Text Cleaner
Comprehensive text cleaner with 18+ toggles: strip HTML, URLs, emails, phones, punctuation, numbers, non-ASCII, zero-width chars, smart quotes. Includes Unicode normalization.
Updated
Text Cleaner
Comprehensive text cleaner with 18+ toggles: strip HTML, URLs, emails, phones, punctuation, numbers, non-ASCII, zero-width chars, smart quotes, and more. Includes Unicode normalization and presets.
Quick Presets
Cleaning Options
Input
0 characters
Cleaned Output
0 characters
About Text Cleaner
A comprehensive, one-stop text cleaner with 18+ independent toggles. Unlike a pure whitespace tool, it also strips HTML, URLs, emails, phone numbers, punctuation, numbers, non-ASCII characters, and invisible characters like BOM and zero-width space.
- Unicode normalization: NFC/NFD/NFKC/NFKD for canonical / compatibility forms
- Smart typography fix: curly quotes and em/en dashes become plain ASCII
- Invisible character removal: BOM, ZWSP, ZWNJ, ZWJ, word joiner
- Presets: Plain Text, Clean for Copy-Paste, Aggressive Clean, Only Whitespace
Privacy First: All cleaning runs locally in your browser. Nothing is uploaded.
Frequently Asked Questions
What is the Text Cleaner?
The Text Cleaner is a free online tool that comprehensive text cleaner with 18+ toggles: strip html, urls, emails, phones, punctuation, numbers, non-ascii, zero-width chars, smart quotes. includes unicode normalization.. It runs entirely in your browser with no installation or sign-up needed.
How is this different from Whitespace Remover?
Whitespace Remover handles only spaces/tabs/line breaks. Text Cleaner also strips HTML, URLs, emails, phone numbers, punctuation, numbers, non-ASCII chars, zero-width chars, and BOM, plus Unicode normalization.
What do the Unicode normalization forms do?
NFC produces canonical composed form. NFD decomposes to base + combining marks. NFKC/NFKD add compatibility mappings (full-width digits, ligatures). Use NFC for most copy-paste cleanup, NFKC for search/indexing.
Is text sent to a server?
No — cleaning runs entirely in your browser. Text never leaves your device.
Is the Text Cleaner free to use?
Yes, the Text Cleaner is 100% free with no registration, no hidden fees, and no usage limits. All processing happens locally in your browser, ensuring complete privacy.
Is my data safe with this tool?
Absolutely. The Text Cleaner processes everything client-side in your browser. No data is uploaded to or stored on any server. Your content remains private on your device at all times.
Does the Text Cleaner work on mobile devices?
Yes, the Text Cleaner is fully responsive and works on smartphones and tablets. You can use it on any device with a modern web browser -- no app download required.
Do I need to create an account to use this tool?
No account or registration is needed. Simply open the Text Cleaner in your browser and start using it immediately. There are no sign-up walls or usage restrictions.
Can I process large amounts of text?
Yes, the Text Cleaner handles text of any length with fast, real-time processing. Since everything runs in your browser, performance depends on your device but works well for most use cases.
How do I use the Text Cleaner?
Simply enter your input in the provided field, adjust any settings to your preference, and the tool will process it instantly. You can then copy the result to your clipboard or download it.
What are zero-width characters and why should I remove them?
Zero-width characters are invisible Unicode code points that take up no visual space but still exist in your text: the zero-width space (ZWSP), zero-width non-joiner (ZWNJ), zero-width joiner (ZWJ), and word joiner. They sneak in when you copy from web pages, PDFs, or messaging apps, and because you can't see them, they cause baffling bugs. A zero-width space hidden inside a keyword breaks search matches, a slug, or a password check; the same character can split a word so spell-check and find-and-replace silently fail. They also inflate byte counts and sometimes get used to fingerprint copied text. The Text Cleaner has a dedicated toggle that strips all four of these invisible characters in one pass, so paste your text, enable zero-width removal, and copy back text that contains only the characters you can actually see.
Why do curly quotes break my JSON, code, or command line?
Curly or "smart" quotes (“ ” ‘ ’) are typographic characters that word processors, CMS editors, and chat apps auto-insert in place of plain straight quotes. They look nicer in prose but are different Unicode characters from the straight quotes (" and ') that programming languages and data formats expect. JSON parsers, JavaScript strings, SQL queries, and shell commands only recognize straight quotes, so pasting code or a config snippet that picked up curly quotes throws syntax errors that are hard to spot because the difference is so subtle. The same applies to em dashes and ellipsis characters that replace plain hyphens and three dots. The Text Cleaner's smart-quote toggle converts every curly quote back to its straight equivalent and flattens fancy dashes, so paste your snippet, enable that option, and copy code that parses cleanly.
What is a BOM and how do I remove it from a file?
A BOM, or byte order mark, is an invisible character (U+FEFF) some editors add to the very start of a UTF-8 file to flag its encoding. It usually does no harm, but it causes real problems in specific cases: a BOM at the top of a CSV can corrupt the first column header so imports fail or show a stray character, and it can break JSON parsing, shell scripts, or code files that expect the content to begin immediately. Because the BOM is invisible, these errors are maddening to diagnose. The Text Cleaner removes the BOM as the very first step of its cleaning pass, before any other operation runs, so nothing else gets thrown off. Paste your text or file contents, enable BOM removal, and copy back content that starts exactly where you expect it to.
What is the difference between removing HTML tags and decoding HTML entities?
These are two related but separate jobs. Removing HTML tags deletes the angle-bracket markup itself — things like <p>, <a href>, <span>, and <div> — so only the readable text between them remains. Decoding HTML entities handles the encoded stand-ins for special characters, turning & back into &, into a normal space, < into <, and so on, so the words read correctly instead of showing raw codes. When you paste content scraped from a web page you usually want both: strip the tags to get plain prose, and decode entities so ampersands and spaces look right. The Text Cleaner's strip-HTML toggle does both together in a single step. Paste your web-copied text, enable strip HTML, and copy back clean, readable prose with no leftover markup or entity codes.
Which cleaning preset should I use for pasted text?
The Text Cleaner offers four one-click presets so you don't have to set toggles by hand. Plain Text gives the lightest touch, fixing basic whitespace and obvious noise. Clean for Copy-Paste is the everyday choice: it straightens smart quotes, removes zero-width characters and the BOM, collapses extra spaces, and converts tabs — ideal for flattening Word or Google Docs paste before publishing. Aggressive Clean goes furthest, additionally stripping HTML, URLs, emails, phone numbers, and other structural noise for when you need bare text. Only Whitespace touches nothing but spacing, trimming and collapsing blank lines while leaving every character intact. Each preset is a starting point you can fine-tune by flipping individual toggles afterward, and the stat bar shows characters removed and bytes saved. Paste your text, click the preset that matches your goal, then adjust and copy the result.
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About the Text Cleaner
The Text Cleaner is a free online tool for scrubbing messy, copy-pasted text down to clean, predictable characters. Paste anything that picked up unwanted formatting — a passage lifted from a webpage, a Word document, a PDF, a chat export, or a CMS field — and the Text Cleaner strips out the parts you don't want while leaving the words intact. It bundles more than 18 independent cleaning toggles plus four one-click presets, so you can do a light copy-paste tidy or an aggressive strip-everything pass without juggling several different utilities.
Everything runs locally in your browser. Your text is never uploaded to a server, so pasting a draft email, internal notes, or scraped content stays private. There is no sign-up, no character cap, and nothing to install — once the page loads it even works offline.
What the Text Cleaner removes and fixes
Each toggle handles one job, and you can combine them in any order. The available operations include:
- Whitespace — trim leading and trailing spaces per line, collapse runs of spaces into one, collapse multiple blank lines into one, remove all blank lines, remove tabs, or convert tabs to a set number of spaces (1–16, default 4).
- Structural noise — strip HTML tags (and decode common entities like
&and ), remove URLs, email addresses, and phone numbers in international and common formats. - Character classes — remove punctuation, remove numbers, remove non-ASCII characters, or keep only letters, digits, and spaces.
- Invisible and typographic characters — delete zero-width characters (ZWSP, ZWNJ, ZWJ, word joiner) and the byte order mark (BOM), convert curly "smart" quotes to straight
'and", and turn em/en dashes into a plain hyphen with ellipsis characters expanded to three dots. - Unicode normalization — apply NFC, NFD, NFKC, or NFKD forms to standardize how accented and composite characters are encoded.
Why invisible and "smart" characters cause real problems
Text copied from rich sources often carries characters you can't see but software can. A zero-width space inside a keyword silently breaks search matching; a BOM at the start of a file shows up as a stray `` character or corrupts CSV imports; curly quotes break code, JSON, and command-line arguments that expect straight quotes. Unicode normalization matters here too: the letter "é" can be stored as one code point or as "e" plus a combining accent, and the two look identical but compare as unequal. NFC produces the canonical composed form and is the safest default for general copy-paste cleanup, while NFKC additionally folds compatibility variants (full-width digits, ligatures) and is preferred for search and indexing. The Text Cleaner makes all of these one click instead of a regex hunt.
How to use it and what you get back
Paste your text into the input box, then either pick a preset or toggle individual options. The four presets are Plain Text, Clean for Copy-Paste, Aggressive Clean, and Only Whitespace, and you can fine-tune any of them afterward. The cleaned result appears live in the output panel, and a stat bar reports characters before and after, characters removed, bytes saved, and the percentage reduction — useful when you're trimming content to fit a field limit or shrinking a file. Copy the output to your clipboard or download it as a cleaned-text.txt file.
Who it's for
Writers and editors use it to flatten Word or Google Docs paste into clean prose before publishing. Developers and data analysts sanitize input before it hits a database, an API, or a CSV pipeline. SEO and content teams remove tracking characters and normalize quotes so text behaves consistently across a CMS. Anyone who has pasted something and watched it bring along invisible baggage will find the right toggle here. Paste your text above, choose how thoroughly to clean it, and copy the tidy result.