Strip HTML tags to plain text
Remove tags, decode entities, optionally preserve line breaks from block elements like <p> and <br>.
Hello & welcome This is bold and this is italic. One Two Use entities like <br> to keep raw HTML readable. Visit example.com.
How to strip HTML
Removes all <tags>, decodes common entities (&, <, numeric refs), and optionally cleans up whitespace.
- 01
Paste HTML
Markup from CMS, scraped pages, or email HTML.
Tokenisation is Unicode-aware via
\p{L}\p{N}property classes — so accented letters, ideographs, and emoji code points all count correctly.any HTMLUTF-8Unicodecode pointsliveinput · textHTML · UTF-8<p>Hi</p>
loaded · UTF-8UTF-8 · ready - 02
Preserve line breaks
Block elements (
<p>,<br>,<li>) become newlines.Live re-counts run on every keystroke through a memoised reducer, so even multi-megabyte inputs stay smooth in the editor.
block tagslivememoisedoptionssnappypreserve · optionsnewlines · livepara 1 para 2
options applied · livelive - 03
Decode entities
& → &, < → <, numeric refs (') all decoded.
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.entitiesline endingswhitespacediff-cleanreproducibledecode · counted& → & · readyHello & welcome
counted · livecounted - 04
Copy or download
Markdown export option for richer downstream use.
Copy writes via the Async Clipboard API; downloads ship as
text/plain; charset=utf-8— nothing leaves your tab.copymdclipboardtext/plainblobexport · copiedready · done✓ Copied
shipped · ready to shipsuccess
Text-processing fundamentals worth knowing
Tokenise with Unicode classes
Use \p{L}\p{N} with the u flag so accents, ideographs, and emoji count properly.
Normalise line endings
Convert \r\n to \n before diffing or hashing — Windows-vs-Unix endings produce phantom changes.
Mind invisible characters
Zero-width joiners, BOMs, and non-breaking spaces look identical to ASCII space. Strip them before comparison or storage.
Stream don’t slurp
For multi-megabyte text, iterate line-by-line rather than loading everything to memory — keeps the tab responsive.
Choose collation deliberately
Default JS sort is code-point order, not human alphabetical. Use Intl.Collator for locale-aware sorting.
Re-run after normalisation
NFC vs NFD changes byte length but not visible glyphs. String.prototype.normalize() before counts and comparisons.
When to strip HTML
Anywhere you want plain text from rich HTML.
Email cleanup
Convert HTML email bodies to plain text version. Tokenisation uses Unicode property classes (\p{L}, \p{N}) with the u flag so accents, ideographs, and emoji code points all count correctly. Surrogate-pair-aware counts mean 🚀 weighs 1, not 2.
Unicode-correctSearch indexes
Index plain text without markup noise. Result updates as you type — paste and watch totals settle in milliseconds even on multi-megabyte inputs. Heavy work runs through a memoised reducer so the editor never janks.
diff-cleanRSS feed bodies
Convert HTML descriptions to plain summaries. Output normalises line endings to LF for clean diffs across platforms. Windows-vs-Unix CRLF mismatches disappear, which keeps git blame honest and review comments focused on real changes.
instant countsCMS migration
Extract content from a legacy CMS for re-import. Code-point counts are stable across NFC/NFD normalisation. Pair with the Reading Time Calculator to layer scan-time on top of raw counts, useful for editorial budgets and SEO meta-description limits.
platform-awareAI training
Strip markup before feeding to language models. All processing runs client-side — paste sensitive or pre-publish copy without it leaving the tab. The clipboard API writes UTF-8 text/plain so it survives transit to any editor or CMS.
code-point-accurateWord count
Count words/chars on the actual content without tag overhead. Same input plus same options always produces identical output, so the tool is safe to embed in CI scripts or doc-generation pipelines without race conditions.
losslessFrequently asked questions
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