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Text and Document Tools

Unicode Text Normalizer

Normalize Unicode text into NFC, NFD, NFKC, or NFKD form and compare character and byte counts.

ToolRuns in the browser
Unicode Text Normalizer working example

Normalize Unicode text into NFC, NFD, NFKC, or NFKD form and compare character and byte counts.

Runs in your browser
Sample result
Example Unicode Text Normalizer result
Document result
- Cleaned text or count summary
- Formatting note
- Items to review before sending or exporting
Next step: copy the cleaned text or continue with a document export tool
The interactive tool loads in this area when JavaScript is enabled.

How to use Unicode Text Normalizer

Common uses include Debug visually identical strings, Normalize database input, Compare Unicode forms.

  • Open Unicode Text Normalizer and add the text, Markdown, table, or document draft you want to prepare.
  • Set the cleanup, counting, formatting, or template option that fits the writing task. Focus first on Debug visually identical strings.
  • Run the tool and read through the result before using it in a document, message, or post. Use the next pass to Compare Unicode forms.
  • Copy or save the prepared text when it supports your next step: Normalize database input.

Useful for

  • Debug visually identical strings
  • Normalize database input
  • Compare Unicode forms

Common issues

The result removes important meaning.

Add the key term back, split long sentences, and compare the output with the original draft.

Formatting changes after pasting.

Check whether the destination expects plain text, Markdown, a table, or a PDF-style layout.

How to interpret the result

Use the result as a writing aid, then read it in context before sending, publishing, or submitting the document.

Related workflow

Next path: Unicode Text Normalizer -> Whitespace Remover -> Word Counter. Keep the original input nearby so you can compare each result before using it elsewhere.

Privacy and review notes

This tool is designed to process inputs in the browser where the workflow allows it. For important work, compare the output with your original source and the rules of the service where you will use it. Use non-sensitive examples and review the output before sharing or submitting it.