Online Line Tools with 8 processing modes for deduplicating, sorting, filtering, merging, and splitting lines
Process lists, logs, config entries, URL inventories, and multi-line text with deduplication, sorting, numbering, prefix/suffix rules, filtering, merging, splitting, and regex per line. Everything runs locally in the browser before you store, publish, script, or batch-edit the result.
- All text processing happens locally in the browser with no server upload
- 8 processing modes: deduplicate, sort, add numbers, add prefix/suffix, filter, merge, split, regex per line
- Supports case sensitivity, per-line trimming, empty line skipping, and line ending preservation
- Side-by-side input and result preview as modes and options change
Line Tools
Process multiline text with line deduplication, sorting, numbering, prefix/suffix insertion, filtering, joining, splitting, and per-line regex replacement.
What this page can do
Eight processing modes for working with multi-line text, all handled locally in the browser.
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Deduplicate lines
Remove duplicate lines with support for case sensitivity and keeping the first or last occurrence.
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Sort lines
Sort lines alphabetically, numerically, by length, or using natural sort order in ascending or descending order.
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Add line numbers
Prepend line numbers with configurable start value, step, zero-padding, and separator.
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Add prefix and suffix
Wrap every line with a prefix, suffix, or both. Useful for adding quotes, commas, or HTML tags.
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Filter lines
Keep or remove lines that match a text pattern or regular expression.
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Merge lines
Combine all lines into a single line with a custom separator.
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Split into lines
Split whole input text into multiple lines using a separator or regex.
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Regex per line
Apply a regex find-and-replace to each line independently.
How to use this page
Paste your text, choose a processing mode, and the output updates instantly.
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Paste multi-line text into the input area.
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Select a processing mode from the mode buttons.
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Adjust mode-specific options as needed.
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Toggle general options like case sensitivity, trimming, or empty line handling.
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Copy the result, or send the output back to the input to chain another operation.
Which mode to use
Each mode fits a different text processing scenario.
- Use Deduplicate when you need to remove repeated lines from logs, lists, or CSV exports.
- Use Sort when you need to organize lines alphabetically, by length, or numerically.
- Use Add Line Numbers when preparing code listings, step-by-step instructions, or enumerated lists.
- Use Add Prefix/Suffix when you need to wrap each line with quotes, HTML tags, or CSV commas.
- Use Filter when you need to extract or remove specific lines based on a pattern.
- Use Merge when you need to combine multiple lines into a single comma-separated or formatted line.
- Use Split when you need to break a single line of comma-separated values into multiple lines.
- Use Regex Per Line when you need to transform each line independently with a regular expression.
Common use cases
Line processing appears in data preparation, code formatting, and content editing.
Log file analysis
Deduplicate repeated log entries, sort by timestamp, filter for specific error codes, or extract fields with regex per line.
List and inventory processing
Sort product lists, remove duplicates, add line numbers, or wrap each item with quotes for SQL IN clauses.
Code formatting
Add prefixes to import paths, remove duplicate import statements, or sort method signatures alphabetically.
Data extraction
Filter CSV rows by condition, split concatenated fields, or use regex per line to extract specific patterns from structured text.
SEO keyword list cleanup
Deduplicate, sort, number, and filter keyword sets before clustering and content planning.
Operations list normalization
Clean campaign lists by removing duplicates and empties, then add prefixes/suffixes for message templates.
URL and path inventory refactoring
Batch process route/path lines with filtering and prefix rules during migration tasks.
Config and env key maintenance
Sort and normalize key lists, then apply consistent wrappers for safer config updates.
Audit and reconciliation pre-processing
Prepare raw line datasets for downstream comparison tools with predictable transformations.
Support phrase library management
Deduplicate and organize reusable support phrases with numbering for team consistency.
Practical guidelines
Follow these rules to get consistent results across different text sources.
If the source text already contains extra blank lines, trailing spaces, or copy-paste whitespace noise, start with Text Cleaner to normalize the structure. When repeated terms, paths, field names, or fixed patterns need batch changes, continue with Text Replace . For variable names, headings, and list labels that need consistent casing, use Case Converter ; before publishing or submitting the result, Text Counter helps check character and byte limits. If the organized lines are really table rows, pasted exports, or values that need columns, move them into CSV Tools for preview, filtering, and export.
- Enable Trim Each Line if the input has inconsistent indentation or leading/trailing spaces that could affect deduplication or sorting.
- Enable Skip Empty Lines when empty lines in the input should not be counted or processed.
- Use natural sort for file names or mixed text-and-number content where alphabetical sorting would produce unexpected order.
- When using regex per line, test your pattern on a small sample first to verify it produces the expected result.
- Use the output-as-input action to chain multiple operations: send the current result back to the input, then apply the next processing mode.
Limitations and important notes
Knowing the boundaries helps you avoid unexpected results.
- Very large texts with thousands of lines may cause brief rendering pauses during processing.
- Deduplication removes consecutive or non-consecutive duplicates based on the current sort order.
- Regex per line uses JavaScript regular expressions. Complex patterns with lookbehind may not work in all browsers.
- The split mode splits text by a separator or regex. If the separator is not found, the entire text remains as one line.
- All processing happens locally in the browser. Nothing is uploaded to a server.
Frequently asked questions
Answers to common questions about usage, data handling, result checks, and practical limits.
01 Can I chain multiple operations?
Can I chain multiple operations?
Yes. Use the output-as-input action to move the current result back to the input area, then select a different processing mode.
02 Does deduplication remove consecutive or all duplicates?
Does deduplication remove consecutive or all duplicates?
Deduplication removes all duplicate lines across the entire text, not just consecutive ones.
03 What is natural sort order?
What is natural sort order?
Natural sort orders text and numbers the way a human would, so "item2" comes before "item10" instead of after it.
04 Does this page send my text to a server?
Does this page send my text to a server?
No. All text processing happens locally in your browser. No data is transmitted to any server.
05 Can I undo an operation?
Can I undo an operation?
You can use the output-as-input action to move the current result back to the input and reprocess it with different settings.
06 Does split mode work per line or on the whole input?
Does split mode work per line or on the whole input?
Split mode processes the whole input text as one block, then splits it into lines by separator or regex.
07 How are non-numeric lines handled in numeric sort?
How are non-numeric lines handled in numeric sort?
Numeric sort prioritizes parseable numbers and falls back to text comparison for non-numeric content to avoid unstable ordering.
08 Can filter mode use regular expressions?
Can filter mode use regular expressions?
Yes. Enable Use regex, then keep or remove lines based on regex matches.
09 Why is output blocked when regex is invalid?
Why is output blocked when regex is invalid?
The tool prevents processing on invalid regex patterns to avoid unintended output. Once fixed, output resumes immediately.
10 Is this suitable for very large text sets?
Is this suitable for very large text sets?
Yes, but very large line sets can cause short recalculation pauses. Chunk-based processing improves responsiveness.
11 Is my text uploaded to any server?
Is my text uploaded to any server?
No. All line operations run locally in your browser.
More online text tools
DevKitLab provides online tools for text counting, case conversion, text replacement, text cleanup, line processing, and more, useful for everyday editing, development, and content organization.