Decode binary back to text
Convert 0s and 1s back to UTF-8 text. Strips whitespace automatically — input must be a multiple of 8 bits.
Hello world
How to decode binary
Strips whitespace, splits into 8-bit groups, decodes as UTF-8.
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Paste binary
Any whitespace separator works.
Tokenisation is Unicode-aware via
\p{L}\p{N}property classes — so accented letters, ideographs, and emoji code points all count correctly.bitsUTF-8Unicodecode pointsliveinput · textraw · UTF-801001000
loaded · UTF-8UTF-8 · ready - 02
Auto-grouped
Whitespace stripped, then chunked 8 bits at a time.
Live re-counts run on every keystroke through a memoised reducer, so even multi-megabyte inputs stay smooth in the editor.
8-bitlivememoisedoptionssnappygroups · optionsbytes · live01001000 → H
options applied · livelive - 03
UTF-8 decoded
Bytes are decoded as UTF-8 — multi-byte characters work.
Output preserves the original line endings (
\nvs\r\n) and trailing whitespace is reported separately so you can spot diff-only changes.UTF-8line endingswhitespacediff-cleanreproducibledecode · countedtext · readyHello world
counted · livecounted - 04
Copy or download
One click.
Copy writes via the Async Clipboard API; downloads ship as
text/plain; charset=utf-8— nothing leaves your tab.copyclipboardtext/plainblobclient-sideexport · 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 decode binary
Educational, debugging, or just for fun.
CTF challenges
Decode binary clues in capture-the-flag. 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-correctTeaching
Demonstrate how text becomes bytes in CS classes. 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-cleanByte-level debugging
Confirm encoding correctness when inspecting buffers. 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 countsASCII art reversal
Decode binary ASCII art puzzles. 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-awareCuriosity
See what a phrase looks like in binary. 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-accurateRound-trip test
Verify Text → Binary → Text returns identical input. 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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