LIBRARIES & COLLECTIONS · PLAN, COMPARE, EXPORT

Archive File Naming Builder

Generate consistent archival filenames from collection, container, item and date fields and detect collisions.

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

Produces names only; does not rename files. Non-ASCII characters and punctuation are converted to hyphens; review normalized names for lost distinctions.

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 Archive File Naming Builder

Generate consistent archival filenames from collection, container, item and date fields and detect collisions.

  1. Review the preloaded example and the model limits before entering real data.
  2. Adjust item-number digits, letter case.
  3. Edit the collection 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 History, History.
Change the first item-number digits setting and compare the result with a saved baseline.

Questions & answers

What does Archive File Naming Builder calculate?

Generate consistent archival filenames from collection, container, item and date fields and detect collisions.

What are the important limitations?

Produces names only; does not rename files. Non-ASCII characters and punctuation are converted to hyphens; review normalized names for lost distinctions.

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?

collection, box, folder, item, date, extension. 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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