UnicodeClean - Invisible Character Decoder

Decode and Clean Invisible Characters

The most advanced tool to detect, analyze and remove invisible Unicode characters and non-printable characters from your text. Multiple cleaning levels and professional export options.

unicode-decoder.app
Text with invisible characters:
HelloU+200BworldU+FEFF!
✓ 2 invisible characters detected
Ready for cleaning!

Powerful Features

A complete suite of tools for Unicode text analysis and cleaning

Advanced Detection

Identifies over 100 different types of invisible Unicode characters across 6 categories: Control, Spaces, Formatting, Combining, Variation, and Private Use.

  • • ASCII control characters
  • • Special Unicode spaces
  • • Formatting markers
  • • Variation selectors

Multiple Levels

4 cleaning levels: Basic, Intermediate, Advanced, and Custom. Complete control over which characters to remove.

  • • Basic cleaning for beginners
  • • Advanced mode for specialists
  • • Custom configuration
  • • Smart preservation

Professional Export

Export detailed reports in multiple formats: JSON, CSV, TXT, and XML. Perfect for documentation and analysis.

  • • Structured reports
  • • Spreadsheet data
  • • Readable documentation
  • • Standard XML format

Clear Visualization

Intuitive visual interface with color highlighting for each type of invisible character. Unicode codes and detailed descriptions.

  • • Colors by category
  • • Distinctive icons
  • • Informative tooltips
  • • Precise positioning

Fast Processing

Real-time analysis as you type. Responsive interface that works perfectly on desktop and mobile.

  • • Instant analysis
  • • Responsive interface
  • • Performance optimized
  • • No internet required

100% Secure

All processing is done locally in your browser. Your data is never sent to external servers.

  • • Local processing
  • • No data upload
  • • Privacy guaranteed
  • • Open source

How to Use

Three simple steps to detect and clean invisible characters

1

Paste Text

Paste or type the text you suspect contains invisible characters into the app's text area.

2

Analyze Results

Instantly see all detected invisible characters with Unicode codes and detailed descriptions.

3

Clean & Export

Choose the desired cleaning level, remove invisible characters, and export the result or report.

Common Use Cases

Code Debugging

Find problematic characters in code strings

Data Cleaning

Remove invisible formatting from imported data

Text Preparation

Prepare texts for publishing or processing

Forensic Analysis

Investigate the actual composition of suspicious strings

UnicodeClean App

Use the tool directly in your browser - free and no registration required

UnicodeClean - Decoder

Documentation

Complete guide to use UnicodeClean efficiently

Quick Start

1. Paste text: Insert the text in the input area

2. Automatic analysis: Invisible characters are detected instantly

3. Choose level: Select between Basic, Intermediate, Advanced, or Custom

4. Clean text: Click "Clean invisibles" to remove characters

5. Export results: Download reports in JSON, CSV, TXT, or XML

Character Types

⚠️ Control

ASCII control characters (0-31) and DEL (127)

👁️ Space

Special non-visible Unicode spaces

ℹ️ Format

Formatting markers and text direction

💜 Combining

Diacritical characters that combine

Cleaning Levels

Basic: Removes only essential control characters (NULL, BACKSPACE, etc.)

Intermediate: Removes controls + special spaces + common formatting

Advanced: Removes almost all invisible characters, including combinations

Custom: Allows you to choose specific categories for removal

Practical Examples

Problem: Text copied from web

Before:
"HelloU+00A0worldU+200B!"
After (intermediate level):
"Hello world!"

Problem: Code with hidden characters

Before:
constU+200Bname = "test";
After (basic level):
const name = "test";

Frequently Asked Questions

Answers to the most common questions about UnicodeClean

What are invisible Unicode characters?

They are characters that are part of the Unicode standard but are not visually represented on screen. They include control characters, special spaces, formatting markers, and other elements that can affect text appearance or behavior without being visible.

Why should I remove invisible characters?

Invisible characters can cause various problems:

  • Programming: Hard-to-detect syntax errors
  • Databases: Inconsistencies in searches and comparisons
  • Formatting: Unwanted line breaks and spacing
  • SEO: Indexing problems in search engines
  • Accessibility: Confusion for screen readers

Which cleaning level should I use?

Basic: For simple texts where you want to preserve basic formatting

Intermediate: Recommended for most cases - removes common problems

Advanced: For complete cleaning, ideal for programming and structured data

Custom: When you know exactly which types of characters to remove

Is UnicodeClean safe? Is my data sent to servers?

No! UnicodeClean works 100% locally in your browser. All processing is done on your computer and no data is sent to external servers. This ensures complete privacy and security of your texts.

How can I export the analysis results?

UnicodeClean offers export in 4 formats:

  • JSON: For integration with systems and APIs
  • CSV: For analysis in spreadsheets (Excel, Google Sheets)
  • TXT: Readable report for documentation
  • XML: Standard structured format

Can I use UnicodeClean on mobile devices?

Yes! UnicodeClean was developed with responsive design and works perfectly on smartphones and tablets. The interface automatically adapts to your device's screen size.

Is there a size limit for text?

There's no hard limit, but very large texts (>100MB) may be processed more slowly depending on your device's capabilities. For very large files, we recommend dividing the text into smaller parts.

How to identify where invisible characters came from?

Invisible characters usually come from:

  • • Copy and paste from websites and documents
  • • Conversion between different text encodings
  • • Text editors that insert hidden formatting
  • • Data import from different systems
  • • Text manipulation by scripts or programs