Text Utilities
Whitespace / Invisible Character Cleaner
Remove extra spaces, tabs, and invisible characters from pasted text.
The Whitespace Cleaner removes extra spaces, tabs, blank lines, and invisible Unicode characters that can break formatting, parsing, or comparisons. It gives you a cleaned version of your text along with a summary of how many characters were removed.
Cleaned output
Preview the cleaned text and check what changed.
-
Original length
-
Cleaned length
-
Characters removed
-
What this tool does
The Whitespace Cleaner removes extra spaces, tabs, blank lines, and invisible Unicode characters that can break formatting, parsing, or comparisons. It gives you a cleaned version of your text along with a summary of how many characters were removed.
When to use this tool
Use it before importing data into spreadsheets, cleaning text from PDFs, or comparing two versions of a file. It pairs well with Text Diff when you want to reduce noise, and with Text Case Converter when you need consistent casing after cleanup.
How it works
The tool applies the cleaning options you select, such as trimming edges, collapsing spaces, converting tabs, and removing zero-width characters. It also normalizes line endings for cross-platform consistency. The cleaned text is displayed immediately for review and copying.
Example use case
You paste a list of items from a PDF and the data includes hidden line breaks and non-breaking spaces. Run the cleaner with zero-width and line normalization enabled, copy the cleaned output, and paste it into your CSV or database tool without formatting issues.
Use cases
- Clean pasted spreadsheet data before import.
- Remove invisible characters before a text diff.
- Normalize line endings for cross-platform files.
Notes & limitations
Aggressive cleanup can remove intentional formatting, so review the output if you rely on whitespace for alignment. The tool does not interpret markdown or code semantics; it only modifies whitespace. For very large inputs, performance may vary depending on your browser and device.
If you are cleaning code snippets, be careful with the option to convert tabs, since indentation style may matter in languages like Python. You can run multiple passes with different settings and compare outputs using the text diff tool to confirm no structural changes were introduced.
For text coming from spreadsheets or rich editors, hidden non-breaking spaces are common. Use the invisible character option to remove them before pasting into databases or form fields.
If you are cleaning long content, preview the output before overwriting the original.
