Podcast Episode Rundown
Turn segment word counts, speech pace, music and pauses into chapter timestamps and a target-runtime comparison.
- 1List your segments
- 2Read the answer as you type
- 3Download or print it
Loading the worked example…
Assumptions
Results update as you type. Example figures are illustrative.
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.
Detailed analysis
Exports include all results, regardless of the search filter. The HTML report includes assumptions and source data; use your browser’s Print command for PDF.
Chart shows the first 20 rows; negative values use a warm color. Click table headers to sort.
Compare up to four scenarios
Capture the current inputs, change assumptions and capture again. Scenarios are included in downloaded projects.
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.
- Set your target episode length.
- List each segment with words, pace, music seconds and pauses.
- Read the runtime and chapter times beside your table, then download them.
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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