Developer & data utilities

Split CSV

Split a large CSV into smaller files by row count (ZIP).

Run Split CSV online

In-browserDocument processing runs on your device. External resources may still load.

Enable JavaScript to use the interactive tool. Read the instructions, limitations and FAQs below before starting.

Splitting a large CSV file into smaller chunks is essential for data processing workflows where individual tools, databases, or APIs have row count or file size limits. Most database bulk loaders, email marketing platforms, and API batch endpoints have limits on the number of records per import — splitting a large CSV into chunks that respect these limits is the standard workaround.

This tool splits your CSV into a specified number of files, or into chunks of a specified number of rows. The header row is automatically preserved in each output file so each chunk is a complete, self-contained CSV — not just a fragment. All output files are bundled in a ZIP archive for download.

Common scenarios include splitting a 500,000-row customer database export into 10,000-row chunks for a CRM import, splitting a large analytics CSV into manageable Google Sheets files (which have a 5 million cell limit), and splitting a product inventory CSV for staged batch uploads.

How to use this utility

  1. Use the controls below—paste text, pick files, or adjust options as described on the tool.
  2. Click the main action button. Processing runs in your browser on this device.
  3. Download or copy the output. Check the processing note for any external services used by this operation.

Common use cases

  • Splitting a 100,000-row customer export into 10 files of 10,000 rows each for a CRM batch import.
  • Dividing a large product catalogue CSV into smaller files for staged uploads to an e-commerce platform.
  • Splitting an analytics dataset into chunks for uploading to Google Sheets or Excel.
  • Dividing a bulk email list into segments for separate campaign scheduling.
  • Splitting a data migration CSV into chunks to meet a database bulk loader's row limit.

Tips for best results

  • 1Always verify that the header row appears in each output chunk — a chunk without headers will break most import tools.
  • 2For even distribution, split by row count rather than number of files — this ensures each recipient of a chunk gets the same workload.
  • 3After splitting, open the first and last chunk to verify the header integrity and data continuity.
  • 4For ordered data (e.g., sorted by ID), the chunks will maintain the sort order — important for sequential import workflows.
  • 5If your CSV has quoted multi-line fields, verify the splitter handles them correctly — naive line-count splitting can break quoted fields that span multiple lines.

Frequently asked questions

Is Konnect2Tools free?
Yes. These in-browser tools are completely free to use with no account required for core functionality.
Do my files leave my device?
Browser document operations run locally, except where the operation uses an external service, such as AI summarisation. Read the processing note before using sensitive inputs.
Is the Split CSV tool safe to use?
Local operations process document content on your device. External-service operations may send inputs as described in the processing note. Keep originals and inspect the output.
Does the tool include the header row in every output chunk?
Yes — the header row is automatically prepended to every output chunk so each file is a complete, importable CSV.
What is the maximum file size I can upload for splitting?
CSV files up to 100 MB are supported for browser-based splitting. Larger files should be processed using server-side mode, which handles files up to 500 MB.
Can I split based on a specific column value (e.g., split by region or department)?
The current tool splits by row count or file count. For value-based splitting (grouping rows by a column's value into separate files), use a script with Python's pandas or a dedicated CSV splitter with filter support.
How many output files can the splitter generate?
Up to 100 output files per operation. For very large CSVs that need more splits, process the original file in stages.

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