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Text Replace

Paste a draft, snippet, log line, or config block and rewrite the parts that need to change. DevKitLab matches plain text or regular expressions in your browser, with case sensitivity, replace-all behavior, multiline and dot-all flags, capture group references, and a live match count — so content edits, code refactors, and data cleanup never leave your device.

  • Runs locally in the browser, so logs, drafts, and internal snippets stay on your machine
  • Switches between plain text and regex modes without losing the input or replacement values
  • Surfaces invalid regex syntax inline before the result is rewritten, with a live match count next to the controls
  • Ships built-in templates for whitespace, blank lines, emails, URLs, numbers, and HTML tags to start regex work quickly
  • Reuses the output as input with one click, so chained replacements feel like a real pipeline
tools/Text Replace
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Idle — enter a pattern
Replace commands

Overview

A replace panel built for everyday edits — fix copy, refactor identifiers, redact sensitive fields, or normalize whitespace without leaving the page or wiring up a separate script.

  1. 01

    Plain text and regex side by side

    Switch between literal find-and-replace and full JavaScript regular expressions without retyping the input, replacement, or options you already set.

  2. 02

    Inline regex validation

    Syntax errors are surfaced under the find field before the result is rewritten, so an invalid pattern never silently produces an empty output.

  3. 03

    Capture groups for restructuring

    Reference matched fragments with $1, $2, … in the replacement to reshape names, dates, IDs, or log fields instead of just swapping fixed text.

  4. 04

    Match options that match real rules

    Toggle case sensitivity, replace-all behavior, multiline anchors, and dot-all to handle line-based logs, multi-paragraph snippets, or strict identifier rewrites.

  5. 05

    Live match counter

    See how many places the current rule touches before copying — quick proof that a regex hits what you expected and nothing else.

  6. 06

    Built-in regex starters

    Templates for whitespace, blank lines, emails, URLs, numbers, and HTML tags drop a working pattern straight into the find field.

  7. 07

    Output as input

    Pipe the current result back into the input area to chain replacements — useful for staged refactors, multi-step cleanup, and log normalization.

  8. 08

    Local-only processing

    Find, replace, regex validation, and match counting all run in the current browser session. Internal text, redacted data, and unreleased copy never reach a server.

How to use

Paste, set a rule, preview the matches, and copy — everything happens inside the same panel.

  1. 01

    Paste or type the text you want to rewrite into the input area on the left.

  2. 02

    Enter the search value in the find field and the replacement text in the replace field.

  3. 03

    Pick plain text or regex from the command bar; in regex mode, capture groups can be referenced as $1, $2, and so on.

  4. 04

    Toggle case sensitivity, replace-all, multiline, or dot-all to match how the source text is structured.

  5. 05

    Watch the live match counter to confirm the rule lands where it should, then copy the output when it is ready.

Details

Different rules suit different sources. The useful mode is the one that matches both the text shape and the level of risk you accept.

  • Plain text is the safe default for fixed words, product names, prefixes, and one-off typo cleanup.
  • Regex shines for patterned matches — emails, IDs, log fields, repeated whitespace, or content that varies in small ways.
  • Case sensitivity is worth enabling for proper nouns, environment keys, and code identifiers where letter case carries meaning.
  • Replace-all is on by default; turn it off to surgically fix the first occurrence of a repeated issue.
  • Multiline switches ^ and $ to match each line boundary — handy for logs, CSV columns, and Markdown headings.
  • Dot-all lets . span line breaks, useful for replacing blocks of HTML, JSON, or multi-line comments.
  • Capture groups make the replacement field a small reshaping tool, not just a swap target.
  • The match counter is a quick sanity check before copying — zero matches usually means the pattern needs another pass.

Use cases

Find-and-replace is rarely hard because of the math. The friction comes from switching tools, leaking sensitive data, and finding mistakes only after publish.

  1. Content editing and proofreading

    Fix typos, outdated names, inconsistent terminology, and brand references across articles, docs, emails, and marketing pages in one pass.

  2. Code refactoring snippets

    Rename variables, update import paths, and adjust API call shapes across pasted code blocks with regex and capture groups.

  3. Log cleanup and triage

    Strip timestamps, mask IDs, normalize separators, or unify timestamp formats so noisy log dumps become readable diffs.

  4. Whitespace normalization

    Collapse runs of spaces, trim trailing whitespace, remove blank lines, and convert indentation styles before pushing text further.

  5. SEO and metadata updates

    Sweep outdated brand terms, campaign slugs, and placeholders across landing-page copy, meta descriptions, and OpenGraph blocks.

  6. Support macros and templates

    Refresh announcement templates, FAQ blocks, and reply macros with consistent wording before they ship into the helpdesk.

  7. Sensitive data masking

    Redact emails, phone numbers, tokens, IPs, and order IDs with regex before sharing logs, bug reports, or screen recordings.

  8. Pre-import data cleaning

    Normalize separators, fix encodings, and strip noise from CSV or TSV exports before loading them into a database or pipeline.

  9. Translation key migration

    Rename i18n keys, prefixes, and namespaces across locale files when reorganizing translation hierarchies.

  10. Log format unification

    Merge mixed-source logs by aligning timestamp formats, field separators, and severity tags into a single shape ready for grep or jq.

See also

Before running a broad replacement, smooth the source first with Text Cleaner to deal with stray whitespace, blank lines, and invisible characters; once the replacement produces variable names, slugs, or headings, Case Converter keeps casing consistent across identifiers and copy. Before publishing or submitting, Text Counter confirms character, byte, and reading-time limits. When the result is a list, log, or any line-based dataset, Line Tools is a better fit for dedupe, sorting, numbering, and splitting. To verify a regex rule actually lands on the expected positions before running it here, open Regex Tester to inspect matches, capture groups, and replacement previews.

Best practices

Replacement is precise when the rule is precise. A small habit — preview, count, copy — saves a lot of cleanup later.

  • Test new regex against a representative sample first; the live match counter is a one-glance correctness check.
  • Prefer capture groups over chained replacements when you need to swap or rearrange fragments — fewer passes, less drift.
  • Keep case sensitivity off for casual prose, on for code identifiers, env keys, and anything where letter case is significant.
  • When the rule could match too much, disable replace-all and step through one match at a time using the input.
  • Use the output-as-input action to chain replacements, but keep the original input on the clipboard until the final pass.
  • When working with multi-line blocks, decide whether you need multiline anchors, dot-all, or both before writing the pattern.
  • For sensitive data, run the redaction rule, copy the result, then clear the panel — local-only processing does not mean local-only memory.

Limitations

Replacement is precise, but it is not a parser. Knowing the boundaries helps avoid surprises when patterns get adventurous.

  • Regex mode uses the browser’s JavaScript engine, so very new features (such as some lookbehind variants) may be unavailable in older environments.
  • Very large inputs combined with complex patterns can briefly pause the live preview while the result recalculates — chunking text often feels smoother.
  • Case sensitivity, multiline, and dot-all flags affect both plain text and regex modes, but multiline and dot-all only have practical effect on patterns that use ^, $, or ..
  • Replace-all is enabled by default; turn it off when only the first match should change.
  • The tool does not parse HTML, JSON, or markup — for structured edits, validate the result with the matching format-specific tool afterwards.
  • No spell-checking, grammar review, or language detection runs alongside the replacement — that work belongs to other tools.

FAQ

A few details worth knowing about plain text and regex modes, capture groups, multiline behavior, local processing, and practical limits.

What is the difference between plain text and regex mode?

Plain text mode matches the exact characters you type, after escaping special regex symbols internally. Regex mode interprets the find field as a JavaScript regular expression, so metacharacters, character classes, and capture groups all apply.

How do I reference captured groups in the replacement?

In regex mode, use $1, $2, and so on to refer to capture groups from the find pattern. For example, finding (\w+)-(\d+) and replacing with $1_$2 turns order-123 into order_123.

What does multiline mode actually change?

Without multiline, ^ and $ match the very start and end of the whole input. With multiline on, they match the start and end of each line, which is what you want for logs, CSV rows, and Markdown.

When should I enable dot all?

Enable it when your pattern needs the dot to also match line breaks — for example, matching multi-line HTML blocks, comment sections, or paragraphs that span several lines.

Does this page send my text to a server?

No. Searching, replacing, regex validation, and match counting all run in your current browser session. Nothing is uploaded.

How do I chain multiple replacements?

Run the first rule, click Use output as input to move the result back into the input area, change the find and replace fields, and run the next rule. Repeat as needed.

What regex templates are available?

Built-in templates cover multiple spaces, empty lines, email addresses, URLs, numbers, HTML tags, leading whitespace, and trailing whitespace. Picking a template fills the find field and switches the tool into regex mode.

Do case sensitivity and replace-all work in plain text mode?

Yes. Plain text input is escaped into a safe regex internally, so case-sensitive matching and replace-all behavior apply the same way they do in regex mode.

Why is the output empty when my regex is invalid?

When the pattern fails to compile, the replacement is blocked and an error message appears under the find field. Fixing the syntax restores the live preview immediately.

How is the match counter computed?

It compiles the current rule with the global flag and counts the matches in the input. Capturing groups and alternation are respected the same way a regex engine would.

Is it suitable for very large texts?

Typical documents and code snippets handle in real time. Very large inputs combined with complex patterns may briefly pause while the result recalculates; chunking the text usually feels smoother.

Is it safe for private drafts or sensitive snippets?

Yes. Processing is local, so redaction rules, internal copy, and unreleased identifiers stay on your device. Clear the panel when you are done if the source text was sensitive.

Related tools

Continue with whitespace cleanup, casing fixes, length checks, or line-level processing without leaving the text tools collection.