About The N-Gram Extractor

The N-Gram Extractor finds repeated word sequences in pasted text. Use it to spot common two-word phrases, three-word phrases, repeated support terms, search phrases, documentation wording, or language patterns in drafts and logs.

Extraction runs locally in your browser. The tool tokenizes words, builds contiguous n-grams, counts each phrase, and shows only phrases that meet the minimum frequency.

How to Extract N-Grams Online

1. Paste the text you want to analyze.
2. Choose the N value for phrase length.
3. Set the minimum frequency to hide one-off phrases.
4. Choose whether matching should ignore case.
5. Click Extract N-Grams and review the ranked phrase list.

Choosing Options Correctly

N value:
- Use 2 for repeated short phrases.
- Use 3 or 4 when you need longer wording patterns.
- Use 1 when you want single-word frequency instead.

Minimum frequency:
- Use 2 for normal phrase discovery.
- Raise it for long documents where one-off phrases create too much noise.

Case insensitive:
- Leave it ON for most writing and content analysis.
- Turn it OFF when uppercase/lowercase differences are meaningful.

Common Use Cases

• Find repeated phrases in product copy, release notes, or documentation.
• Extract common search or support-ticket language from pasted text.
• Compare wording patterns before editing a long draft.
• Prepare phrase-frequency notes for SEO or content review.

Quick FAQ

Does this understand grammar?
No. It counts token sequences. It does not know parts of speech, meaning, or sentence grammar.

Does pasted text leave my browser?
No. N-gram extraction is designed to run in the browser.

Why are there no results?
The text may be too short for the selected n-gram size, or filtering may remove too many tokens.

How should I interpret the output?
Use frequent n-grams to spot repeated phrases, topic terms, boilerplate, or keyword patterns.