Merge Text
Combine two lists side by side, line by line.
Rank single words, pairs and triples by how often they appear.
The Word Frequency Analyzer ranks single words, two-word phrases and three-word phrases together, because phrases say what a document is about in a way single words cannot. Stop words are filtered from the single-word list only, so real phrases survive intact.
Counting single words tells you which terms a text uses. Counting phrases tells you what it is about. "Content" and "marketing" appearing forty times each is a much weaker signal than "content marketing" appearing forty times as a phrase.
This analyses all three levels at once: single words, two-word phrases and three-word phrases, each ranked with counts and density. Stop words can be filtered out of the single-word list while being kept inside phrases, which matters because "return on investment" is a real phrase that stop word filtering would destroy. The result is the closest thing to an automatic summary of what a document actually discusses.
Single words, pairs and triples ranked together, since most real topics are phrases.
Filtered from single words but kept inside phrases, so "return on investment" survives.
Each term as a share of the total, which makes texts of different lengths comparable.
Hide the long tail of terms that appear once, which is most of any frequency list.
Any table downloads straight to a spreadsheet for further work.
An article, a set of reviews, a transcript or a competitor's page.
Exclude common filler words, choose whether case matters, and set a minimum count.
Single words, two-word phrases and three-word phrases, each ranked by frequency.
Any table can be copied or downloaded as CSV for a spreadsheet.
A run of n consecutive words. A unigram is one word, a bigram is two, a trigram is three. Phrase-level frequency is far more informative than single words for working out what a text is about.
No. "Return on investment" and "state of the art" are real phrases that stop word filtering destroys. This tool filters them from the single-word list only, which is where they are genuinely noise.
A counter ranks single words. This adds two and three-word phrases, density percentages and a minimum-count filter, which turns a raw count into something you can act on.
Working out what a competitor's page targets, finding the terms your own draft over-uses, or summarising a large set of survey responses or reviews into their recurring themes.
What people who use the Word Frequency Analyzer think of it. Reviews come from visitors and are posted as written.
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Write the first reviewCombine two lists side by side, line by line.
Find which lines repeat in a list, and where they are.
Strip emoji and their invisible joiners out of any text.
Replace emoji with their names, shortcodes, or nothing at all.
Flip text so it reads upside down.
Spell out text using Alfa, Bravo, Charlie and the rest.
Insert text at a position, every N characters, or around a match.
Italic text for fields with no formatting controls.