Remove Random Symbols from Text
Randomly strip punctuation and symbols from your text.
Removal Settings
Chance to remove each symbol
Statistics
Cleanup Modes
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Clean Text by Removing Symbols
The Remove Random Symbols Tool strips punctuation and special characters from your text at random intervals. This is essential for text normalization, testing parser resilience, and creating training data for NLP systems that need to handle inconsistent or missing punctuation.
How to Use
- Set intensity - Low (10-30%) keeps most punctuation, high (100%) removes all symbols
- Enter text - Paste or upload content with punctuation/symbols
- Review cleanup - See statistics on symbols removed
- Download - Save cleaned text as TXT
Common Use Cases
Text Normalization
Clean messy text by removing unwanted symbols for consistent analysis and processing.
Parser Testing
Test if parsers and NLP systems handle text with inconsistent or missing punctuation.
Data Cleanup
Prepare text for systems that don't handle special characters well.
Example
Frequently Asked Questions
What symbols does this tool remove?
The tool randomly removes punctuation and special characters including: ! ? . , @ # $ % & * ( ) - + = [ ] { } | ; : " ' / \ < >. Alphanumeric characters (a-z, A-Z, 0-9) and whitespace are always preserved.
How does the intensity slider work?
The intensity (1-100%) represents the probability of removing each symbol. At 25%, roughly 1 in 4 symbols is removed. At 50%, half the symbols are stripped. At 100%, nearly all punctuation and symbols are removed, leaving pure alphanumeric text.
Why would I want to randomly remove symbols?
Random removal is useful for testing how parsers handle inconsistent punctuation, creating noisy training data for NLP models, simulating over-aggressive text cleanup, or testing if systems can understand text with partial/missing punctuation.
Can I remove ALL symbols at once?
Yes! Set intensity to 100% to remove all punctuation and symbols, leaving only letters, numbers, and spaces. This creates completely normalized text, perfect for analysis or systems that don't handle special characters well.
How is this useful for NLP?
In Natural Language Processing, text often arrives with inconsistent or missing punctuation. By training on text with randomly removed symbols, models become more robust to real-world messy data and don't rely too heavily on punctuation for understanding.
Can I upload files to process?
Yes! Click the Upload button to load .txt files. Great for batch cleaning documents, testing parsers with large datasets, or creating normalized versions of text files for analysis.
What's the difference between 50% and 100% intensity?
At 50%, roughly half the symbols remain, creating inconsistently punctuated text (realistic for testing). At 100%, ALL symbols are removed, creating completely clean alphanumeric text (best for strict normalization or systems that can't handle symbols).
Does this affect numbers?
No. Numbers (0-9) are always preserved. Only punctuation and special characters are removed. For example, '123' stays as '123', but '$123' becomes '123' when the $ is removed.
Can I download the cleaned text?
Absolutely! Click the TXT button to download your symbol-stripped text as a plain text file. The filename includes a timestamp for easy organization.
Is my text data private?
100% yes. All processing happens locally in your browser using JavaScript. Your text never leaves your device, and nothing is sent to our servers. Completely private and secure.