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

Day & Time Reference Extractor

List weekdays, dates, and time phrases for timeline continuity checks.

Runs in your browser. Results can be saved so you can reopen them when signed in — guests are nudged after a couple of uses.
0 words 0 chars < 1 min
Ctrl+Enter

Paste your text above, then click Analyze — or try Sample.

About this tool

Timeline errors break reader trust — two Mondays in a row, or a scene that jumps from dawn to midnight without transition. This day and time reference extractor lists every weekday, date, and time phrase with line numbers for continuity review.

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 chapter or full manuscript.
  2. Click Analyze to extract temporal references.
  3. Review the table sorted by line number.
  4. Cross-check your story calendar for contradictions.
  5. Fix timeline errors before beta readers catch them.

Tips for fiction authors

  • Create a story calendar as a separate document. Map each chapter to a specific day and time range, then compare against extracted references.
  • AI models lose track of elapsed time in long stories. The most common error is two consecutive scenes on the same weekday that should span days.
  • Sunrise and sunset times change by season. If your story spans months, check that a "dawn" scene in December does not happen at 5 AM.
  • Travel time is another common AI error. If your character drives six hours, the time of day should shift accordingly.

Common questions

What time references does it find?

Weekday names, common date patterns, and phrases like "midnight," "dawn," and "three o'clock."

Can it build a full timeline automatically?

It extracts references for manual review — it does not infer elapsed story time.

Why do AI drafts have timeline bugs?

Long-context models lose track of day names and elapsed time. Extraction makes review faster.

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