N-Gram Extractor

A contiguous sequence of n items (words or characters). Unigrams = single words, bigrams = pairs, trigrams = triples. N-grams are foundational to NLP and language modeling.

Word n-grams are sequences of words ("machine learning" is a word bigram). Character n-grams are character sequences — especially useful for language detection and fuzzy matching.

Type-token ratio — the percentage of unique n-grams relative to total. Higher = more lexical variety; lower = repetition. A classic measure in corpus linguistics.

Yes, the N-Gram Extractor is 100% free with no registration, no hidden fees, and no usage limits. All processing happens locally in your browser, ensuring complete privacy.

Absolutely. The N-Gram Extractor processes everything client-side in your browser. No data is uploaded to or stored on any server. Your content remains private on your device at all times.

Yes, the N-Gram Extractor is fully responsive and works on smartphones and tablets. You can use it on any device with a modern web browser -- no app download required.

No account or registration is needed. Simply open the N-Gram Extractor in your browser and start using it immediately. There are no sign-up walls or usage restrictions.

Yes, the N-Gram Extractor handles text of any length with fast, real-time processing. Since everything runs in your browser, performance depends on your device but works well for most use cases.

Simply enter your input in the provided field, adjust any settings to your preference, and the tool will process it instantly. You can then copy the result to your clipboard or download it.

The N-Gram Extractor works in all modern browsers including Chrome, Firefox, Safari, Edge, and Opera. For the best experience, use the latest version of your preferred browser.

Stop words are common function words like "the", "of", "and", and "to" that appear constantly but carry little meaning. If you leave them in, your top bigrams and trigrams fill up with combinations like "of the" and "in the" that drown out the phrases you actually care about. Turning on the remove stop words option drops these tokens before counting, so meaningful sequences such as "natural language processing" rise to the top of the ranking. This is especially useful for SEO keyword analysis and theme detection, where you want the substantive phrases, not the grammatical glue. For raw linguistic or stylometric work you may want to keep stop words in, since their frequency is itself a signal. Toggle the option in this tool and watch the rankings update instantly to compare both views.

All three are word n-grams; the number just sets the sequence length. Unigrams are single words, so their frequency table is essentially a word-count list that shows which terms dominate a text. Bigrams are two-word pairs like "machine learning" and start to reveal phrases and collocations rather than isolated words. Trigrams are three-word runs such as "natural language processing" and capture even more specific recurring expressions, though counts drop as length grows because longer exact matches are rarer. In short, smaller n-grams show vocabulary, larger ones show phrasing. This tool also supports quadgrams and 5-grams for spotting repeated long phrases or boilerplate. Switch between sizes one to five using the tabs and compare how the rankings shift to pick the level that best fits your analysis.

By default this tool does not let an n-gram span a sentence boundary, so the last word of one sentence is never paired with the first word of the next. This prevents unrelated words from being glued into phrases that never really occur together, which keeps bigram and trigram counts accurate for phrase analysis. When you enable the allow cross-sentence n-grams option, sequences are counted straight across the whole text regardless of periods, so you get more total n-grams and some new pairs that bridge sentence breaks. Use the default for clean phrase and collocation work, and enable cross-sentence counting when you want raw sequence statistics over the entire document, such as for certain language-modeling experiments. Toggle it here and the totals and rankings recalculate immediately so you can see the effect.

After analyzing your text, use the download buttons to save the full results as either CSV or JSON. The CSV file opens directly in Excel, Google Sheets, or Numbers with columns for the n-gram, its count, and its percentage share, ready for sorting, charting, or pivot tables. The JSON file is structured for code and includes the n-grams alongside summary figures like total, unique, and the diversity ratio, which makes it easy to load into Python, R, or a Node script for deeper analysis. Although the on-screen table caps at 500 rows for performance, the exported files always contain the complete list of every n-gram found, so nothing is lost. You can also copy results to the clipboard for a quick paste. Run your text through this tool and download the format that fits your workflow.

It is accurate as a literal frequency counter: it reports exactly how many times each word and phrase appears and what share of the total each represents, which is the honest basis of keyword density. The percentage column tells you whether a target phrase shows up often enough to signal relevance or so often that it reads as keyword stuffing. For trustworthy SEO results, enable remove punctuation and fold case together so variants like "Apple" and "apple." are counted as one token, and consider removing stop words to surface real topic phrases. Remember that frequency alone is not a ranking factor; modern search engines weigh context and intent, so treat these counts as a diagnostic, not a quota. Paste your draft or competitor page here, check the bigram and trigram tables, and adjust your wording with confidence.