Consistency & QA Free · in-browser · optional cloud history

Proper Noun Extractor

Proper noun list from a fiction manuscript: character and place names, sorted, with a CSV export. It stays in your browser.

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Runs in your browser. We don’t use your drafts to train models.
0 words 0 chars < 1 min
Ctrl+Enter

Paste your text above, then click Analyze — or use Try sample for a quick demo.

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About this tool

Build a cast and location index from your draft without manual spreadsheet work. This proper noun extractor lists every capitalized name and place with occurrence counts — useful for series bibles, editor style sheets, and catching names that appear only once (possible typos). Paste your manuscript from Story Studio or any AI export; extraction and CSV export run in your browser.

What you can do

  • Sorted proper noun list with occurrence counts per name
  • Filters common sentence starters like "The" and "Chapter"
  • Multi-word capitalized phrases for place names and titles
  • Export CSV button for Excel, Google Sheets, or series bible import
  • Singleton names highlighted as possible typos or cut characters
  • Works on full novels, series drafts, and single chapters
  • Complements name variant detector for spelling consistency

Continuity checks across long manuscripts

Series bibles, name-variant lists, and POV slip detectors address the main failure mode of AI long-form writing: drift. Names change spelling, timelines compress, and point of view wobbles. Log facts as you write and re-scan after every major revision pass.

Story bible guide · Character consistency workflow

How to use it

  1. Paste your manuscript into the text area.
  2. Click Analyze to extract proper nouns with counts.
  3. Review the sorted name list — check singletons for typos.
  4. Click Export CSV to copy name,count data for spreadsheets.
  5. Cross-reference with your series bible or share with your editor.

Tips for fiction authors

  • Names that appear only once are likely typos, especially in AI drafts. Check every singleton against your character list.
  • Export the CSV and sort by count. Your protagonist should have the highest count. If a side character ranks higher, they may be stealing the story.
  • Use the name list to create a style sheet for your editor. Include pronunciation notes for invented names.
  • Fantasy and sci-fi authors should check for name collisions — two characters whose names start with the same letter confuse readers.
  • Import the CSV into your Entangled Text series bible workflow so Story Studio context uses consistent spelling.

Related guides

How to Build a Story Bible That AI Models Actually Follow How to Use AI to Give Characters Contradictory Core Beliefs How to Design Climate Disasters That Reshape Culture Use AI to Design Legal Systems That Create Conflict

Common questions
What counts as a proper noun?

Capitalized words and multi-word capitalized phrases, excluding common sentence starters like "The" and "Chapter."

Can I export the list?

Yes. Click Export CSV to copy name,count data for Excel or Google Sheets.

How is this different from name variant detection?

This lists all proper nouns. The name variant tool groups similar spellings that may be typos.

Is my manuscript uploaded?

No. Proper noun extraction runs entirely in your browser on Entangled Text.

Why do singleton names matter?

A name that appears once often indicates a typo, a cut character, or an AI-introduced name never used again.

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