Free Find and Replace Online

Swap Every Occurrence of a Word or Pattern Without Opening an App

A browser-based find and replace tool lets you locate every instance of a word, phrase, or pattern inside a block of text and swap it for something else, one match at a time or all at once, without installing an editor or pasting the text into a document first. Type what you're looking for, type what should replace it, and every match highlights instantly so you can see exactly what's about to change before you commit to it.

This kind of editing comes up constantly outside of any single application: correcting a name that was misspelled throughout a pasted document, updating a URL that appears dozens of times in a config snippet, or standardizing terminology across a block of text that was written by several people. A dedicated find and replace tool handles all of that in the browser, and because the text you're working with often includes things you'd rather not paste into a random third-party site, it's worth knowing exactly how much of it stays on your own device.

How the Tool Finds and Replaces Text

The interface centers on two fields and a small set of toggles that change what counts as a match:

• Find field. Type the text or pattern you're searching for; every match in the text below is highlighted live as you type, with the currently selected match marked distinctly from the rest.
• Replace field. Type what should take the matched text's place.
• Case sensitive. Off by default, so "Report" and "report" both match; switch it on when the casing itself needs to be respected.
• Whole word. Restricts matches to complete words, so searching for "cat" won't also match the "cat" inside "category" or "concatenate."
• Regex. Switches the find field from a literal string search to a full regular expression, letting you match patterns rather than fixed text — digits, optional characters, alternatives, and everything else JavaScript's regular expression syntax supports.

A match counter shows how many total matches were found and which one is currently selected, with next and previous buttons to step through them one at a time. From there, Replace swaps just the currently selected match, while Replace All swaps every match in the text in a single action. The text area below updates live, and a running word and character count sits underneath it so you can confirm the scope of what you're editing at a glance.

When Browser-Based Find and Replace Beats the Alternative

A few recurring scenarios are where reaching for this tool over anything else makes sense:

• Correcting a repeated typo or wrong name across a document that was pasted in from somewhere else, without needing to open the original file in whatever software created it.
• Sanitizing pasted data before sharing it — swapping real names, internal hostnames, or account numbers in a support ticket or log excerpt for placeholder values before sending it somewhere else.
• Updating a repeated value in a config snippet or script, such as a version number, environment variable name, or API endpoint that shows up several times in a block of text you're about to paste elsewhere.
• Cleaning up text pulled from a PDF or scanned document, where OCR or copy-paste sometimes introduces consistent artifacts — a specific mis-rendered character or spacing pattern — that need correcting throughout.
• Reformatting terminology across a shared document before publishing it, ensuring a product name, brand term, or spelling convention is applied consistently everywhere it appears.

Regex Mode, Whole Word Matching, and What's Actually Happening Underneath

When regex mode is off, whatever you type in the find field is treated as a literal string — special characters like periods and parentheses are escaped automatically so they're matched exactly as typed rather than interpreted as pattern syntax. Turning on whole word wraps that literal string in a word-boundary check, so the match only counts when it isn't glued to another letter or digit on either side.

Switching on regex hands your input directly to JavaScript's native regular expression engine, unescaped. That opens up everything a standard regex supports: character classes, quantifiers, alternation, capture groups, and anchors — useful when you need to match a pattern rather than one fixed string, like any sequence of digits, an optional prefix, or one of several possible words in the same pass. Because this runs in the browser using the same engine that powers JavaScript everywhere else, a pattern that works here should behave the same way in a Node.js script, though it's still worth double-checking against languages with a different regex flavor, like Python or PHP, before reusing a pattern there directly.

Mode	What it matches	Example
Literal (regex off)	The exact text typed, special characters treated as plain characters	Finds every "v1.2" as those literal characters
Whole word	Literal text, but only at word boundaries	"cat" matches "cat" but not "category"
Regex	Any pattern valid in JavaScript's RegExp syntax	"\d{3}-\d{4}" matches any phone-number-shaped sequence

One honest limitation worth flagging directly: this regex capability is a feature of the browser tool only. If you're using the API version of this tool instead of the page you're reading right now, replacement there is literal find-and-replace exclusively — no regular expression matching is available through the API. That's a deliberate decision rather than an oversight: accepting arbitrary regular expressions from API requests opens the door to patterns that are computationally expensive to evaluate against large or adversarial input, so regex support was left out of the API surface specifically for safety, while the browser tool keeps it since anything typed there only ever runs against your own pasted text on your own device.

Two Worked Examples: Literal Text vs. a Pattern

Say a paragraph refers to a product by an old name — "Acme Toolkit" — in six separate places, and the name has since changed. With regex off, typing "Acme Toolkit" into the find field and the new name into the replace field, then clicking Replace All, swaps all six instances in one step, leaving every other word in the paragraph untouched. That's the everyday case, and it's exactly what most find-and-replace tasks actually need: one fixed string swapped for another, everywhere it occurs.

Now say the text instead contains several dates written inconsistently — "03/14/2024," "3-14-2024," "03.14.2024" — and every one of them needs to become a single consistent format. No literal string covers all three variants at once, but a regex pattern like \d{1,2}[/.-]\d{1,2}[/.-]\d{4} matches all of them in a single pass, regardless of which separator character each one happens to use. That's the kind of job regex mode is actually for: not replacing one exact phrase, but matching a shape that several different literal strings share.

Whole word matching solves a narrower but equally common problem. Searching for "run" without it enabled would also match the "run" hidden inside "running" or "overrun" — turning it on restricts the match to the standalone word only, which matters when the goal is correcting one specific word without accidentally mangling every longer word that happens to contain it.

Other Ways to Find and Replace Text

Depending on where your text already lives, a few other approaches solve the same problem:

• Your word processor or code editor's built-in find and replace. Fast when the text is already open as a file there, and most support at least basic pattern matching alongside plain text.
• Command-line tools like sed and awk. The natural choice when replacements need to run across many files or as part of an automated script rather than on text you're pasting by hand.
• IDE project-wide search and replace. When the same string needs changing across an entire codebase rather than a single pasted block, a code editor's multi-file replace is the more appropriate tool.
• The API. For replacements that need to happen automatically as part of a larger pipeline — templating a document, sanitizing incoming text, batch-processing user submissions — this same literal find-and-replace logic is exposed as a metered endpoint; see the API documentation for the exact request format, parameters, and credit cost.

A Meaningful Privacy Detail If You're Pasting Sensitive Text

Every match, highlight, and replacement described above happens locally in your browser tab using JavaScript running on your own device — the text in the input box is never uploaded, transmitted, or stored on any server. That matters more here than in a lot of text tools, because find and replace is so often used on exactly the kind of content people are careful about: a support ticket with a customer's real details, an internal document with hostnames and credentials-adjacent strings, or a draft containing information that hasn't been made public yet. Because nothing leaves your browser tab, pasting that kind of text in to make a bulk correction doesn't create a copy of it anywhere else.

Does turning off case sensitivity affect the replacement text too?

No — case sensitivity only controls how matches are found. Whatever you type into the replace field is inserted exactly as typed, regardless of the casing of the text it's replacing.

What happens if my regex pattern is invalid?

Matching simply stops producing results rather than crashing the page — an invalid pattern is caught quietly, so you can keep adjusting it until it's valid without losing your place in the text.

Can I replace only some matches and leave others untouched?

Yes — use the next and previous buttons to select a specific match, then click Replace to swap just that one instance, repeating as needed instead of using Replace All.

Why doesn't the API support regular expressions the way the browser tool does?

It's an intentional safety boundary. Arbitrary regex patterns submitted to a server can be crafted to run in a way that consumes excessive processing time, so the API accepts literal find-and-replace only, while the richer regex mode stays available in the browser tool where it only ever runs against your own local input.

Does whole word matching work with regex mode turned on?

No — whole word is a modifier applied to literal text matching. Once regex mode is on, word boundaries need to be written directly into the pattern itself using standard regex syntax if that behavior is needed.

Is there a limit on how much text I can search through?

There's no artificial limit built into the tool; since everything runs locally in your browser, the practical ceiling is your device's available memory rather than any server-imposed restriction.

Related Tools for Cleaning Up Text

Find and replace often pairs with a few other steps. Whitespace Visualizer is worth running first if a replacement isn't matching the way you expect, since it reveals hidden spaces, tabs, and line endings that a plain-text search can miss. Duplicate Line Remover handles the separate job of collapsing repeated lines rather than swapping specific text within them. String Escape/Unescape is useful before pasting text that includes escape sequences you need normalized first. And Text Diff Checker confirms exactly what changed once a bulk replacement is complete.