Test regular expressions with real-time match highlighting, flags, and capture groups.
Deconstruct and explain regular expression tokens, quantifiers, and groups in plain English.
Split text into an array or lines by a custom regex pattern.
Search and highlight substring or regex occurrences in text.
Compare two blocks of text and display additions, deletions, and differences.
Simple find-and-replace can't handle patterns like phone numbers, dates in varying formats, or repeated whitespace, but this regex find and replace tool can, letting you match complex patterns and rewrite them using capture groups instantly. It's built for developers reformatting log files or config values, writers doing bulk find-and-replace across a manuscript, and data cleaners standardizing inconsistent formatting across a large text block. Enter your regular expression, a replacement pattern (including $1-style capture group references), and your source text, and see the result update live as you refine the pattern. Since matching and replacing happen entirely in your browser, none of your text is ever uploaded. Paste your text and pattern below to start replacing instantly.
Use $1, $2, and so on to reference the first, second, and subsequent capture groups from your regex pattern in the replacement string.
A simple find-and-replace matches exact literal text, while regex find and replace matches flexible patterns — like any sequence of digits or an optional set of characters — making it far more powerful for structured text.
Yes, the tool supports standard flags such as case-insensitive (i) and global (g) matching so you can control how broadly the pattern applies.
Yes, all matching and replacing happens locally in your browser using JavaScript's regex engine, so nothing is uploaded to a server.
Common causes include unescaped special characters, incorrect flag settings, or a pattern that doesn't account for line breaks — reviewing the live match highlighting can help pinpoint the issue.
Yes, matches are typically highlighted in the source text before you confirm the replacement, letting you verify the pattern is correct.
Regex for Beginners: Your First Ten Patterns
A regex tutorial for beginners built around ten patterns you will actually reuse — word search, validation, dates, phone numbers, URLs, and duplicate words.
Why Your Regex Is Slow: Catastrophic Backtracking
Catastrophic backtracking explained: why nested quantifiers like (a+)+ blow up exponentially, how to spot ReDoS patterns, and five ways to fix them for good.
Greedy vs Lazy Matching in Regex
Why your regex matches too much, how greedy and lazy quantifiers differ step by step, and the negated character class that usually beats both options.