Online Text Cleaner for empty lines, edge trimming, and trailing whitespace

Clean pasted text, log fragments, code blocks, and draft copy directly in the browser. Remove all empty lines, collapse repeated blank lines, trim only the edges, strip trailing spaces, and preserve line endings before you copy, publish, store, or transform the text further.

  • All text processing happens locally in the browser with no server upload
  • Three cleaning modes: remove all, collapse multiple, or trim only edges
  • Optional per-line trim, trailing space removal, and line ending preservation
  • Side-by-side input and output with an instant result preview

Text Cleaner

Clean extra blank lines, repeated blank lines, leading and trailing whitespace, and trailing spaces from pasted text, logs, and drafts.

Text Cleaner
0 lines
0 lines
Cleaning commands
Cleaning mode
Common options

What this page can do

Three cleaning modes with practical options for different text cleanup scenarios.

  • Remove all empty lines

    Deletes every blank line in the text. Useful when you want to compact log output, reformat pasted content, or strip unnecessary vertical space.

  • Collapse consecutive empty lines

    Replaces multiple blank lines with a single one. Keeps paragraph separation intact while removing excessive spacing.

  • Trim leading and trailing empty lines

    Removes empty lines only at the beginning and end of the text. Interior spacing stays exactly as written.

  • Per-line trimming

    Strips leading and trailing whitespace from every line before the empty-line mode is applied. Helps normalize irregular indentation.

  • Trailing space removal

    Removes spaces and tabs at the end of each line. Useful before committing code or preparing text for strict formatters.

  • Instant preview

    Input and output stay side by side, and the result refreshes as soon as the mode or options change.

How to use this page

Paste your text, pick a cleaning mode, and the output updates instantly.

  1. 1

    Paste your text into the input area.

  2. 2

    Choose a cleaning mode: remove all empty lines, collapse consecutive ones, or trim only the edges.

  3. 3

    Toggle additional options if you need per-line trimming, trailing space removal, or line ending preservation.

  4. 4

    Compare input and output to confirm paragraph spacing, indentation, and trailing whitespace are correct.

  5. 5

    Copy the result to your clipboard or download it as a .txt file.

Which mode to use

Each mode fits a different cleanup scenario.

  • Use Remove All when you want the most compact output, such as after pasting from a rich text source with many blank lines.
  • Use Collapse when you need to reduce spacing while keeping paragraph structure visible.
  • Use Trim Edges when the excess whitespace is only at the top or bottom of the text, such as after copying from a code block with leading blank lines.
  • Turn on Trim Each Line if the lines have inconsistent indentation or leading/trailing spaces that you want to normalize.
  • Turn on Remove Trailing Spaces if you are preparing text for a linter, a code review, or a system that rejects trailing whitespace.

Common use cases

Empty line cleanup appears in everyday writing, code formatting, and data preparation.

Log file cleanup

Remove blank lines from log output to make the content easier to scan or feed into analysis tools.

Code formatting

Normalize spacing in source files before committing, especially when dealing with inconsistent formatting from multiple contributors.

Rich text conversion

Clean up text pasted from emails, documents, or web pages that often carries extra blank lines.

Data preparation

Strip empty lines from CSV exports, configuration files, or batch input before automated processing.

SEO copy pre-publish cleanup

Remove excessive blank lines and trailing spaces from page copy before publishing for cleaner source content.

Support template normalization

Standardize spacing in FAQ responses, support macros, and operations announcements.

API documentation cleanup

Clean noisy spacing in request/response examples to improve readability in technical docs.

Log archival preparation

Compact blank-line-heavy logs before storage or sharing to improve scanability.

Pre-ingestion text normalization

Normalize whitespace patterns before inserting text into search indexes or databases.

Markdown and rich text cleanup

Stabilize blank-line structure before converting between markdown, HTML, and plain text.

Practical guidelines

These rules help you get consistent results across different text sources.

After cleaning the source text, use Text Replace when you still need to rewrite repeated terms, field names, or fixed patterns. If variable names, headings, or list labels need consistent casing, continue with Case Converter ; before publishing or submitting the result, Text Counter helps check character and byte limits. For line-based lists, logs, config entries, dedupe, and sorting, Line Tools is the better follow-up tool. If the cleaned text is a JSON payload, open JSON Formatter next to validate and inspect the structure; if it is table-like data, CSV Tools can preview columns and export a cleaner result.

  • Use Collapse mode instead of Remove All when the original paragraph structure matters and you only want to reduce excessive spacing.
  • Turn on Trim Each Line if the input has irregular indentation that would interfere with the empty-line detection.
  • Enable Preserve Line Endings if the output will be used in a system that requires a specific line break style, such as Windows \r\n.
  • Lines containing only spaces or tabs are treated as empty. If you need to keep whitespace-only lines, disable the per-line whitespace detection.
  • Download the result as .txt after processing to keep the cleaned version without relying on copy-paste.

Limitations and important notes

Knowing the boundaries helps you avoid surprises during cleanup.

  • Very large texts (over 10,000 lines) may cause brief rendering pauses while the result is regenerated.
  • Lines containing only whitespace characters such as spaces and tabs are considered empty. There is no option to treat them as non-empty in the current version.
  • The Preserve Line Endings option detects whether the input uses \n or \r\n globally. Mixed line ending styles in the same text are normalized to the detected style.
  • This tool does not modify the visible content of non-empty lines beyond the optional per-line trimming.
  • 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

What counts as an empty line?

A line is considered empty if it has no characters at all, or if it contains only spaces, tabs, or other whitespace characters.

02

Will this tool change the content of my non-empty lines?

No. Empty line modes only affect lines that are completely blank or whitespace-only. The only case where content lines change is when you enable Trim Each Line or Remove Trailing Spaces.

03

Does this page send my text to a server?

No. All processing is done locally in your browser. No data is transmitted to any server.

04

What is the difference between Remove All and Collapse?

Remove All deletes every empty line. Collapse replaces multiple consecutive empty lines with a single one, preserving one blank line between paragraphs.

05

Can I download the result?

Yes. Click Download result to save the cleaned text as a .txt file.

06

What is the difference between preserving and normalizing line endings?

Preserve keeps the original \n or \r\n style as much as possible. Normalize writes output with standard \n line breaks.

07

Do Trim each line and Remove trailing spaces conflict?

No. They are complementary options. Trim each line removes both leading and trailing whitespace; Remove trailing spaces focuses only on line ends.

08

Why are whitespace-only lines removed as empty?

The cleaner treats lines containing only spaces or tabs as empty by design, which matches most practical cleanup workflows.

09

Is this suitable for very large text?

Yes, but very large inputs can cause brief recalculation pauses. Processing in chunks usually gives better responsiveness.

10

Is my text uploaded to a server?

No. The tool runs entirely in your browser, so your text stays local.

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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.