Beyond counting individual words, looking at which two-word phrases repeat most often can reveal patterns single-word analysis misses — recurring names, key phrases, or habitual word combinations in a writer's style.
This tool scans your text for consecutive word pairs, known as bigrams, and ranks them by how often each pair appears together, filtering out the most common filler word pairs to surface more meaningful repetition.
It's useful for content analysis, spotting overused phrases in your own writing, or getting a quick sense of what a large block of text is actually about at a glance.
Because everything runs locally in your browser, results appear instantly and nothing you type or upload is ever sent to a server.
Bookmark this page if you expect to use this tool regularly — it loads fast and behaves the same way every time, with no account needed.
This kind of task shows up constantly in everyday writing, coding, design, and admin work, which is exactly why a dedicated, focused tool saves so much back-and-forth.
A tool that does one job well, without a cluttered interface or unrelated features competing for attention, tends to be faster to use than a heavier all-in-one app.
If you find yourself needing this conversion or calculation often, keeping this page open in a tab is usually faster than digging through a bigger software suite's menus.
Because there's no sign-up or installation step, you can jump straight from search result to working tool in a couple of seconds.
The interface is intentionally simple, so there's no learning curve — the input goes in, the result comes out, and that's the whole interaction.
This tool avoids unnecessary steps like account creation or email verification, since the underlying task itself is simple enough not to need them.
Frequently asked questions
What's a bigram?
A bigram is simply a pair of consecutive words — analyzing bigrams instead of single words can reveal phrases and patterns that word-level counting alone would miss.
Does this work well on very short text?
Short text won't have much repetition to find, so results are most meaningful on longer passages like articles, essays, or transcripts.