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WF-CSV01

Universal CSV Cleaner

A safe cleanup pass for messy spreadsheet exports. Start with the browser-local demo, then move to the authenticated upload path when you are ready for hosted execution.

CSV Cleanupcsvcleanupspreadsheetdata hygiene

Workflow code: WF-CSV01

Universal CSV Cleaner is the baseline cleanup workflow for teams receiving inconsistent spreadsheet exports. It is designed for low-risk file normalization work such as trimming noise, removing empty structures, and preparing a cleaner handoff file.

Points estimate: Estimated usage: low point cost for standard-sized files.

Privacy note: Uploaded files remain private to the account owner and are not shared with creators by default.

Who it is for

  • Operations teams receiving CSV exports from multiple systems.
  • Analysts who need a cleaner starting point before reporting.
  • Customer success teams tidying client-provided data files.

Input requirements

  • CSV input only for the MVP path.
  • Use a plain tabular file with one header row.
  • Best for files that need whitespace cleanup and structural cleanup.

Output

  • A cleaned CSV output for download.
  • A compact report summarizing cleanup actions and data shape changes.

Limitations

  • Does not call external APIs or enrich records.
  • Does not rewrite business logic or infer missing columns.
  • Execution is not active in this local catalog phase.

Workflow access

Universal CSV Cleaner

This page explains the workflow scope before you commit to a run. Universal CSV Cleaner already supports a browser-local demo plus an authenticated hosted path. Other workflows remain catalog-first until their hosted execution path is ready.

Open demo or run pathGo to authenticated upload

Browser-local demo access stays visually separate from the hosted upload and paid-run flow. Account access, points, and private output delivery begin only on the hosted path.

FAQ

Does this workflow run right now?

Not yet. The catalog currently presents workflow metadata and detail pages only.

What kinds of cleanup are expected later?

The MVP direction is focused on safe CSV cleanup such as trimming whitespace, removing empty rows, and producing cleaner exports.

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