Regex Replace
Are you struggling with complex text patterns that need advanced find and replace functionality? We have the perfect solution for you! With dpiconverter.online Regex Replace tool, you can use powerful regular expressions for advanced text processing and pattern matching. Simply enter your text and regex pattern, and within seconds, your transformed text will be ready with precise replacements.
Pattern Matching
Regex Flags
Instant Results
Pattern Matching
Use powerful regex patterns to find complex text structures.
Regex Flags
Case insensitive, multiline, global, and other regex modifiers.
Quick Patterns
Pre-built patterns for common tasks like emails and URLs.
Regex Guide
Common Patterns:
- \\d+ - One or more digits
- \\w+ - One or more word characters
- \\s+ - One or more whitespace
- [a-z]+ - One or more lowercase letters
- .* - Any characters (greedy)
- .*? - Any characters (non-greedy)
Capture Groups:
- (pattern) - Create capture group
- $1, $2 - Reference groups in replacement
- (?:pattern) - Non-capturing group
- Example:
(\d{3})-(\d{4})→$1.$2
Frequently Asked Questions
Regular expressions (regex) are powerful patterns that match text based on rules rather than exact strings. They're essential for finding emails, phone numbers, URLs, or any complex text patterns. Much more flexible than simple find-and-replace operations.
Wrap parts of your pattern in parentheses to create capture groups, then reference them with $1, $2, etc. in the replacement. For example: pattern `(\d{3})-(\d{3})-(\d{4})` with replacement `($1) $2-$3` transforms "123-456-7890" to "(123) 456-7890".
Global (g) replaces all matches, not just the first. Case insensitive (i) ignores letter case. Multiline (m) makes ^ and $ match line boundaries. Dotall (s) makes . match newlines too. Combine flags for precise control over pattern matching behavior.
Yes! Use the sample text feature to test patterns safely. The tool shows match counts and results before you commit changes. Start with simple patterns and gradually add complexity. Always test on sample data before processing important documents.
Email: `[\w\.-]+@[\w\.-]+\.\w+`, Phone: `\d{3}-\d{3}-\d{4}`, URL: `https?://[\w\.-]+`, Whitespace: `\s+`, Digits: `\d+`, Word characters: `\w+`. Use \b for word boundaries and .*? for non-greedy matching.
Use backslashes to escape special regex characters: `\.` for literal dots, `\$` for dollar signs, `\+` for plus signs, etc. Characters like . + * ? ^ $ { } [ ] \ | ( ) have special meanings in regex and need escaping for literal matching.
Absolutely! Leave the replacement field empty to remove matched text. Use `\s+` to remove extra whitespace, `[^\w\s]` to remove special characters, or `\n\n+` to remove extra blank lines. Perfect for cleaning up imported data or formatting text.