Find and Replace Text

About Find and Replace

The Find and Replace tool allows you to quickly search for text patterns and replace them with different text. It supports both simple text replacement and advanced regex patterns for complex find-and-replace operations.

Features:

  • Simple text find and replace
  • Case-sensitive search option
  • Regular expression (regex) support
  • Shows match count in real-time
  • Replace all occurrences at once

Regex Examples:

  • \d+ - Find all numbers
  • \w+@\w+\.\w+ - Find email addresses
  • https?://\S+ - Find URLs
  • \s+ - Find whitespace

How It Works

Find and replace operates by searching text for a pattern (either a literal string or a regular expression) and substituting each occurrence with a replacement string. For plain text matching, the tool scans character by character to find exact substring matches, then replaces them while preserving the surrounding content.



Regular expression (regex) mode uses JavaScript's built-in regex engine to support powerful pattern matching. Patterns can match variable-length strings, character classes, anchors, and capture groups. Replacement strings can reference captured groups using $1, $2 syntax, enabling sophisticated transformations like reformatting dates, swapping word order, or restructuring data.



Case sensitivity is controlled by the 'i' flag in regex mode. The 'g' flag enables global replacement (all occurrences). Without the global flag, only the first match is replaced. Whole-word matching uses word boundaries () to prevent replacing substrings—ensuring "cat" doesn't match inside "catalog" or "concatenate."

Use Cases

1. Code Refactoring
Renaming variables, functions, or classes across a code snippet requires replacing all occurrences consistently. Find and replace with whole-word matching prevents partial matches—renaming a variable "count" won't accidentally change "countDown" or "accountType." Regex enables more complex refactorings like changing function signatures or updating API call patterns.



2. Data Cleaning and Transformation
CSV exports, database dumps, and log files often contain inconsistent formatting. Replacing smart quotes with standard quotes, normalizing phone number formats, converting date formats (from MM/DD/YYYY to YYYY-MM-DD), or removing unwanted characters are all common data cleaning tasks that batch find and replace handles efficiently.



3. Template Variable Substitution
Document templates use placeholder variables like {{name}}, [DATE], or {company}. Find and replace fills these placeholders with actual values when generating personalized letters, contracts, or reports. This is especially useful when working with templates before mail merge software or when you need precise control over substitutions.



4. Markdown and Documentation Updates
When URLs change, product names are rebranded, or terminology updates across a documentation site, find and replace handles bulk updates across copied text. Replacing all instances of "v1.0" with "v2.0" or updating API endpoint URLs is trivial with a reliable find and replace tool.



5. Configuration File Updates
Server configurations, environment files, and settings documents often need consistent updates across multiple instances. Replacing a staging server URL with a production URL, updating a database name, or changing a port number throughout a configuration file is faster and more reliable than manual editing.

Tips & Best Practices

Test regex patterns before replacing: Use the find-only mode first to verify your regex matches what you expect. Unexpected matches in complex patterns can cause unintended replacements.



Use capture groups for restructuring: To swap "First Last" to "Last, First", use pattern (\w+) (\w+) and replacement $2, $1. Capture groups let you rearrange matched content without losing it.



Escape special characters: In regex mode, characters like ., *, +, ?, (, ), [, and { have special meaning. To match them literally, prefix with a backslash: \. matches a period, not any character.



Whole word matching prevents substring issues: When replacing short words that appear as parts of longer words, enable whole-word matching. Replacing "use" without word boundaries would also change "because" and "useful."



Keep original text backed up: For important text, keep a copy before making replacements. If a regex has an error, replacements can be difficult to undo manually, especially for large amounts of text.

Frequently Asked Questions

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