FreeKit is a collection of free online tools for developers, SEO professionals, designers, students, content creators, and everyday users.

Are all tools completely free?

Yes. Every tool on FreeKit is free to use without subscriptions or hidden charges.

Do I need to create an account?

No. You can use all tools instantly without creating an account.

No. Most tools process data locally in your browser, and we do not permanently store your inputs.

Can I use FreeKit on mobile devices?

Yes. Every tool is fully responsive and works on smartphones, tablets, laptops, and desktop computers.

How often are new tools added?

We regularly add new tools and improve existing ones based on user feedback and industry needs.

Which browsers are supported?

FreeKit supports all modern browsers, including Chrome, Edge, Firefox, Safari, and other Chromium-based browsers.

Can I share these tools with others?

Absolutely. You are welcome to share FreeKit with friends, colleagues, students, and your team.

What is the difference between plain text and regex replacement?

Plain text replacement searches for an exact literal string match and replaces it. Regex (regular expression) replacement uses a pattern-matching language that lets you search for text patterns rather than exact strings. For example, the regex pattern \d+ matches any sequence of digits, so you can find and replace all phone numbers, dates, or numeric values without knowing them in advance. Regex also supports special constructs like character classes, quantifiers, anchors, and capture groups for powerful text manipulation.

How does case sensitivity affect find and replace?

When case sensitivity is enabled (the default for plain text), the search only matches text with the exact same letter casing. For example, searching for "hello" will not match "Hello" or "HELLO". When case sensitivity is disabled, the search ignores letter casing entirely and matches "hello", "Hello", "HELLO", and any other casing variation. This is useful when you want to replace words regardless of how they are capitalized throughout your text.

What does "whole word" matching mean?

Whole word matching ensures that the search term is only matched when it appears as a complete word, not as part of a larger word. For example, searching for "cat" with whole word matching enabled will match "the cat sat" but will not match "category", "concatenate", or "scattered". Internally, this wraps the search pattern with word boundary markers (\b) so it only matches at word boundaries. Disable this option if you want to find the search term even when it appears within other words.

What are backreferences in regex replacement?

Backreferences let you reuse parts of the matched text in your replacement string. When you use parentheses in a regex pattern, they create capture groups. You can reference the first captured group with $1, the second with $2, and so on. For example, the pattern (\w+)@(\w+)\.(\w+) captures the username, domain, and TLD of an email address separately. You could then use the replacement string $2@$1.com to swap the username and domain. This makes regex replacement extremely powerful for restructuring text patterns.

What are some common regex patterns for find and replace?

Here are widely used regex patterns: \[\\d+\\] matches one or more digits; \[\\s+\\] matches one or more whitespace characters; \[^\\n\\]*$ matches trailing spaces on a line; \[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}\\] matches email addresses; \[\\d{1,3}\\.\\d{1,3}\\.\\d{1,3}\\.\\d{1,3}\\] matches IPv4 addresses; and \[\\bhttps?://[^\\s]+\\] matches URLs. You can use these patterns with the regex toggle enabled to quickly find and replace common text structures.

How does batch replacement work?

Batch replacement lets you define multiple find-and-replace pairs that are applied sequentially to your text. The first replacement is performed on the original text, the second replacement is performed on the result of the first, and so on. This means the order of your replacement rows matters. For example, if Row 1 replaces "cat" with "dog" and Row 2 replaces "dog" with "pet", the final result will have "pet" wherever "cat" originally appeared. Each row can also have its own case sensitivity setting, giving you fine-grained control over each replacement operation.

Can I undo a replacement?

Yes, the tool provides an "Undo Last" button that reverts the output back to the previous state before the most recent replacement was applied. This works for both single and batch replacements. However, the undo only remembers one step back, so if you perform multiple replacements and want to undo them all, you should use the "Reset" button instead. The Reset button clears all output and restores the original input text, allowing you to start over.

Is my text secure when using this tool?

Absolutely. All text processing happens entirely in your browser using client-side JavaScript. Your text is never sent to any server, stored in a database, or transmitted over the internet. This means you can safely process sensitive content such as passwords, API keys, personal data, confidential documents, and proprietary code without any privacy concerns. The tool works completely offline once the page is loaded.

What happens if my regex pattern is invalid?

If you enter an invalid regular expression pattern, the tool will display a clear red error message below the search input explaining that the pattern is invalid. The replacement will not be executed, so your text remains unchanged. Common regex errors include unescaped special characters (like an unmatched opening parenthesis), invalid quantifiers (like *?+ at the start of a pattern), and malformed character classes. Fix the pattern and try again — the error message will disappear once the regex becomes valid.

Can I use this tool to clean up messy text data?

Yes, this tool is excellent for text cleaning tasks. You can remove extra whitespace by searching for \[\\s+\\] and replacing with a single space. You can remove trailing whitespace from lines by searching for \[ \[\\t\\]+$\\] and replacing with nothing. You can standardize line endings, remove duplicate spaces, strip HTML tags with a regex pattern, normalize date formats, and much more. The batch replacement feature is especially useful for cleaning tasks because you can chain multiple cleanup operations together in a single pass.

Text Replacer

Find and replace text with regex support and batch processing.

IntermediateText ToolsFreev1.0.0Updated Jun 14, 2025

Input Text0 chars

Replacement Mode

Batch

Find / Search

Replace With

Case Sensitive

Whole Word

Use Regex

Output0 chars

100% Private — Your Text Never Leaves Your Browser

All find and replace operations are performed entirely in your browser using client-side JavaScript. No data is sent to any server, stored, or tracked.

How to Use the Text Replacer

Paste or type your text — Enter any text in the large input textarea. You can paste content from documents, code files, logs, or any other source.
Enter your search term — Type the text or regex pattern you want to find in the Find input field. Enable the "Use Regex" toggle if you need pattern-based matching.
Enter your replacement — Type the replacement text in the Replace input field. For regex mode, you can use $1, $2, etc. for backreferences.
Configure options — Toggle Case Sensitive, Whole Word, or Regex mode as needed. Invalid regex patterns will show a red error message.
Click Replace All or Replace First — Replace All changes every match, while Replace First changes only the first occurrence. For multiple replacements, switch to Batch mode.
Copy the result — Use the Copy Output button to copy the final text, or use Undo Last to revert the previous replacement.

Features

Plain text and regex (regular expression) search support
Case-sensitive and case-insensitive matching toggle
Whole word matching to avoid partial word replacements
Replace All and Replace First modes for precise control
Batch replacement with multiple find/replace pairs processed sequentially
Each batch row has its own case sensitivity setting
Regex validation with clear error messages for invalid patterns
Backreference support ($1, $2, etc.) in regex replacement strings
Undo Last button to revert the most recent replacement
Match count and replacement count statistics displayed in real time
Add and remove batch rows dynamically for flexible workflows
100% client-side processing — your text never leaves your browser

Understanding Find and Replace

Plain Text vs Regex

Plain text search looks for an exact string match — every character must match literally. Regex (regular expressions) uses a pattern language where special characters like ., *, +, ?, d, w, and [] define flexible match rules. For example, d{3}-d{4} can match any phone number pattern in the format 123-4567, without knowing the actual digits.

Case Sensitivity & Whole Word

Case sensitivity determines whether 'hello' matches 'Hello' or 'HELLO'. When disabled, the search ignores all letter casing. Whole word matching adds word boundary checks () so that searching for 'cat' won't accidentally match inside 'category' or 'concatenate'. These options can be combined for precise text targeting.

Backreferences in Replacement

Backreferences ($1, $2, etc.) let you reuse captured portions of the match in the replacement. For example, with the pattern (Mr\.?|Mrs\.?) (\w+), you can reformat names by using $2 $1 to swap first and last names. This is essential for restructuring data formats like dates, names, and URLs.

Sequential Batch Processing

Batch replacement applies your find/replace rules one after another in order. The output of the first rule becomes the input for the second, and so on. This means you can chain operations: first fix one pattern, then clean up the result with another pattern. The order of your batch rows directly affects the final output.

Common Use Cases

Code Refactoring

Rename variables, update import paths, or change function names across multiple files. Use regex to match patterns like oldNamespace.newMethod and replace with updatedNamespace.updatedMethod.

Data Cleaning

Remove extra whitespace, standardize date formats, strip HTML tags, normalize phone numbers, or fix inconsistent separators in CSV and log files using batch replacement rules.

Content Editing

Fix consistent typos across a document, update brand names or product names, change terminology, or replace outdated terminology with current language throughout your content.

Log File Analysis

Redact sensitive information like IP addresses, emails, or API keys from log files before sharing. Use regex patterns to match and mask private data patterns.

Localization & Translation Prep

Replace hardcoded strings with translation function calls, wrap text in i18n placeholders, or convert string formats between different localization systems.

URL & Link Management

Update domain names in bulk, convert relative URLs to absolute URLs, change HTTP to HTTPS, or rewrite path structures across HTML or markdown content.

Format Conversion

Convert between data formats like JSON key naming conventions (camelCase to snake_case), restructure configuration files, or transform tabular data between different delimiter formats.

Template Processing

Fill in template placeholders with actual values, replace environment variable references, or process tokenized content in one batch operation with multiple replacement rules.

Text Replacement Tips

After replacing text, use Word Counter to verify the word and character count of your updated content and ensure the replacements didn't unexpectedly change text length.
Combine find and replace with Case Converter for powerful text transformations — first replace specific words, then convert the entire text to the desired case format.
If your replacement introduces duplicate lines, follow up with Remove Duplicate Lines tool to clean up the output and ensure each line is unique.
Use Diff Checker to compare the original and replaced text side by side. This helps you verify exactly what changed and catch any unintended replacements.
When using regex, test complex patterns on a small sample first. Enable and disable the Whole Word toggle to see how it affects your match results before running on the full text.
For batch replacements, order your rules from most specific to most general. This prevents a general rule from modifying text that a later, more specific rule should handle differently.
Use the Undo Last button frequently when building complex batch rules. It lets you experiment with different replacement patterns without losing your previous results.
To remove text entirely, leave the Replace field empty. This is useful for stripping unwanted characters, tags, or formatting from your text in a single operation.

Frequently Asked Questions

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How to Use the Text Replacer

Paste or type your text — Enter any text in the large input textarea. You can paste content from documents, code files, logs, or any other source.

Enter your search term — Type the text or regex pattern you want to find in the Find input field. Enable the "Use Regex" toggle if you need pattern-based matching.

Enter your replacement — Type the replacement text in the Replace input field. For regex mode, you can use $1, $2, etc. for backreferences.

Configure options — Toggle Case Sensitive, Whole Word, or Regex mode as needed. Invalid regex patterns will show a red error message.

Click Replace All or Replace First — Replace All changes every match, while Replace First changes only the first occurrence. For multiple replacements, switch to Batch mode.

Copy the result — Use the Copy Output button to copy the final text, or use Undo Last to revert the previous replacement.

Features

Plain text and regex (regular expression) search support

Case-sensitive and case-insensitive matching toggle

Whole word matching to avoid partial word replacements

Replace All and Replace First modes for precise control

Batch replacement with multiple find/replace pairs processed sequentially

Each batch row has its own case sensitivity setting

Regex validation with clear error messages for invalid patterns

Backreference support ($1, $2, etc.) in regex replacement strings

Undo Last button to revert the most recent replacement

Match count and replacement count statistics displayed in real time

Add and remove batch rows dynamically for flexible workflows

100% client-side processing — your text never leaves your browser

Understanding Find and Replace

Plain Text vs Regex

Case Sensitivity & Whole Word

Backreferences in Replacement

Sequential Batch Processing

Common Use Cases

Code Refactoring

Rename variables, update import paths, or change function names across multiple files. Use regex to match patterns like oldNamespace.newMethod and replace with updatedNamespace.updatedMethod.

Data Cleaning

Remove extra whitespace, standardize date formats, strip HTML tags, normalize phone numbers, or fix inconsistent separators in CSV and log files using batch replacement rules.

Content Editing

Fix consistent typos across a document, update brand names or product names, change terminology, or replace outdated terminology with current language throughout your content.

Log File Analysis

Redact sensitive information like IP addresses, emails, or API keys from log files before sharing. Use regex patterns to match and mask private data patterns.

Localization & Translation Prep

Replace hardcoded strings with translation function calls, wrap text in i18n placeholders, or convert string formats between different localization systems.

URL & Link Management

Update domain names in bulk, convert relative URLs to absolute URLs, change HTTP to HTTPS, or rewrite path structures across HTML or markdown content.

Format Conversion

Convert between data formats like JSON key naming conventions (camelCase to snake_case), restructure configuration files, or transform tabular data between different delimiter formats.

Template Processing

Fill in template placeholders with actual values, replace environment variable references, or process tokenized content in one batch operation with multiple replacement rules.

Text Replacement Tips

After replacing text, use Word Counter to verify the word and character count of your updated content and ensure the replacements didn't unexpectedly change text length.

Combine find and replace with Case Converter for powerful text transformations — first replace specific words, then convert the entire text to the desired case format.

If your replacement introduces duplicate lines, follow up with Remove Duplicate Lines tool to clean up the output and ensure each line is unique.

Use Diff Checker to compare the original and replaced text side by side. This helps you verify exactly what changed and catch any unintended replacements.

When using regex, test complex patterns on a small sample first. Enable and disable the Whole Word toggle to see how it affects your match results before running on the full text.

For batch replacements, order your rules from most specific to most general. This prevents a general rule from modifying text that a later, more specific rule should handle differently.

Use the Undo Last button frequently when building complex batch rules. It lets you experiment with different replacement patterns without losing your previous results.

To remove text entirely, leave the Replace field empty. This is useful for stripping unwanted characters, tags, or formatting from your text in a single operation.

Frequently Asked Questions