String Splitter

Getting Started

Using the String Splitter is simple and powerful:

Basic Usage

1. Enter Text: Paste or type the text you want to split
2. Set Delimiter: Enter the separator character or string
3. Configure Options: Enable trim whitespace or remove empty entries
4. Split: Click to process and split the text
5. Copy Result: Copy the split results for use elsewhere

Common Delimiters

Standard Separators

• Comma (,): CSV files, lists, data exports
• Space ( ): Word lists, simple data
• Tab (\t): TSV files, tabular data
• Semicolon (;): European CSV format, alternative separator
• Pipe (|): Database exports, structured data

Line Breaks

• Newline (\n): Split by lines (already line-separated text)
• Paragraph breaks: Double newlines for paragraph splitting

Custom Delimiters

• Multi-character: Use any string like " - ", " :: ", or custom patterns
• Special characters: Colon (:), slash (/), dash (-), etc.
• Custom text: Any specific text pattern you need

Processing Options

Trim Whitespace

Removes leading and trailing spaces from each split item:

• Before: " apple ", " banana ", " cherry "
• After: "apple", "banana", "cherry"
• Use when: Data has inconsistent spacing

Remove Empty Entries

Filters out empty strings from the result:

• Before: "apple", "", "banana", "", "cherry"
• After: "apple", "banana", "cherry"
• Use when: Data has consecutive delimiters or trailing separators

Common Use Cases

Data Processing

• CSV Parsing: Split comma-separated values into individual items
• TSV Processing: Parse tab-separated data
• Database Exports: Split pipe-delimited or custom-delimited data
• Log Analysis: Parse structured log entries

List Management

• Email Lists: Split comma or semicolon-separated email addresses
• Tag Processing: Parse comma-separated tags or keywords
• Name Lists: Split lists of names or items
• URL Lists: Parse lists of URLs or paths

Text Formatting

• Sentence Splitting: Split by periods or other punctuation
• Word Extraction: Split by spaces to get individual words
• Paragraph Parsing: Split by double newlines
• Custom Format Conversion: Transform delimited text to line-separated

Development Tasks

• Array Creation: Convert delimited strings to array format
• Config Parsing: Split configuration values
• Path Processing: Split file paths or URLs
• Data Transformation: Convert between different delimiter formats

Examples

Example 1: CSV Data

Input: apple,banana,cherry,date

Delimiter: ,

Result:

• apple
• banana
• cherry
• date

Example 2: Space-Separated with Trimming

Input: apple banana cherry

Delimiter: (space)

Options: Trim whitespace ✓, Remove empty ✓

Result:

• apple
• banana
• cherry

Example 3: Custom Multi-Character Delimiter

Input: apple :: banana :: cherry

Delimiter: ::

Result:

• apple
• banana
• cherry

Best Practices

Choosing Delimiters

• Match Source Format: Use the delimiter that exists in your data
• Avoid Ambiguity: Choose delimiters that don't appear in your data
• Consider Standards: Use comma for CSV, tab for TSV
• Test First: Try with a small sample before processing large data

Using Options Effectively

• Always Trim: Enable for cleaner results in most cases
• Remove Empty: Enable when data has inconsistent delimiters
• Keep Empty: Disable when empty values are meaningful
• Preview Results: Check the count to verify splitting worked correctly

Data Quality

• Check for unexpected delimiters in your data
• Verify the split count matches expectations
• Review results for any anomalies
• Consider escaping if delimiter appears in data values

Key Features

• Custom Delimiters: Use any character or string as separator
• Whitespace Trimming: Clean up spacing automatically
• Empty Removal: Filter out blank entries
• Item Count: See how many items were created
• Numbered Output: Results shown with line numbers
• One-Click Copy: Copy all results easily
• No Length Limit: Process text of any size
• Privacy Protected: All processing happens locally

Tips & Tricks

• Use multi-character delimiters for complex data formats
• Enable both trim and remove empty for cleanest results
• Split by newline to convert line-separated to numbered list
• Use space delimiter with trim to extract words from sentences
• Combine with other tools for advanced text processing
• Test with a small sample before processing large datasets
• Check the item count to verify expected number of splits
• Use for quick data format conversion without coding

Special Cases

Handling Special Characters

• Tab: Copy and paste an actual tab character
• Newline: Text is already split by lines by default
• Quotes: Use as delimiter if needed (", ')
• Backslash: Can be used as delimiter (\)

Edge Cases

• No Delimiter Found: Returns original text as single item
• Empty Input: Returns no items
• Consecutive Delimiters: Creates empty items (unless removed)
• Trailing Delimiter: May create empty last item