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Find & Replace Tool

Powerful text search and replace with regex support, highlighting, and advanced options.

Content

// Find & Replace Testing Examples // 1. MATCH CASE Testing: const user = "john"; const User = "ADMIN"; const USER_ID = 12345; const userProfile = { name: "Jane" }; // Try searching "user" with Match Case ON/OFF // 2. MATCH WORD Testing: const sum = 100; const summary = "Monthly report"; const consume = true; const assumption = "test"; // Try searching "sum" with Match Word ON/OFF // 3. MULTI-LINE Testing Examples: const user = "john"; const User = "ADMIN"; function oldFunction() { console.log("This is old"); return true; } function anotherOldFunction() { console.log("Another old one"); return false; } /* Multi-line comment that spans multiple lines for testing */ // Try these multi-line patterns: // Copy this exactly (including line breaks): const user = "john"; const User = "ADMIN"; // Or this function block: function oldFunction() { console.log("This is old"); return true; } // 4. REGEX Testing Examples: const phone1 = "123-456-7890"; const phone2 = "(555) 123-4567"; const email1 = "[email protected]"; const email2 = "[email protected]"; // Try these regex patterns: // \d{3}-\d{3}-\d{4} (matches 123-456-7890) // \w+@\w+\.\w+ (matches emails) // \b[A-Z]+\b (matches all-caps words) // 5. Combined Testing: const data = { id: 1, ID: 2, dataId: 3, myDataObject: "test" }; // Try "id" with different combinations: // Match Case OFF + Match Word OFF = finds all // Match Case ON + Match Word ON = finds only exact "id"

// Find & Replace Testing Examples

// 1. MATCH CASE Testing:
const user = "john";
const User = "ADMIN";
const USER_ID = 12345;
const userProfile = { name: "Jane" };

// Try searching "user" with Match Case ON/OFF

// 2. MATCH WORD Testing:
const sum = 100;
const summary = "Monthly report";
const consume = true;
const assumption = "test";

// Try searching "sum" with Match Word ON/OFF

// 3. MULTI-LINE Testing Examples:
const user = "john";
const User = "ADMIN";

function oldFunction() {
    console.log("This is old");
    return true;
}

function anotherOldFunction() {
    console.log("Another old one");
    return false;
}

/* Multi-line comment
   that spans multiple
   lines for testing */

// Try these multi-line patterns:
// Copy this exactly (including line breaks):
const user = "john";
const User = "ADMIN";

// Or this function block:
function oldFunction() {
    console.log("This is old");
    return true;
}

// 4. REGEX Testing Examples:
const phone1 = "123-456-7890";
const phone2 = "(555) 123-4567";
const email1 = "test@example.com";
const email2 = "admin@company.org";

// Try these regex patterns:
// \d{3}-\d{3}-\d{4}  (matches 123-456-7890)
// \w+@\w+\.\w+      (matches emails)
// \b[A-Z]+\b          (matches all-caps words)

// 5. Combined Testing:
const data = {
  id: 1,
  ID: 2,
  dataId: 3,
  myDataObject: "test"
};

// Try "id" with different combinations:
// Match Case OFF + Match Word OFF = finds all
// Match Case ON + Match Word ON = finds only exact "id"

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Examples & Use Cases

Before:
Manually searching through files to find and replace function names, risking missed instances or typos in large codebases.
After:
Use regex patterns to find exact matches with word boundaries, ensuring precise replacements without affecting similar names.

Efficiently refactor code by finding exact variable names and function calls with precision using word matching and regex patterns.

Code Refactoring

Rename variables, functions, or update API endpoints across large codebases.

Before:
Struggling to find and replace code blocks that span multiple lines, like function definitions or comment blocks.
After:
Simply copy the exact multi-line pattern (including line breaks) into the search field to find and replace entire code blocks, comments, or structured text.

Handle complex multi-line patterns for code refactoring, comment updates, and structured text transformations with ease.

Multi-line Code Patterns

Find and replace multi-line code blocks, function definitions, or structured text.

Before:
Inconsistent formatting with mixed spaces, tabs, and line breaks making text difficult to process or read properly.
After:
Use regex patterns to find and replace multiple spaces with single spaces, standardize line breaks, and clean up formatting consistently.

Streamline text processing with regex patterns to clean, format, and standardize large amounts of text efficiently.

Text Processing & Cleanup

Clean up formatted text, remove unwanted characters, or standardize formatting.

Before:
Manually updating hundreds of URLs or data field names in configuration files, prone to human error and very time-consuming.
After:
Use precise pattern matching to update URL schemes, transform field names, or convert between data formats with confidence.

Transform data structures and formats quickly using powerful find and replace with regex support for complex pattern matching.

Data Transformation

Convert data formats, update URLs, or transform CSV/JSON structures.

Before:
Updating product names or terminology across multiple documents manually, missing instances and creating inconsistencies.
After:
Use word matching to ensure you're replacing complete terms only, avoiding partial matches that could break context.

Maintain consistency in documentation and content by using word boundaries and case-sensitive matching for precise updates.

Content Management

Update documentation, change terminology, or modify large text documents.

Frequently Asked Questions

The tool supports standard JavaScript regex patterns including character classes, quantifiers, groups, and lookaheads. Invalid regex patterns are handled gracefully without breaking the tool.

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Find & Replace Tool

Examples & Use Cases

Frequently Asked Questions

How does the highlighting work in real-time?

Is my text data stored anywhere?

What regex patterns are supported?

Can I use this for large text files?

What's the difference between 'Replace First' and 'Replace All'?

How do the match options work together?

How does multi-line search work?

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