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Museum Label Text Planner

Prepare object-label copy and check description length and estimated line counts before layout.

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

Character-based line estimate, not font measurement. Input fields allow up to 500 characters; inspect final printed typography separately.

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 Museum Label Text Planner

Prepare object-label copy and check description length and estimated line counts before layout.

  1. Review the preloaded example and the model limits before entering real data.
  2. Adjust description word limit, approximate characters/line.
  3. Edit the object title 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 Village map, Handwoven basket.
Change the first description word limit setting and compare the result with a saved baseline.

Questions & answers

What does Museum Label Text Planner calculate?

Prepare object-label copy and check description length and estimated line counts before layout.

What are the important limitations?

Character-based line estimate, not font measurement. Input fields allow up to 500 characters; inspect final printed typography separately.

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?

title, creator, period, description. 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.

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