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\d+ - Match numbers[A-Z]\w+ - Match capitalized words\s+ - Match whitespace^.*$ - Match entire lines\b\w{5}\b - Match 5-letter words(foo|bar) - Match foo or barShowing 8 of 94 related tools
Get up and running in 30 seconds
Paste your text, code, or data into the input area. The tool supports any text format including code, JSON, CSV, logs, or plain text.
Enter the text or regex pattern to find. Enable case-sensitive matching, whole word matching, or regex mode for complex patterns. The tool highlights all matches in real-time.
Enter the replacement text. Use regex capture groups ($1, $2) for advanced replacements. Leave empty to delete matched text. Preview shows results before applying.
Click 'Replace All' to transform all matches, or 'Replace Next' to review each change individually. Copy the result or download as a file.
Understanding text search and replacement for developers
Find & Replace is a text transformation tool that searches for patterns in text and replaces them with new values. Beyond simple string substitution, modern find & replace tools support regular expressions, case-insensitive matching, whole word boundaries, and advanced pattern transformations essential for code refactoring, data cleaning, and bulk text editing.
Find & Replace is one of the most frequently used features in text editors, IDEs, and data processing tools. Developers use it daily to refactor variable names, update API endpoints, fix typos across files, transform data formats, and automate repetitive text editing tasks.
Code refactoring frequently requires renaming variables, functions, or classes across multiple occurrences. Find & Replace with whole word matching ensures exact matches without partial replacements. For example, renaming 'user' to 'customer' shouldn't change 'username' to 'customername'.
Data transformation tasks like converting date formats (MM/DD/YYYY to YYYY-MM-DD), standardizing phone numbers, or cleaning CSV data benefit from regex-based find & replace. A single regex pattern can transform thousands of records instantly.
Configuration updates require changing API endpoints, database URLs, or environment-specific values across multiple configuration files. Find & Replace with exact matching prevents accidental changes to similar but different values.
Content migration often needs updating URLs, fixing deprecated HTML tags, or standardizing terminology across documentation. Bulk find & replace saves hours compared to manual editing.
Code Refactoring: Rename variables, functions, or classes. Update import paths after reorganizing code. Replace deprecated API calls with new equivalents. Change coding conventions (camelCase to snake_case).
Data Cleaning: Standardize date formats, clean phone numbers, remove extra whitespace, fix encoding issues. Transform CSV data to match import requirements.
Configuration Updates: Update API endpoints across config files, change database connection strings, replace environment variables, update version numbers in multiple files.
Content Editing: Fix typos across large documents, update terminology, replace deprecated terms, standardize formatting, convert markup syntax (Markdown to HTML).
Manual editing is error-prone and time-consuming for multiple occurrences. Find & Replace guarantees consistency - all matches transform identically. Preview mode lets you verify changes before applying them, reducing risk.
Unlike basic text editor find & replace, this tool offers regex support, match counting, and batch processing. The browser-based interface works across operating systems without installation.
Real-time match highlighting shows exactly what will change before you commit to replacements. This visual feedback prevents unexpected transformations and helps refine search patterns.
How developers use find & replace daily
Rename variables, functions, or classes across code files. Use whole word matching to avoid partial replacements. Essential for improving code readability, following naming conventions, or migrating to new terminology.
Transform data formats like dates, phone numbers, or IDs using regular expressions and capture groups. Convert CSV data, clean imports, or standardize formats across datasets. Regex enables complex transformations in a single operation.
Update API endpoints, database URLs, environment variables, or version numbers across configuration files. Replace old values with new ones while preserving file structure. Critical for deployment, environment changes, or API migrations.
Fix typos across documentation, update deprecated terminology, convert markup formats, or clean up imported content. Essential for content management, documentation updates, or migrating between platforms.
Master pattern matching and text transformation
This find & replace tool provides powerful pattern matching with regex support, real-time match highlighting, and preview mode. All processing happens client-side for instant results and complete privacy.
Enter your text in the input area, type the search pattern in the "Find" field, and the replacement text in the "Replace" field. Click "Replace All" to transform all matches instantly. The tool shows match count before replacement so you know exactly how many changes will occur.
For simple text replacement, disable regex mode and case sensitivity. This treats the search pattern as literal text, matching exactly what you type. Use this for straightforward substitutions like replacing a company name or fixing typos.
Enable "Case Sensitive" to match exact capitalization. "User" won't match "user" or "USER". Use this when case matters, like distinguishing class names (User) from variable names (user) in code.
Enable "Whole Word" to match complete words only, respecting word boundaries. Searching for "cat" will match "cat" but not "category" or "concatenate". Essential for code refactoring to avoid partial matches in variable names.
Enable "Regex" to use regular expression patterns for advanced matching. Regex supports character classes (\d for digits, \w for word characters), quantifiers (* + ? {n}), and groups for complex patterns.
Common regex patterns: \d+ matches numbers, \s+ matches whitespace, .+ matches any characters. Use parentheses () to create capture groups, then reference them in replacement with $1, $2, etc.
For example, transform "John Doe" to "Doe, John" using pattern (\w+) (\w+) and replacement $2, $1. The first (\w+) captures "John" as $1, second captures "Doe" as $2.
"Replace All" transforms every match in one operation. Fast and efficient for bulk changes when you're confident in your pattern. Use after previewing matches with the highlight feature.
"Replace Next" steps through matches one at a time, allowing you to review each before replacement. Useful when matches need individual consideration or when testing a new regex pattern. Skip matches you want to keep unchanged.
Before replacing, the tool highlights all matches in the text. This visual preview shows exactly what will change. If highlighting looks wrong, refine your pattern before executing the replacement.
Match count displays above the input area (e.g., "42 matches found"). If the count is unexpected, review your pattern. Zero matches means the pattern doesn't match anything - check for typos or regex syntax errors.
Email addresses: [\w.-]+@[\w.-]+.\w+ Phone numbers: \d{3}-\d{3}-\d{4} or (\d{3}) \d{3}-\d{4} URLs: https?://[\w.-]+.\w+[\w/.-]* Dates (MM/DD/YYYY): \d{2}/\d{2}/\d{4} Remove extra spaces: \s{2,} (replace with single space) Trim whitespace: ^\s+|\s+$ (replace with empty)
Everything you need to know about find & replace
Your data never leaves your browser
Your text data never leaves your browser. This find & replace tool operates entirely client-side using JavaScript string methods and regex engine built into your web browser. There are no server uploads, no backend processing, and no data transmission to any external services.
This makes the tool safe for refactoring proprietary code, transforming sensitive data, cleaning confidential documents, or processing regulated information (HIPAA, GDPR, PCI-DSS). Use with confidence for production code, customer data, or private content.
Complex regex patterns with excessive backtracking can cause browser slowdown (ReDoS - Regular Expression Denial of Service). If a pattern takes longer than expected, simplify it or break the text into smaller chunks. Modern browsers limit regex execution time to prevent infinite loops.
When using regex patterns from external sources, test them on small samples first. Malicious regex patterns can freeze browsers, though they can't access your data or execute arbitrary code. This tool runs regex in a sandboxed environment with browser security protections.
Performance metrics and capabilities