🧹 Remove Extra Spaces

Remove all extra spaces, tabs, and multiple whitespace characters from your text. Normalize spacing by converting multiple consecutive spaces into single spaces. Perfect for cleaning up text data and improving readability.

Enter Your Text:

📌 Cleaned Output:

Type or paste text to see cleaned version...

Original Chars

Cleaned Chars

Spaces Removed

💡 How it works:

Paste or type your text in the textarea above
The tool automatically detects and normalizes whitespace
Replaces multiple spaces with single spaces
Removes tabs, multiple line breaks, and extra whitespace
Trims leading and trailing whitespace
Preserves single spaces between words and at line breaks

📝 Examples:

Input (With Extra Spaces):

This is a text with multiple spaces

• Shows ➜ for spaces

Output (Cleaned):

This is a text with multiple spaces

Input (With Tabs and Multiple Spaces):

Name John Address 123 Main St City New York

Output (Cleaned):

Name John Address 123 Main St City New York

Statistics:

Original Characters: 47
Cleaned Characters: 35
Spaces/Tabs Removed: 12

📚 Use Cases:

Clean up text copied from PDFs or web pages
Normalize data before importing into databases
Fix formatting issues in pasted text
Prepare data for data processing or analysis
Remove formatting whitespace from documents
Clean CSV or tab-separated data
Improve readability of poorly formatted text

ℹ️ Note: This tool converts all whitespace sequences (spaces, tabs, multiple line breaks) into single spaces and trims leading/trailing whitespace. Single spaces between words are preserved.

Every run of whitespace becomes one space

A single pass does the whole job. Any unbroken stretch of whitespace - however long, whatever it is made of - collapses to one ordinary space, and the ends are then trimmed:

cleaned = text.replace(/\s+/g, " ").trim()

"Hello   world\n\n  Goodbye "   ->   "Hello world Goodbye"
25 characters                        19 characters, 6 removed

Newlines are whitespace too, so the result is always a single line. That is the point when you are rescuing text copied out of a PDF, where every visual line ends in a hard break, but it does mean paragraph structure does not survive.

What counts as whitespace here

More than the space bar. Tabs, carriage returns, form feeds, the non-breaking space Word inserts and the wide ideographic space used in Chinese and Japanese text all match, and all come out as a plain space.
Zero-width characters do not match. A zero-width space (U+200B) or a soft hyphen is invisible but is not whitespace, so it stays in your text and can still break a search or a database key.
Spaces Removed is a length difference, not a count of space characters. Turning a non-breaking space into an ordinary one changes nothing in that figure because one character became one character.
Everything else is untouched: letters, punctuation and case are exactly as you pasted them.

Never run source code, YAML or Markdown through this. Losing indentation and line breaks makes Python code invalid and turns a formatted document into one long paragraph.

Frequently asked questions

How do I remove double spaces after a full stop?

Paste the text and every double space closes up to one. Two spaces after a sentence was a typewriter habit for monospaced type; proportional fonts space the gap themselves, and modern style guides all call for one.

Why has my text turned into one long line?

Line breaks are whitespace, so they collapse along with the spaces. If you need the lines kept, use Remove Blank Lines, which only deletes empty ones and leaves the rest of the layout alone.

Does this fix the strange spacing in text copied from a PDF?

Mostly. The non-breaking spaces and stray tabs that PDF extraction leaves behind are normalised to plain spaces. Hyphens split across a line break are not rejoined - those you fix by hand.