Remove Words from Text

Enter all words you want to remove in the "Words to Remove" box, separated by commas or newlines. Examples: 'apple, banana, orange' (comma-separated) or list them on separate lines. The tool processes all words simultaneously and shows how many times each word was removed. You can remove hundreds of different words in a single operation—perfect for bulk cleaning tasks like removing stopwords or filtering profanity lists.

Whole Words Only (enabled by default) ensures words are matched at word boundaries only, not as substrings within other words. Example removing 'cat': With whole words ON, 'The cat in category' becomes 'The in category' (only standalone 'cat' removed, 'cat' in 'category' stays). With it OFF, 'The cat in category' becomes 'The in egory' (partial match removes 'cat' from 'category'). Always use whole words mode unless you specifically need substring removal.

Smart Cleanup automatically fixes formatting issues after removing words: (1) Collapses multiple spaces into single spaces, (2) Fixes spacing around punctuation ('word . sentence' → 'word. sentence'), (3) Removes trailing/leading spaces, (4) Optionally removes empty lines. Disable it by enabling 'Preserve Formatting' if you need to maintain original spacing exactly as-is (rare use cases like formatted tables or code).

The statistics panel shows: Original (word count before removal), Result (word count after removal), Removed (total words deleted), Reduction (percentage decrease in word count). Additionally, you get a per-word breakdown showing exactly how many times each specific word was removed. Example: Original: 100, Result: 85, Removed: 15, Reduction: 15%. Breakdown: 'the' removed 8x, 'and' removed 5x, 'very' removed 2x. This helps verify removals worked correctly.

Use Case Sensitive when capitalization matters. Examples: Remove 'Apple' (company) but keep 'apple' (fruit). Remove 'IT' (department) but keep 'it' (pronoun). Remove 'US' (country) but keep 'us' (pronoun). Leave it OFF (default) for general word removal where 'The', 'THE', and 'the' should all be treated identically. Case sensitive mode is essential for proper nouns vs common words disambiguation.

Stopword Removal: Delete common words (the, and, or, is, etc.) from keyword lists, tags, or SEO metadata. Content Moderation: Remove profanity, slurs, or banned terms from user-generated content. Privacy Protection: Strip names, locations, or sensitive identifiers before sharing documents. Data Cleaning: Remove filler text, placeholders, or unwanted markers from datasets. SEO Optimization: Delete overused words to reduce keyword stuffing. Translation Prep: Remove language-specific articles before machine translation.

Yes! The tool removes any text string you specify, including multi-word phrases. Examples: Remove 'New York City', 'very good', 'in conclusion', or 'on the other hand'. Just enter the complete phrase. The tool treats each line or comma-separated entry as an independent removal target. Useful for: (1) Removing stock phrases from templates, (2) Deleting boilerplate text, (3) Stripping repeated marketing taglines, (4) Cleaning formatted text with consistent multi-word patterns.

Standard mode (Preserve Formatting OFF): Applies smart cleanup—collapses extra spaces, fixes punctuation spacing, removes empty lines (if enabled). Best for normal prose text. Preserve Formatting (enabled): Keeps all original spacing, newlines, and whitespace exactly as-is, only removing the target words. Use when: (1) Processing code where spaces matter, (2) Formatted tables with specific column alignment, (3) Poetry/lyrics where line breaks are meaningful, (4) Data files with structured spacing (CSV-like formats).

Remove Empty Lines (enabled by default) deletes lines that become completely empty after word removal. Example: Original has 'The cat\n\nThe dog'. Remove 'The cat' → without empty line removal: '\n\nThe dog' (blank line remains). With empty line removal: 'The dog' (clean result). Disable this option if empty lines serve a structural purpose (separating sections) or when processing data where line count must stay constant (logs with timestamps).

100% secure. All word removal 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. Even file uploads are processed locally—zero network transmission. Check your browser's Network tab to verify no data sent. Essential for processing confidential documents, removing sensitive terms from legal files, cleaning proprietary data, moderating private communications, or scrubbing personal information from documents before sharing.