What N-gram Generator helps you do

Build consecutive word n-grams for language, SEO and pattern review. An n-gram is a run of n adjacent words, and seeing them helps you spot repeated phrases and common constructions. The output is every consecutive group, one per line, not a ranked list.

N-gram generation runs in your browser; no text is uploaded to Haivix.

How it works

These tools scan the pasted text in the browser with a pattern or parser and return the matches in first-seen order. Extraction is a candidate list, not a verification step: an email-shaped string may not be deliverable, a URL may not resolve, and a number may be part of a date or an identifier. Nothing is uploaded, and the source text is never changed. The result is a snapshot of the pasted text; editing the source afterwards does not update the list.

How to use N-gram Generator

Paste the text and choose the n-gram size, such as two for bigrams.
Generate every consecutive group of that size.
Check the count and scan for repeated phrases.
Copy the list for frequency or SEO review.

When to use it

Find repeated two-word or three-word phrases in copy.
Analyze common constructions in a body of text.
Prepare phrase data for SEO or language study.
Spot overused transitions in a draft.
Compare phrasing between two versions of a text.
Feed phrase data into a frequency tool.
Review repeated openings in a set of headlines.

When not to use it

Do not use it on a very large text and expect a short output.
Do not expect ranking or scoring; it lists every group.
Do not use it for character n-grams; it works on words.

Example

The sentence the quick brown fox with a bigram size of two yields the quick, quick brown and brown fox. With a size of three, it yields the quick brown and quick brown fox. A text with fewer words than the chosen size returns the words it has.

What you can do with N-gram Generator

Generate word n-grams from 1 to 8 words.
Output every consecutive group in order.
List one n-gram per line.
Handle short texts by returning the available words.
Copy the list for frequency or SEO review.
Run the generation locally with no upload.

Example: check the matches on a sample

Paste a short sample first and count the expected matches by eye. Compare that count with the result before running a large file, because a missing match is easier to spot in a small sample.

Read a few matches in context to catch false positives. A phone-like number inside an order ID, or a URL inside a code snippet, is common and should not be treated as a contact or a live link.

Copy the list and keep the original. If the extraction feeds a mail merge or a report, verify a sample of the destinations rather than assuming every match is valid.

If the result is empty, check the input format before assuming the tool is broken. A bare domain without http, an address split across a line, or JSON with a trailing comma are common reasons for no matches.

For a list that will be contacted or published, keep the source and the extracted list side by side. The source is the only way to resolve a questionable match or explain why one was missed.

What to know before you start

Output grows quickly with text length and n-gram size, so very large inputs are unwieldy.
It is a structural tool and does not score or rank the phrases.
It works on words, not characters.
It does not filter stop words or deduplicate the output.

Common mistakes

Expecting a ranked or filtered list.
Generating a large n on a short text and getting little output.
Forgetting that punctuation separates words.
Treating every repeated bigram as a problem.

Troubleshooting

If the output is shorter than expected, the text has fewer words than the n size.

If phrases look broken, punctuation or line breaks separated the words.

If the list is huge, reduce the text or the n size.

If a phrase repeats, that is expected; the tool lists every occurrence.

N-gram Generator