Search and Replace

Search and replace text with optional regex support and match counting

Search and Replace Tool — Find and Replace Text with Real-Time Match Counting, Regex Support, Capture Group Substitution, and Case-Sensitive Options

1. Paste or type your source text into the input textarea — this accepts any text from short snippets to multi-megabyte documents. The Search and Replace tool is designed for precision text transformation tasks: cleaning up data exports (replacing inconsistent delimiters), refactoring code (renaming variables across a file), formatting documents (standardizing date formats, phone number patterns), and bulk editing (replacing company names, URLs, or terminology across large text corpora). Unlike find-and-replace in text editors, this tool shows all match statistics before you commit to the replacement, giving you confidence that your pattern matches exactly what you intend.
2. Enter your search pattern and replacement text in the respective fields. For basic text: enter literal strings for exact matching — the tool counts occurrences and replaces them (case-sensitive or case-insensitive, toggle-able). For advanced pattern matching: enable Regex mode to use regular expressions. In regex mode, you get access to the full JavaScript regex engine: capture groups — use parentheses (...) to capture matched substrings and reference them in the replacement with $1, $2, etc. (e.g., replace (\d{'{'}4{'}'})-(\d{'{'}2{'}'})-(\d{'{'}2{'}'}) with $2/$3/$1 to convert YYYY-MM-DD dates to MM/DD/YYYY format), character classes ([aeiou], \d, \w, \s), quantifiers (*+?{'{'}n,m{'}'}), word boundaries (\b prevents partial-word matches), and regex flags (g global, i case-insensitive, m multiline where ^ $ match line boundaries).
3. Review the real-time feedback as you type: the match count shows how many occurrences were found (turns red if zero matches, reassuring you the pattern is working), and the result preview below shows the transformed text with all replacements applied and changes visually highlighted. This instant feedback loop lets you iterate on your search pattern until you see exactly the matches and replacements you want. Click Copy to transfer the transformed text to your clipboard. Common use cases: reformatting CSV/TSV data, cleaning up OCR text with systematic errors, batch-renaming identifiers in configuration files, standardizing phone number or address formats, and removing or replacing sensitive information patterns (PII redaction). All processing happens in your browser — your text data, which may contain proprietary or sensitive information, never leaves your device.

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