N-gram Extractor

The N-gram Extractor reads a block of text and finds every repeated sequence of consecutive words — bigrams, trigrams and beyond — then ranks them by how often they occur. It's the fastest way to spot recurring phrases, stock language, or the multi-word terms that actually define a text's topic, which a single-word frequency count can't show you.

What it measures

Every n-gram (a sliding window of N consecutive words) is counted and shown in a ranked table with four columns: its rank, the n-gram itself, how many times it appears (count), and what percentage of the counted n-grams it represents. Rows are ordered by count, highest first, with alphabetical ordering as a tiebreaker so the same text always produces the same table.

How to use it

1. Paste or type your text into the input box — the table updates live as you type.
2. Adjust the options to focus the results:
   • N-gram size (N) — 2 finds pairs of words (bigrams), 3 finds triplets (trigrams), and so on up to 5.
   • Case sensitive — off by default, so "The" and "the" are treated as the same word inside an n-gram.
   • Ignore stop-word-only n-grams — drops sequences made up entirely of filler words like "of the" or "and the", so the ranking surfaces phrases that carry real meaning.
   • Show top N results — caps how many rows the table displays.
3. Use the copy or download button to export the table as CSV for a spreadsheet or report.

How n-grams are extracted

Text is first split into words using a Unicode-aware rule, so accented and non-Latin scripts are handled correctly, and internal apostrophes or hyphens are kept intact (so don't and well-being each count as one word). N-grams are then built by sliding a window of N words across the token stream, one word at a time, so overlapping sequences are all captured.

Common uses

• SEO and content teams finding the multi-word phrases (long-tail keywords) that dominate a page or article.
• Writers and editors catching repeated phrases or filler expressions.
• Researchers and linguists studying collocations — which words tend to appear together.
• Developers profiling recurring patterns in logs, chat transcripts or generated text.

Is my text private?

Yes. All extraction happens locally in your browser — your text is never uploaded to a server.

Why don't the percentages add up to exactly 100%?

Each percentage is rounded to two decimal places, so a handful of rounded values can total slightly more or less than 100. The underlying counts are always exact.