About The Text Replacer

This free online Text Replacer finds and replaces words, phrases, or JavaScript regular expression matches directly in your browser. It is useful for cleaning drafts, normalizing labels, redacting sample values, updating support replies, and preparing copied text for another workflow.

Literal replacement treats the Find value as plain text. Regex mode treats the Find value as a JavaScript regular expression and supports capture-group replacements such as $1 when the browser regex engine supports them.

How to Replace Text Online

1. Paste source text into Input text.
2. Enter the text or pattern to search for in Find.
3. Enter the replacement value in Replace with.
4. Choose whether to replace all matches, match case exactly, or treat the find value as regex.
5. Click Replace and review the output before copying it.

Choosing Options Correctly

Replace all matches:
- Leave it ON for most cleanup tasks.
- Turn it OFF when only the first matching item should change.

Case sensitive:
- Leave it OFF to match words regardless of capitalization.
- Turn it ON when Draft and draft should be treated differently.

Treat "Find" value as regex pattern:
- Leave it OFF for plain find-and-replace work.
- Turn it ON for pattern-based cleanup such as replacing ticket IDs, dates, or repeated whitespace.

Common Use Cases

• Replace repeated labels or product names in copied text.
• Redact sample order IDs, ticket IDs, emails, or phone numbers before sharing snippets.
• Normalize whitespace, prefixes, or inconsistent terminology.
• Test a regex replacement before using it in code or an editor.

Quick FAQ

Is my text uploaded?
No. Replacement is designed to run in the browser.

Should I use regex mode for normal words?
No. Use plain replacement unless you intentionally need regex patterns, groups, or flags.

Why did $1 change in regex mode?
$1 and similar tokens can refer to capture groups in replacement text. Escape or avoid them when you want literal text.

What should I avoid pasting?
Avoid sensitive credentials, private documents, or customer data when using general-purpose text tools.