Normalize Unicode
Normalize Unicode text using the standard forms NFC, NFD, NFKC and NFKD to fix inconsistent combining characters and look-alike symbols. Runs entirely in your browser.
Normalisation form
Canonical composition (recommended default)
Normalised text
Normalize Unicode text using the standard forms NFC, NFD, NFKC and NFKD to fix inconsistent combining characters and look-alike symbols. Runs entirely in your browser. Normalize Unicode is a free, browser-based tool in the Toolsnest text tools collection — there is nothing to install, no account to create and no watermark on your results. It works on desktop, tablet and mobile, and because the work happens on your own device it stays fast even with large inputs.
How to use the Normalize Unicode
- Open the Normalize Unicode — it runs entirely in your browser with no setup.
- Paste or type your input into the text area, or upload a file where supported.
- Set any options you need, then run the conversion or transformation.
- Review the output instantly; large inputs are handled locally without lag.
- Copy the result to your clipboard or download it. Your data never leaves the page.
Why use the Normalize Unicode?
- 100% free with no limits, no sign-up and no watermarks.
- Private by design — your data are processed in your browser and never uploaded to a server.
- Fast and lightweight, with instant results even on a phone or a slow connection.
- Works everywhere — any modern browser on Windows, macOS, Linux, Android or iOS.
- Part of a full text tools suite, so related normalize unicode tasks are one click away.
Is it private and secure?
Your privacy is built in. The Normalize Unicode runs completely on your device, so whatever you enter stays in your browser and is never transmitted, logged or stored on any server.
Frequently asked questions
Which form should I use?
NFC is the safest default for storage and display. Use NFKC to also fold compatibility look-alikes (e.g. fancy fonts, ligatures) down to plain equivalents.
Why does normalisation matter?
The same visible character can be encoded multiple ways. Normalising makes text consistent so search, comparison and deduplication behave reliably.