Manuscript Analysis Free · in-browser · optional cloud history

Word Frequency Finder

Rank repeated non-stopwords and phrases — spot AI padding and overused verbs before a line edit.

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Runs in your browser. We don’t use your drafts to train models.
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Paste your text above, then click Analyze — or use Try sample for a quick demo.

Related tools

Word Echo Finder Cliché & Overused Phrase Finder Filter Word Finder Manuscript Cleanup Report

About this tool

Repeated words jar readers and signal AI-generated padding — the same verb appearing forty times in a chapter. This word frequency finder lists the most common non-stopwords in your manuscript with counts and percentage of total text, so you can spot overused nouns, verbs, and adjectives. Paste from Story Studio or any export; ranking runs in your browser with no server upload.

What you can do

  • Ranked list of most frequent content words with counts and percentages
  • Stopword filtering so "the" and "and" do not dominate results
  • Surfaces AI-favorite verbs like nodded, sighed, and smiled
  • Works on chapters or full manuscripts for series-wide vocabulary audit
  • Percentage threshold guidance for spotting overuse above 1%
  • Fast re-scan after synonym swaps during revision
  • Complements word echo finder for paragraph-level repeats

Why manuscript analysis matters for fiction

Rule-based analyzers catch patterns human eyes skim past—especially in AI drafts where filter words, adverbs, and passive voice cluster predictably. Use metrics to prioritize revision, not to flatten your voice. Run a chapter first, fix the worst offenders, then scan the full manuscript.

Five-pass revision order · AI manuscript editing · Manuscript cleanup

How to use it

  1. Paste your chapter or full draft into the analyzer.
  2. Click Analyze to rank word frequency across the paste.
  3. Look for non-theme words appearing over 1% of the time.
  4. Search your manuscript for those words and vary vocabulary.
  5. Re-run after revision to confirm repetition dropped.

Tips for fiction authors

  • Expect character names and key setting nouns to appear frequently — that is normal. Focus on verbs and adjectives that repeat without purpose.
  • AI models often repeat "nodded," "sighed," and "smiled" dozens of times. This tool catches those patterns instantly.
  • If a non-character word appears over 1% of your total text, it is likely overused and worth varying.
  • Use this tool to build a personal "overuse" list. Every writer has favorite words — knowing yours makes editing faster.
  • Run word frequency on your entire novel before KDP — repetition that feels invisible chapter-by-chapter shows up clearly at book scale.

Related guides

Why AI Writes Every Character Wanting the Same Thing How to Use AI to Diagnose and Fix Sentence-Level Monotony Why AI Resolves Every Scene's Emotional Beat Too Neatly Use AI to Find Where Scenes Overstay Their Welcome

Common questions
Why exclude stopwords?

Common words like "the" and "and" dominate every text. Filtering them surfaces meaningful repetition.

What repetition is a red flag?

The same content word appearing more than about 1% of total words often indicates AI looping or author crutch vocabulary.

Can I use this for character names?

Yes — though the Proper Noun Extractor is better for capitalized names and places with export.

Is my manuscript uploaded?

No. Word frequency analysis runs entirely in your browser on Entangled Text.

How is this different from the word echo finder?

Word frequency shows book-wide repetition. Word echo finder catches the same word twice within a short window in one paragraph.

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