Task workflows for Data Tools

Use these when you want a sequence of tools for one upload, import, print, or cleanup job.

All workflows

Choose the right tool

Start from the job and source material

  1. 1Identify the source format, delimiter, header row, key column, and expected output before choosing a converter.
  2. 2Use comparison and validation tools before destructive cleanup when row identity or import readiness matters.
  3. 3Keep large or sensitive files local and use the destination system's template as the final contract.

Before handoff

Check the result in its real destination

  • Reconcile row counts, headers, keys, and excluded-record reports before importing or sharing.
  • Open the downloaded result in the receiving application and test representative rows, quoted values, dates, and identifiers.

Split CSV

Split a large CSV into smaller CSV files by row count in a local browser worker.

CSV to JSON

Paste or upload CSV and download formatted JSON objects built from the header row.

JSON to CSV

Paste JSON and download a CSV with object keys turned into column headers.

CSV Column Cleaner

Paste a CSV, keep only selected columns, and download the smaller CSV.

CSV Diff by Key

Compare two CSV files by a key column and see added, removed, and changed rows.

CSV Merge by Key

Join two CSV tables by a shared key and download the merged rows.

Free AR Aging Report Generator from CSV

Load the worked example or turn your open-invoice CSV into aging buckets, customer summaries, and downloadable reports.