How many rows can Google Sheets handle per import?

Google Sheets supports up to 10 million cells per spreadsheet. A CSV with 50 columns should stay under 200,000 rows to avoid hitting cell limits and performance degradation.

Can I automate CSV splitting as part of a Make or Zapier workflow?

Deliteful currently requires a manual upload step. For fully automated pipelines, use the split output files as the input to your downstream automation steps.

Does the tool work with CSVs that have many columns?

Yes. The row count limit applies regardless of column count. However, note that spreadsheet cell limits are rows × columns, so fewer rows per chunk may be needed for wide CSVs.

Are output files safe to import directly into Excel?

Yes. Output files are UTF-8 encoded CSVs. Excel may prompt you to confirm encoding on import — select UTF-8 to ensure special characters render correctly.

Split CSVs Into Excel-Ready Chunks for Spreadsheet Automation

Google Sheets caps imports at roughly 10 million cells; Excel becomes unstable with CSVs above 500,000 rows. When your automated reporting pipeline produces exports that exceed these limits, the downstream spreadsheet step breaks. Splitting the CSV at a fixed row count before the import step keeps your automation running.

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Spreadsheet automation workflows — whether built in Zapier, Make, or custom scripts — often include a step that opens or imports a CSV into a spreadsheet for formatting, pivot tables, or distribution. When the source CSV grows beyond the spreadsheet tool's comfortable range, the automation silently fails or produces a truncated output. Building a split step into the pipeline upstream prevents this class of failure.

Deliteful performs the split with no local software required. Set a row limit that leaves headroom below your spreadsheet tool's cap — 50,000 rows per chunk works well for Google Sheets — and download numbered output files that are immediately importable. Each file includes the original header row, so import mappings and named ranges resolve correctly.

How it works

1
Identify your spreadsheet tool's row limit
Google Sheets handles up to ~400,000 rows comfortably; Excel works best under 500,000 rows for most operations.
2
Upload the oversized CSV and set your row limit
Enter a max row count that gives your spreadsheet tool comfortable headroom — 50,000 is a safe default for most automation workflows.
3
Import each chunk into your spreadsheet
Each output file includes the header row and is numbered sequentially, making batch imports into separate sheets or tabs straightforward.

Frequently asked questions

How many rows can Google Sheets handle per import?: Google Sheets supports up to 10 million cells per spreadsheet. A CSV with 50 columns should stay under 200,000 rows to avoid hitting cell limits and performance degradation.
Can I automate CSV splitting as part of a Make or Zapier workflow?: Deliteful currently requires a manual upload step. For fully automated pipelines, use the split output files as the input to your downstream automation steps.
Does the tool work with CSVs that have many columns?: Yes. The row count limit applies regardless of column count. However, note that spreadsheet cell limits are rows × columns, so fewer rows per chunk may be needed for wide CSVs.
Are output files safe to import directly into Excel?: Yes. Output files are UTF-8 encoded CSVs. Excel may prompt you to confirm encoding on import — select UTF-8 to ensure special characters render correctly.

Create your free Deliteful account with Google and start splitting oversized CSVs into spreadsheet-ready chunks today.