Unicode Text Normalizer & Fixer
Also known as a unicode text fixer, unicode normalizer, or homoglyph converter, this tool converts fancy unicode characters back to standard ASCII text. Perfect for fixing text that looks normal but contains hidden unicode characters that cause problems with:
- Search functionality: Unicode lookalikes break search and find/replace
- Programming: Variables with unicode characters cause syntax errors
- Data processing: Clean text for databases and spreadsheets
- Spam detection: Reveal hidden characters used to bypass filters
Best Unicode Text Fixer ever
Our Fake Text Fixer (Unicode Normalizer) is the best in the world because it is simple yet advanced, fast, and ad free.
- Easy - Sometimes you just need a simple tool with no fuss. Our Fake Text Fixer is just that. But for those times when you need more, it also has powerful features such as unicode recovery and homoglyph detection.
- Fast - Our Fake Text Fixer is fast. Start now and instantly get recover. Just paste the fake text and get the original text instantly.
- Modern - Our Fake Text Fixer is built in Next 16, with Material 3 design and served on blazingly fast Vercel edge servers.
- Ad free - Our Fake Text Fixer is free from ads. Many other tools are cluttered with ads, but not this one.
- Free for life - Our Fake Text Fixer is free to use forever.
What this tool does
Our Fake Text Fixer tool recovers text from fake text. It maps all the characrers that look like normal text to their normal text equivalents. For example, it will convert any word like 𝖘𝖚𝖒, 𝕤𝓾𝓂 and 🆂🅤ⓜ to their a-z regular text equivaluent characters: sum.
So when you suspect that the text you are reading is fake, you can use our tool to recover the original text.
Why do people fake text?
Faking text is a common method to try to circumvent email spam filters. By using fake text, spammers can try to trick spam filters into thinking that their emails are legitimate. This can help them avoid being caught by spam filters and reach more people with their messages.
Main reasons for using fake text include:
- SpamSpammers may use fake text to try to avoid being caught by spam filters.
- Social mediaPeople may use fake text on social media to make their posts stand out.
- SecuritySome people may use fake text to try to protect their personal information.
- BrandingCompanies may use fake text to try to make their branding more memorable.
However, fake text can be frustrating for recipients who are trying to read the email. Our Fake Text Fixer tool helps you recover text from fake text.
What exactly is fake text?
Fake text is text that is designed to look like normal text but is actually made up of characters that are not part of the standard alphabet. This can include characters from other languages, symbols, or even emojis. Fake text can be used for a variety of reasons, including trying to avoid spam filters, making text stand out on social media, or protecting personal information. Our Fake Text Fixer tool helps you recover the original text from fake text.
The Unicode standard defines a wide range of characters that can be used in text, including characters from different languages, symbols, and emojis. While these characters can be useful for adding variety and expressiveness to text, they can also be used to create fake text that is difficult to read or understand.
Here are the most common Unicode blocks that are used to fake text in email and social media:
- Cyrrilic Supplement (U+0500 - U+052F). These characters are designed to represent additional Cyrillic characters that are not part of the standard Russian alphabet. These are probably the most common characters used to fake text, because many of them are virtually indistinguishable from their Latin counterparts. Example of symbols from this set: а ѕ ү м.
- Mathematical Alphanumeric Symbols (U+1D400 - U+1D7FF). These characters are designed to represent mathematical symbols in a bold, italic, or bold italic style. They can be used to create fake text that looks like normal text but is actually made up of mathematical symbols. Example of symbols from this set: 𝐲 𝑫 𝒳.
- Mathematical Operators (U+2200 - U+22FF). These characters are designed to represent mathematical operators, such as addition, subtraction, multiplication, and division. They can be used to create fake text that looks like normal text but is actually made up of mathematical symbols. Example of symbols from this set: ∑ ∫ ∞.
- Enclosed Alphanumeric Supplement (U+1F100 - U+1F1FF). These characters are designed to represent enclosed alphanumeric characters in a variety of styles. They can be used to create fake text that looks like normal text but is actually made up of enclosed characters. Example of symbols from this set: 🄲 🅃 🅄.
- Latin Extended-A (U+0100 - U+017F). These characters are designed to represent Latin characters with diacritical marks, such as accents and umlauts. They can be used to create fake text that looks like normal text but is actually made up of Latin characters with diacritical marks. Example of symbols from this set: ı ā ă ą.
- Latin Extended-B (U+0180 - U+024F). These characters are designed to represent Latin characters with additional diacritical marks and ligatures. They can be used to create fake text that looks like normal text but is actually made up of Latin characters with additional diacritical marks and ligatures. Example of symbols from this set: ƀ Ɓ Ƃ.
- IPA Extensions (U+0250 - U+02AF). These characters are designed to represent the International Phonetic Alphabet (IPA) symbols. They can be used to create fake text that looks like normal text but is actually made up of IPA symbols. Examples of symbols from this set: ɐ ɼ ʋ.
- Latin Extended Additional (U+1E00 - U+1EFF). These characters are designed to represent additional Latin characters with diacritical marks. They can be used to create fake text that looks like normal text but is actually made up of additional Latin characters with diacritical marks. Example of symbols from this set: ḃ ṅ Ẁ.
- See a full list of unicode blocks at Unicode Explorer.
Why are there fake text characters?
A homoglyph is one of two or more characters with shapes that appear identical or very similar but may have differing meaning. Even though theoretically, every homoglyphic pair of characters can be differentiated graphically, typefaces do no include all the necessary distinctions. This is why some characters ban be used to fake text.
Frequently Asked Questions
Common questions about unicode text recovery, encoding issues, and homoglyph detection.
What is mojibake?
Mojibake (文字化け) is garbled text that appears when text is decoded using the wrong character encoding. For example, "é" appearing instead of "é" or "’" instead of an apostrophe. It commonly occurs when copying text between systems with different encodings. Unicode text fixer tools can convert mojibake back to readable text.
What is a homoglyph attack?
A homoglyph attack uses characters that look identical but have different Unicode codes to deceive users. For example, using Cyrillic "а" (U+0430) instead of Latin "a" (U+0061) in URLs like "pаypal.com" to create convincing phishing sites. Unicode text fixers can detect and reveal these hidden character substitutions.
How to detect fake Unicode text in suspicious emails
Learn to identify hidden Unicode characters used in phishing attempts.
- Copy the suspicious text (especially URLs or sender names)
- Paste into a Unicode text analyzer or fixer tool
- Look for characters that appear normal but have unusual Unicode codes
- Check for Cyrillic, Greek, or mathematical symbols replacing Latin letters
- Note that homoglyphs often appear in phishing attempts
How to fix corrupted text encoding
Steps to fix garbled or mojibake text caused by encoding errors.
- Use an encoding fixer tool
- Paste the garbled text
- The tool auto-detects and fixes common encoding errors like UTF-8 misread as Latin-1
- Text like "Café" becomes "Café"
- If auto-fix fails, try selecting source/target encodings manually
What causes garbled text in emails?
Garbled email text (mojibake) occurs when sender and receiver use different character encodings. Common causes: UTF-8 text read as ISO-8859-1, missing encoding headers, copy-pasting between incompatible systems, or old email clients. Non-ASCII characters (accents, symbols, emojis) are most affected.
How to detect fake Unicode characters in text
Identify confusable or homoglyph characters that may be used deceptively.
- Use a Unicode analyzer tool
- Paste suspicious text
- Check for Cyrillic letters resembling Latin (а vs a), zero-width characters, homoglyphs, or invisible formatting
- These are used in phishing URLs and bypassing filters
- Compare Unicode code points to identify fakes
What is the difference between UTF-8 and Latin-1 encoding?
UTF-8 encodes all Unicode characters using 1-4 bytes, supporting every language. Latin-1 (ISO-8859-1) uses 1 byte per character, supporting only Western European languages (256 characters). When UTF-8 text is read as Latin-1, multi-byte characters appear as multiple garbage characters: "café" becomes "café".
Why does my text have question marks instead of characters?
Question marks (?) or boxes (□) replacing text mean characters aren't supported by the current encoding or font. Causes: database doesn't support UTF-8, font lacks glyphs for those characters, encoding mismatch during copy-paste, or legacy system stripping non-ASCII. Use encoding detection tools to diagnose and fix.
How to remove zero-width characters from text
Clean invisible characters that cause text processing problems.
- Use a text cleaner tool
- Look for options to strip zero-width space (U+200B), zero-width non-joiner (U+200C), and zero-width joiner (U+200D)
- These characters cause copy-paste issues, search failures, and data comparison problems
