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Line Tools

Paste a list, log dump, URL inventory, config block, or any multi-line text and reshape it one mode at a time. DevKitLab handles dedupe, sort, line numbering, prefix/suffix wrapping, keep/remove filtering, merge into one line, split into many, and per-line regex replace — all in your browser, with side-by-side preview and a live counter of removed and modified lines.

  • Runs locally in the browser, so internal lists, draft logs, and unreleased identifiers stay on your machine
  • Eight processing modes covering dedupe, sort, numbering, prefix/suffix, filtering, merge, split, and regex per line
  • Layered options for case sensitivity, per-line trim, skipping empties, and preserving line endings
  • Side-by-side input and result with a live counter of how many lines were removed or modified
  • Send the output back as input to chain operations like a real text workflow
tools/Line Tools
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Idle — pick a mode and paste text
Line commands

Overview

A line-level toolbox built for everyday cleanup — turn unruly lists into something a script, a SQL clause, or a teammate can actually use, without leaving the page.

  1. 01

    Deduplicate with intent

    Drop repeated lines across the whole input, with optional case sensitivity for identifiers and per-line trim so trailing whitespace does not hide duplicates.

  2. 02

    Sort the way you mean it

    Sort alphabetically, numerically, by length, or with natural order — ascending or descending — so item2 lands before item10 without a custom comparator.

  3. 03

    Line numbers with control

    Add line numbers with configurable start value, step, zero-padding, and separator — useful for code listings, instructions, and audit trails.

  4. 04

    Prefix and suffix wrapping

    Wrap every line with a prefix, suffix, or both — quote-and-comma for SQL IN clauses, dash for Markdown lists, or arbitrary tokens for template assembly.

  5. 05

    Keep or remove by pattern

    Filter lines that match a string or regex; pick whether to keep or remove the matches, with a case-sensitive toggle and live regex validation.

  6. 06

    Merge and split, two-way

    Merge every line into one with a custom separator, or split a single string into many lines by separator or regex — the inverse pair for list reshaping.

  7. 07

    Per-line regex replace

    Apply a regex find-and-replace to each line independently, with capture group references like $1 and $2 in the replacement.

  8. 08

    Live counters and validation

    See input/output line counts, removed/modified counts, and invalid-regex warnings as you tweak — quick proof the rule does what you wanted.

  9. 09

    Output as input

    Pipe the current result back into the input area to chain operations: dedupe → sort → number, or filter → wrap → merge — without leaving the panel.

  10. 10

    Local-only processing

    Every operation runs in the current browser session — internal logs, redacted lists, and unreleased identifiers never reach a server.

How to use

Paste, pick a mode, set the mode-specific options, watch the live counters, and copy — every step stays inside the same panel.

  1. 01

    Paste the multi-line text you want to reshape into the input area on the left.

  2. 02

    Pick a processing mode from the mode row: dedupe, sort, add numbers, prefix/suffix, filter, merge, split, or regex per line.

  3. 03

    Set the mode-specific options that appear — sort criteria, number start/step, filter keep/remove, merge separator, split separator, or regex pattern.

  4. 04

    Layer the common options as needed: case sensitive, trim each line, skip empty lines, or preserve line endings.

  5. 05

    Watch the result preview and the removed/modified counters to confirm the rule lands where it should.

  6. 06

    Copy the result when it is ready, or hit Use output as input to chain another operation.

Details

Different list shapes need different operations. The useful mode is the one that matches both the source text and the next step you actually have to take.

  • Deduplicate first when the list might contain repeats — every later step is cheaper on a unique set.
  • Sort is best paired with deduplicate when comparing snapshots or preparing diff-friendly outputs.
  • Add numbers is a quick way to produce step-by-step instructions, audit trails, or numbered checklists.
  • Prefix / suffix is the fastest way to wrap items for SQL IN clauses, Markdown bullets, JSON arrays, or templated strings.
  • Filter is sharper than search — pick keep or remove, plain or regex, and the result is exactly the subset you wanted.
  • Merge lines is the simplest path from a list to a comma-separated string for query parameters, ENV values, or one-line configs.
  • Split lines is the inverse — turn a single CSV-like string into a clean list ready for the next operation.
  • Regex per line shines when each line needs the same surgical change — strip a prefix, swap a separator, or reshape an ID.
  • Trim each line first when indentation noise might hide duplicates or break sorting.
  • Skip empty lines is worth enabling when blank lines in the source would otherwise inflate counts or pollute the result.

Use cases

Line-level work is rarely hard because of the logic. The friction comes from juggling editors, ad-hoc scripts, and finding mistakes once the list is already downstream.

  1. Log triage and dedupe

    Drop repeated log entries, sort by timestamp, and filter for specific error codes before sharing a clean snapshot with the team.

  2. List and inventory prep

    Sort product or SKU lists, drop duplicates, and wrap each item with quotes for a SQL IN clause without writing one-off scripts.

  3. Code snippet refactor

    Add prefixes to import paths, dedupe import statements, or sort method signatures before opening a refactor PR.

  4. Data extraction

    Filter CSV rows by condition, split concatenated fields, or apply per-line regex to pull a specific pattern out of a structured log.

  5. SEO keyword cleanup

    Deduplicate, sort, number, and filter keyword sets before content planning, clustering, or competitor analysis.

  6. Campaign list normalization

    Clean newsletter or campaign lists by removing duplicates and blanks, then wrap each row with template-friendly prefixes and suffixes.

  7. URL and path inventory

    Batch-edit routes and paths during a migration — filter by prefix, wrap with templates, or rewrite with per-line regex.

  8. Config and env-key audit

    Sort and normalize key lists, wrap them with consistent prefixes, and diff against the expected set for safer deploys.

  9. Audit and reconciliation prep

    Turn raw line dumps into a deterministic shape — sorted, deduped, and numbered — before feeding into comparison or BI tools.

  10. Support phrase library

    Maintain a reusable phrase library: dedupe, sort, number, and prefix entries so the team works from a single, ordered source.

See also

If the source still carries stray whitespace, blank lines, or invisible characters, run it through Text Cleaner first. When the next step is rewriting fixed words, prefixes, or fragments rather than reshaping the list, switch over to Text Replace . For variable names, slugs, or headings that need a consistent casing, Case Converter keeps the result tidy. Before publishing or submitting, Text Counter confirms character, byte, and reading-time limits.

Best practices

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

  • Turn on Trim each line first when the source might have stray spaces; otherwise dedupe and sort will treat near-duplicates as unique.
  • Skip empty lines when blanks in the input would inflate counts or pollute the result; leave it off when blank lines carry meaning.
  • Use natural sort for filenames, version strings, or anything mixing text with numbers — alphabetical sort will surprise you.
  • Test regex on a small sample first; the removed/modified counter is the fastest correctness check before applying to the whole input.
  • Chain operations with Use output as input — for example, filter → dedupe → sort — instead of writing one giant pattern.
  • Keep a copy of the original input until the final pass; local-only processing is convenient, not a backup.
  • Pick case-sensitive matching for identifiers, env keys, and code; leave it off for casual prose to catch more variations.

Limitations

Line tools are conservative on purpose. Knowing the limits helps avoid surprises on edge cases.

  • Very large inputs combined with complex operations can briefly pause the live preview while the result recalculates; chunking the work feels smoother.
  • Deduplicate removes every duplicate across the whole input, not just consecutive ones — pair it with Sort if order matters.
  • Regex per line and filter regex use the browser’s JavaScript engine, so very new regex features may be unavailable in older environments.
  • Split mode operates on the whole input as a single block, then re-splits it; if the separator never matches, the result stays as one line.
  • Numeric sort prefers parseable numbers and falls back to text comparison for non-numeric values, so mixed lists may surface ties in stable but not always intuitive order.
  • The cleaner does not parse JSON, CSV, or other structured formats — for those, validate with a format-specific tool after reshaping.
  • All processing happens locally in the browser; nothing is uploaded.

FAQ

A few details worth knowing about modes, options, regex behavior, local processing, and practical limits.

Can I chain multiple operations?

Yes. Run the first mode, click Use output as input to move the result back into the input area, then choose another mode. Each pass is independent and reuses the same options as needed.

Does deduplicate remove consecutive duplicates only, or all of them?

It removes every duplicate across the whole input — the first occurrence wins. Pair it with Sort if you also want a deterministic order.

What is natural sort order?

Natural sort orders text and numbers the way a human would. With it, item2 comes before item10 instead of after it, which is what you want for filenames, version strings, and mixed identifiers.

How does numeric sort handle non-numeric lines?

It prioritizes parseable numbers and falls back to text comparison for non-numeric values, so mixed inputs stay stable instead of throwing errors.

Can filter mode use regular expressions?

Yes. Toggle Use regex inside Filter and the pattern field is interpreted as a regex. The keep/remove switch then decides what to do with matches.

Why is the output blocked when my regex is invalid?

When the regex fails to compile, the tool stops the result and shows an invalid-regex warning. Fixing the syntax restores the live preview immediately.

Does split mode work per line or on the whole input?

Split treats the input as one block, joins it with newlines internally, then splits by your separator or regex. That way commas, semicolons, or arbitrary tokens become line breaks regardless of where they sit in the source.

How are the removed and modified counters computed?

Removed counts lines dropped by the active mode (dedupe duplicates, filter rejections, merge collapses). Modified counts lines whose content changed — sort reordering, number prefixes, regex replacements, and similar edits.

Does this page send my text to a server?

No. Processing, regex validation, and counting all run in your current browser session — nothing is uploaded.

Is it suitable for very large inputs?

Typical lists and logs process in real time. Very large inputs combined with complex regex may briefly pause the preview; chunking the work usually feels smoother.

Is it safe for private logs or internal lists?

Yes. Processing is local, so redacted logs, internal lists, and unreleased identifiers stay on your device. Clear the panel when you are done if the source was sensitive.

Related tools

Continue with whitespace cleanup, bulk replacement, casing fixes, or length checks without leaving the text tools collection.