inspect

Text Frequency

Top characters, words, and n-grams by frequency. Useful for data inspection, cryptanalysis warm-ups, and quick text profiling.

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About Text Frequency

Text Frequency tallies the most common characters, words, and n-grams (bigrams, trigrams) in a block of text and returns them ranked by count. It is handy for profiling an unfamiliar document, spotting filler words in your own writing, or warming up a classic cryptanalysis exercise. Paste your text and everything is counted in the browser, so the content stays on your machine.

Category
inspect
Input
Accepts: text/plain.
Output
Outputs: application/json.
Cost
Free, runs in your browser
Memory
low
Privacy: Text Frequency runs entirely on your device. Files you provide never leave your browser — no uploads, no server, no tracking. The page works offline once loaded.

Common uses

  • Profile a large log or dataset dump to see which tokens dominate before parsing it
  • Find the filler words and verbal tics you overuse across a draft article
  • Run a frequency-analysis warm-up on a substitution cipher to spot the likely 'e'
  • Check keyword density in marketing copy without an SEO subscription
  • Compare the bigram distribution of two writing samples to gauge style
  • Identify the most repeated phrases in survey free-text responses

Frequently asked questions

What is an n-gram?

An n-gram is a run of n consecutive items. A bigram is two words or characters in a row, a trigram is three. The tool reports the most frequent ones so you can see common pairings and phrases.

What format does the input need to be?

Plain text. Paste it directly or drop a text file; the tool reads UTF-8 text.

Does my text get uploaded?

No. The counting happens entirely in your browser, so the text never leaves your device.

What does the output look like?

A JSON object with ranked lists of the top characters, words, and n-grams alongside their counts, ready to read or feed into another tool.

Does it count words the same as 'what is this about'?

No. Frequency answers 'what appears most often', including common words. To pull out topic-bearing nouns instead, use Topic Keywords.

Keywords

  • frequency
  • histogram
  • count
  • words
  • characters
  • ngram
  • bigram
  • trigram
  • analysis
  • text

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