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Text Keyword Analyzer

A full breakdown of any block of text.

Input

Everything runs in your browser. Nothing you type is uploaded or stored.

Results

Enter your details and press Generate.

Your generated results will appear here, grouped and ready to copy or download.

About this tool

The Text Keyword Analyzer gives a complete structural picture of a block of text: counts, vocabulary variety, dominant phrases and the longest sentences. Everything runs locally in your browser, so the words you paste never leave your device and nothing you research is saved to a server. The tool is built for people who need usable output quickly: creators drafting the next video, bloggers planning a month of posts, marketers grouping phrases before writing briefs, and small business owners who want more descriptive ways to talk about what they sell. Instead of guessing which phrasing a reader might type, you start from a topic you already understand and expand it into a wider, better organised set of phrases you can edit, keep or discard.

How it works

The text is split into words and sentences locally, frequencies are calculated at one, two and three word lengths, and the longest sentences are surfaced as readability flags. There is no hidden scoring model and no third-party data feed behind the results, which means the same input always produces the same output. Every phrase you see is assembled from your own words plus a curated vocabulary of modifiers, question openers, audience qualifiers and structural patterns that appear naturally in real searches and social captions. Because the logic is deterministic you can safely re-run a topic, tweak one option and compare the two lists side by side.

How to use it

  1. Enter your topic, keyword list or text in the input panel on the left.
  2. Adjust the options so the output matches the platform, intent or format you are writing for.
  3. Press Generate and review the grouped results on the right.
  4. Copy everything, copy a single line, or download the list as TXT, CSV or JSON.
  5. Use Reset to clear the workspace before starting a new topic.

Example

A blog draft showing 1,400 words, 480 unique words and a 34-word average sentence tells you to break the sentences up.

Who it’s for

  • Editing a draft before publication
  • Checking vocabulary variety in long content
  • Finding sentences that need splitting
  • Understanding what a page emphasises

Tips for better results

  • Aim for average sentences under about 20 words for web reading.
  • A low unique-word ratio usually means repetitive phrasing.
  • Read the three longest sentences aloud and rewrite them.

Limitations

These are structural measurements, not judgements about accuracy, originality or usefulness. SocialKeywords does not display search volume, cost-per-click, keyword difficulty or trend percentages, because inventing those numbers would be misleading. Treat the output as a well-organised starting point: keep the phrases that match what you can genuinely write about, remove the ones that do not, and validate anything commercially important against a data source you trust.

Frequently asked questions