Replace Words in Text

Bulk replace lets you specify multiple find/replace pairs simultaneously instead of one at a time. Example: Replace 'color'→'colour', 'gray'→'grey', 'favorite'→'favourite' all in one operation. Add pairs using the '+Add' button, remove unwanted pairs with the X button. The tool processes all pairs sequentially—first pair replaces all matches, then second pair on the updated text, etc. Perfect for US→UK English conversion, rebranding (old name→new name across multiple terms), or fixing multiple typos at once. Saves massive time vs manual find-replace iterations.

Preserve Case Pattern (enabled when Case Sensitive is OFF) intelligently matches the capitalization of the original word when replacing. Examples: Find 'fox', Replace 'cat': 'FOX'→'CAT' (all caps preserved), 'Fox'→'Cat' (title case preserved), 'fox'→'cat' (lowercase preserved). Without this: 'FOX' and 'fox' would both become 'cat' (loses capitalization). Use for: Replacing proper nouns while maintaining sentence starts, rebranding product names across varied contexts, fixing terminology while preserving document formatting. Disable if you want exact replacement regardless of case.

Whole Words Only (enabled by default) ensures replacements only happen at word boundaries, not within other words. Example: Find 'cat', Replace 'dog': With Whole Words ON: 'The cat ran' → 'The dog ran' (✓). 'catalog' stays 'catalog' (✗ no match). 'scatter' stays 'scatter' (✗ cat is inside). With Whole Words OFF: 'The cat ran' → 'The dog ran' (✓). 'catalog' → 'dogalog' (✓ replaced inside). 'scatter' → 'sdogter' (✓ replaced inside). Always use whole words mode unless you specifically need substring replacement (rare cases like code refactoring).

The statistics panel shows 4 key metrics: Total: Total number of replacements made across all pairs. Pairs: Number of find/replace pairs that actually made replacements (some pairs might have zero matches). Before: Word count in original text. After: Word count in result (may differ if replacing with different word counts). Additionally, you get per-term replacement counts: see exactly how many times each find term was replaced. Example: Replaced 'colour'→'color' 15x, 'favourite'→'favorite' 8x. Helps verify all intended replacements happened and identify which terms appear most frequently.

Yes! The tool replaces any text string, including multi-word phrases. Examples: Replace 'New York' with 'Los Angeles', 'United States' with 'USA', 'in conclusion' with 'to summarize', 'on the other hand' with 'conversely'. Useful for: Replacing stock phrases in templates, updating multi-word product names ('iPhone 12'→'iPhone 13'), normalizing varied expressions ('phone number'/'telephone number'→'contact'), replacing location names, fixing repeated verbose phrases with concise alternatives.

Localization: Convert US→UK English ('color'→'colour', 'gray'→'grey', 'license'→'licence'). Rebranding: Replace old company/product names with new ones across documents. Error Correction: Fix recurring typos or misspellings in bulk ('teh'→'the', 'recieve'→'receive'). Terminology Updates: Replace deprecated terms ('blacklist'→'blocklist', 'master'→'primary'). Code Refactoring: Rename variables or functions (use carefully with whole words mode). Data Normalization: Standardize varied representations ('phone'/'tel'/'telephone'→'contact').

You can add unlimited pairs—click '+Add' to create as many as needed. The tool efficiently processes even 100+ pairs. For very large replacement lists (e.g., comprehensive localization dictionaries), consider processing in batches of 50-100 pairs for optimal performance. Each pair is processed sequentially, so order can matter if replacements overlap. Example: If pair 1 replaces 'A'→'B' and pair 2 replaces 'B'→'C', final result is 'A'→'C' (pair 1 creates 'B', then pair 2 replaces it with 'C'). Organize pairs logically for predictable results.

Pairs are processed sequentially, so overlapping patterns can have cascading effects. Example: Pair 1: 'cat'→'dog', Pair 2: 'dog'→'wolf'. Text 'cat' becomes: Step 1: 'cat'→'dog'. Step 2: 'dog'→'wolf'. Final: 'wolf' (cat ultimately becomes wolf). To avoid unintended cascades: (1) Order pairs carefully—more specific replacements first, (2) Use whole words mode to prevent substring matches, (3) Review statistics to verify replacement counts match expectations. For independent replacements without cascading, ensure find terms don't appear in any replace values.

The tool processes in real-time as you type, showing instant results. There's no separate 'preview' mode—the output panel IS the preview. To test replacements safely: (1) Copy original text to clipboard first (backup), (2) Review output before copying/downloading, (3) Check the statistics panel to verify replacement counts, (4) Upload a test file instead of production content initially. Since processing is client-side (browser-only), you can refresh the page to restore original state or click 'Clear' and re-paste. For critical documents, always test on a sample first.

100% private. All text replacement happens entirely in your browser using JavaScript. Your text never leaves your device, isn't uploaded to servers, isn't logged, and isn't stored anywhere. Even file uploads are processed locally—no network transmission. Check your browser's Network tab to verify zero data sent. Essential for processing confidential documents like contracts (replacing client names), legal briefs, proprietary code, HR documents (replacing employee names), or any sensitive content requiring complete privacy before applying bulk terminology changes or rebranding.