Remove Suffix from Words
Strip text, patterns, or characters from the end of every word.
Configuration
Strip the Endings: Clean Every Word Suffix
When managing file libraries, database exports, or code identifiers, word suffixes create formatting challenges. File extensions (.txt, .jpg, .pdf) that were necessary for organization now clutter analysis when you need just the filenames. Plural markers (s, es) on words complicate singular form extraction. Version tags (_v1, _old, _backup) appended to variable names need removal after code refactoring. Manually stripping these from hundreds or thousands of words is labor-intensive—but automated suffix removal is instant.
The Remove Suffix from Words tool automates word-ending cleanup. It offers three powerful removal modes: remove specific strings (like ".txt" or "s"), use regex patterns for advanced matching (like \.(txt|pdf)$ to strip multiple extensions), or simply delete the last N characters from every word. The tool also includes unwrapping to remove brackets/quotes first, word filtering to skip short words, and trim options to clean trailing whitespace—all while processing thousands of words per second in your browser.
Why Remove Suffixes from Words?
- ✓File Management: Strip extensions (.txt, .jpg, .pdf) from filename lists to get base names for renaming scripts, database imports, or file processing automation.
- ✓Text Normalization: Remove plural markers (s, es) to convert word lists to singular forms for dictionary matching, SEO keyword analysis, or database standardization.
- ✓Code Cleanup: Strip version suffixes (_v1, _old, _backup, _temp) from variable names, function identifiers, or database column names after cleanup operations.
- ✓Data Processing: Remove unit labels (kg, m, USD), category tags, or trailing identifiers from CSV exports before analytics or visualization.
Common Use Cases
File Library Management
Remove file extensions from lists of photos, documents, or assets. Perfect for photographers preparing upload lists, designers organizing asset databases, or developers creating file manifests without extensions.
Post-Refactoring Cleanup
Strip temporary suffixes (_backup, _old, _v1) from code identifiers after refactoring. Clean database column names that were marked with version indicators during schema migrations or A/B testing.
Dictionary Singularization
Mechanically remove plural "s" or "es" from word lists for dictionary creation, keyword research, or SEO analysis. Useful when you need singular forms for database matching or content analysis.
Unit Label Removal
Strip measurement units (kg, m, cm, USD) or tracking suffixes from data exports. Prepare CSV files for import into analytics platforms, ERP systems, or visualization tools that expect clean numeric values.
See it in action
Professional Features
Precise Text Removal
Target exact strings to remove. Only words ending with your text will be modified.
Regex Support
Advanced users can use Regular Expressions to match complex patterns like extensions or version numbers.
Count Removal
Don't know the exact text? Simply delete the last N characters from every word.
Smart Unwrapping
Remove surrounding brackets `[word]` or quotes `"word"` first, then apply your main suffix removal.
Word Filtering
Skip short words by setting minimum word length. Protect small words from modification.
Private & Secure
100% client-side processing. Your text never leaves your browser. No server uploads, no data tracking.
How to use this tool
Input Content
Paste your text with suffixed words or upload a file.
Choose Mode
Select "Specific Text", "Regex Pattern", or "Last N Chars".
Set Target
Enter the text, pattern, or number of characters to remove.
Copy Result
Copy the clean text to clipboard or download as a file.