Add Symbols Around Words
Wrap every word in custom delimiters via recursive parsing. Normalize datasets and reformat strings for strict RFC compliance. Export sanitized text.
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Left Symbol
Right Symbol
2
Error: Unable to add symbols around the words.
Please configure parameters and execute the action.
About Add Symbols Around Words
Add Symbols Around Words wraps every detected word with a custom left and right symbol. It is useful for creating tagged word lists, marked-up study notes, decorative text, or placeholder patterns around tokens.
How It Works
Use the tool in three simple steps:
- Paste the text - Add the text that contains the words you want to wrap.
- Set the symbols - Enter the left and right symbols or short strings to place around every word.
- Generate the result - Click Add Symbols to wrap all detected words in the text.
Basic Examples
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Wrap every word with angle brackets
Input: sunrise over calm water Left symbol: < Right symbol: > Output: <sunrise> <over> <calm> <water>
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Keep contractions together
Input: we don't stop here Left symbol: [ Right symbol: ] Change Words with Apostrophes: On Output: [we] [don't] [stop] [here]
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Wrap hyphenated words as one word
Input: well-known sea-bird Left symbol: ( Right symbol: ) Change Words with Hyphens: On Output: (well-known) (sea-bird)
Real-World Usage Scenarios
- PPC Keyword Formatting - Search Engine Advertising - Digital marketers use this tool to quickly wrap keyword lists in square brackets [exact match] or quotation marks "phrase match" for Google Ads and Microsoft Advertising campaigns. It eliminates manual entry for large keyword sets.
- Programming - Array and List Generation - Developers can wrap raw text strings in single or double quotes and commas to convert a plain list of words into a format ready for code arrays, JSON objects, or SQL IN clauses.
- Web Styling - Batch HTML Tagging - Front-end developers use the tool to wrap words in or tags. This allows for specific CSS styling of every word within a paragraph or header without writing repetitive markup manually.
- NLP Data Preparation - Token Labeling - Data scientists preparing datasets for Natural Language Processing use symbols to mark tokens or define entity boundaries, making raw text easier for machine learning models to parse during training.
Frequently Asked Questions
How does the tool handle hyphenated words or contractions?
You can toggle the 'Change Words with Hyphens' or 'Change Words with Apostrophes' options. When enabled, the tool treats these as single units (e.g., 'well-known' or 'don't') instead of splitting them into separate wrapped words.
What does the 'Keep Word Case' setting do?
If a word starts with a capital letter, the tool automatically capitalizes the first character of your left symbol. For example, if your symbol is 'tag' and the word is 'Apple', the result becomes 'TagApple'.
Can I use multiple characters or emojis as symbols?
Yes. The input fields accept single symbols, multi-character strings, HTML tags, or even emojis to decorate or categorize your text.
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