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Podcast Episode Rundown

Turn segment word counts, speech pace, music and pauses into chapter timestamps and a target-runtime comparison.

Local calculationsEditable projectsCSV & reports
  1. 1Explore the example
  2. 2Edit your assumptions
  3. 3Compare & export

Loading the worked example…

Your working data

Edit cells directly or import a CSV. Download “Input CSV” for the required column names. Up to 200 rows; scroll the table sideways for additional fields.

What this model includes

Speech duration is words ÷ pace. Music-only and pauses add runtime; music beneath speech should be entered as zero here. No audio processing or transcript analysis.

Import and save safely

CSV imports use your current assumptions. Project files restore assumptions, rows and saved scenarios. No automatic saving: download a project before closing this page. Imports are limited to 10 MiB and 200 rows. Calculations run in your browser; the site’s advertising and analytics follow its privacy policy.

Using Podcast Episode Rundown

Turn segment word counts, speech pace, music and pauses into chapter timestamps and a target-runtime comparison.

  1. Review the preloaded example and the model limits before entering real data.
  2. Adjust target episode minutes.
  3. Edit the segment rows or import a CSV using the Input CSV column template.
  4. Open Results & chart to inspect details, sort columns and filter rows.
  5. Capture alternative scenarios, then download a project, result CSV or printable report.

Example

The worked example includes Welcome, Main conversation, Listener questions, Closing.
Change the first target episode minutes setting and compare the result with a saved baseline.

Questions & answers

What does Podcast Episode Rundown calculate?

Turn segment word counts, speech pace, music and pauses into chapter timestamps and a target-runtime comparison.

What are the important limitations?

Speech duration is words ÷ pace. Music-only and pauses add runtime; music beneath speech should be entered as zero here. No audio processing or transcript analysis.

Can I continue my work later?

Yes. Save a project JSON file and reopen it with Import CSV / project. It contains the working data, assumptions and up to four scenarios. Nothing is saved automatically.

What CSV columns do I need?

segment, words, pace, music, pause. Download Input CSV for a compatible example. CSV imports keep your current assumptions.

Are these example figures current industry benchmarks?

No. They are illustrative values to demonstrate the model. Replace them with figures appropriate to your situation.

Can I export chapter timestamps?

Yes. Results & chart includes Download chapter timestamps. This text file contains estimated segment start times and titles; verify against your final edited audio.

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