WebToolArcLiteral substring and whole-word phrase matching are separate
Use literal mode when substrings matter, or switch to segmented whole-word matching when a phrase should match word tokens rather than characters inside larger words.
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Text Counting & Analysis Tools
Phrase Frequency Counter
Paste text and a phrase to count literal occurrences locally without changing the source text.
0Literal occurrences
Counts run locally in your browser. When available, word, sentence, and grapheme segmentation uses the browser’s Unicode-aware Intl.Segmenter; fallback rules are used on older browsers.
Phrase Frequency Counter: Density & Position Audit
Measure literal phrase frequency with density, match positions, overlap policy and nearby context for repeated-phrase auditing.
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.
Word CounterWords, characters, structure & reading timeCharacter CounterCharacters, code points & limitsSentence CounterSentence count & average lengthParagraph CounterParagraph blocks, words & linesLine CounterLogical, empty & non-empty linesWord FrequencyTop terms & vocabulary diversityReading TimeWords to minutes at a chosen WPMSyllable CounterSyllable estimate & density
Practical guide and verification
Use the tool first, then apply these checks to verify the inputs, interpret the result, and hand it off without displacing the primary workflow.
Define what counts as a phrase
Exact text, whole-word sequences, punctuation-normalized text, and overlapping matches can produce different counts. Keep case and overlap settings with the result so a later comparison does not attribute a changed count to editing when the matching rule actually changed.
Read frequent phrases in context
High frequency can indicate boilerplate or awkward repetition, but it can also reflect a product name, legal phrase, technical term, or intentionally repeated instruction. Inspect representative occurrences before rewriting instead of treating every high-count phrase as a defect.
Use the same denominator across drafts
Density comparisons are meaningful only when the analyzed text and tokenization rules are comparable. Removing navigation, references, headings, or quoted material from one draft but not another changes the denominator. Record the text scope when frequency results are used in an editorial review.
Do not use phrase counts as a ranking formula
Search visibility depends on usefulness, relevance, links, technical accessibility, intent fit, competition, and many other signals. Phrase frequency is a writing diagnostic, not a target percentage or proof of search quality. Prefer clearer copy over mechanical repetition.