Syllable Counter

Use a fast browser-local English estimate for pacing/readability context; dictionary pronunciation can differ.

English text

—Words

—Estimated syllables

—Sentences

—Syllables / word

—English syllables are estimated heuristically, so unusual names, abbreviations, and loanwords can differ from dictionary pronunciation.

Vocabulary & syllable context

See frequency and syllable estimates together so repetition and word complexity are easier to interpret.

Minimum word length

Case-sensitive frequency

0Words

0Unique

0Est. syllables

03+ syllable words

Word	Count	Share	Est. syllables

English syllable counts use a heuristic. Names, abbreviations, borrowed words and pronunciation variants can differ from a dictionary or spoken reading.

Cleanup Case Developer cases Frequency Text Diff Unicode

Readability-oriented text audit

Add polysyllabic share, words/sentence and reading-time evidence to the syllable count.

Reading evidence

Metric	Value	Meaning

Independent text evidence audit

Recount the current text with a separate browser-local evidence layer. It reads the existing tool input; it does not replace the primary counter or send text anywhere.

Enter text in the tool above, then refresh this audit.

Text evidence audit ready.

Core counting & writing metrics

Start with the broad counter that matches the question, then move to focused frequency, reading-time or syllable analysis. Specialist readability, repetition and writing-goal tools remain available from the full hub.

All 28 text analysis tools

Word CounterWords, characters, structure & reading time Character CounterCharacters, code points & limits Sentence CounterSentence count & average length Paragraph CounterParagraph blocks, words & lines Line CounterLogical, empty & non-empty lines Word FrequencyTop terms & vocabulary diversity Reading TimeWords to minutes at a chosen WPM Syllable CounterSyllable estimate & density

Text and Unicode limits

Editorial title-case rules have edge cases, syllable counts are heuristic, Unicode style substitutions depend on font/app support, and normalized or visually similar Unicode text is not automatically safe or equivalent. Structural XML comparison should use the XML-aware engine rather than a raw line diff.