing happens in your browser for complete privacy.

Key Features

  • Regular Expressions: Use powerful regex patterns for complex searches
  • Case Sensitive Search: Toggle case-sensitive matching on or off
  • Whole Word Matching: Match complete words only, avoiding partial matches
  • Global Replace: Replace all occurrences or just the first match
  • Match Details: See line and column numbers for each match
  • Real-time Validation: Instant regex pattern validation with error messages

How to Use

  1. Enter the text you want to find in the 'Find Text' field
  2. Enter the replacement text in the 'Replace With' field
  3. Configure options (case-sensitive, whole word, regex, replace all)
  4. View matches and click 'Replace' or 'Replace All'

Common Use Cases

  • Code Refactoring: Rename variables, functions, or update API endpoints across files
  • Data Cleaning: Standardize formats, remove unwanted characters, or correct repeated text
  • Content Editing: Update links, fix typos, or correct repeated phrases in documents
  • Log Processing: Extract specific information or filter log entries using regex
  • Text Transformation: Convert between formats or restructure data patterns
  • Bulk Editing: Make consistent changes across large amounts of text efficiently