Clean Text
Remove invisible characters and normalize whitespace.
How to Use Clean Text
- 1Paste your messy text
- 2The text is cleaned instantly
- 3Copy or download the clean result
About Clean Text
Clean Text removes invisible control characters (ASCII 0–31, except tab \t and newline \n), normalizes non-breaking spaces to regular spaces, and trims leading and trailing whitespace from the entire text. This is the essential first step when processing text pasted from PDFs, Word documents, emails, or content extracted by web scraping tools.
These invisible characters — including null bytes, bell characters, carriage returns without matching newlines, and other formatting codes — are invisible to the eye but can cause silent failures in databases, APIs, command-line tools, and text processing scripts that are not built to handle them.
After cleaning with this tool, your text is safe to insert into databases, send via APIs, process with command-line utilities, and feed into NLP pipelines. All cleaning runs locally in your browser with no server upload.
Key Features of Clean Text
- Removes ASCII control characters (0-31) except tab and newline
- Converts non-breaking spaces (U+00A0) to regular spaces
- Trims leading and trailing whitespace from the entire text
- Normalizes carriage returns and mixed line endings
- Instant real-time cleaning as you paste or type
- One-click copy button for the cleaned output
- Download result as a plain .txt file
- Runs entirely in-browser with no data transmission
Examples
Remove null bytes from a database export
Strip invisible null characters that were embedded in text exported from a legacy system.
Input
Hello World — data from legacy system
Output
Hello World — data from legacy system
Normalize non-breaking spaces from a web scrape
Convert non-breaking spaces (U+00A0) found in HTML-sourced text to regular spaces.
Input
Price: $99.99 USD
Output
Price: $99.99 USD
Common Use Cases
- Sanitizing text pasted from PDFs that embeds invisible formatting characters
- Cleaning content scraped from websites that includes HTML whitespace entities
- Removing null bytes from database exports that corrupt text processing
- Normalizing text before insertion into databases that reject control characters
- Preparing text data for NLP pipelines that require clean Unicode input
- Stripping invisible characters from API responses before parsing
Troubleshooting
Expecting tab characters to be removed
Solution
Tab characters (ASCII 9) are intentionally preserved because they are commonly used for intentional indentation. If you need to remove tabs, use a Find & Replace operation after cleaning.
Non-breaking spaces still appearing after cleaning
Solution
The tool converts non-breaking spaces (U+00A0) to regular spaces. If you still see invisible spacing issues, the text may contain other Unicode whitespace characters (e.g., em space U+2003, en space U+2002). These are handled by the normalization step in most cases.
Expecting the tool to fix encoding issues like garbled characters
Solution
Clean Text removes control characters but does not fix character encoding issues such as mojibake (garbled text from incorrect encoding). If your text shows garbled characters, the root cause is an encoding mismatch that must be fixed at the source.
Frequently Asked Questions
What exactly does Clean Text remove?
It removes ASCII control characters in the range 0-31, with the exception of tab (ASCII 9) and newline (ASCII 10). This includes null bytes (0), bell (7), backspace (8), carriage returns without matching newlines (13), and other invisible formatting codes.
Does it remove tab characters?
No. Tab characters (ASCII 9) are preserved because they are commonly used for intentional text indentation. If you need to remove or replace tabs, use the Find & Replace tool after cleaning.
Does it fix non-breaking spaces?
Yes. Non-breaking spaces (Unicode U+00A0), commonly found in HTML content and Word documents, are converted to regular ASCII spaces (U+0020) as part of the cleaning process.
Will it fix garbled characters from encoding problems?
No. Clean Text removes control characters but does not fix encoding mismatches (mojibake). If your text shows garbled characters like "’" instead of a smart quote, the root cause is an incorrect character encoding that must be fixed at the source file or database level.
Does it normalize Windows line endings (CRLF)?
Yes. Stray carriage return characters (\r) that appear without a corresponding newline are removed. Windows-style CRLF line endings are normalized to Unix LF to ensure consistent line handling.
Is there a text length limit?
No. Processing runs locally in your browser with no server overhead. Documents of any length are cleaned instantly.
Is my text stored or sent to a server?
No. All cleaning runs in client-side JavaScript. Your text is never uploaded, stored, or transmitted to any server or third-party service.
When should I use Clean Text vs Remove Extra Spaces?
Use Clean Text when you suspect invisible control characters, null bytes, or non-breaking spaces in your content — especially from PDFs, scraping, or legacy systems. Use Remove Extra Spaces when you specifically need to collapse multiple visible space characters between words.