Split CSV by rows without scripts or coding

Many databases, SaaS tools, and import wizards accept CSV files only up to a certain number of rows. If your export exceeds that limit, you need a deterministic way to cut it into smaller parts.

DataForge lets you treat row count as a parameter instead of a headache. Upload your CSV, verify in the preview that delimiter, encoding, and header row are detected correctly, and then set a target number of rows per file (for example, 50,000 or 100,000). The server processes the file and produces a series of outputs that respect that limit while preserving the structure of the data. Each output file includes the same header row, and rows are never split in the middle. This makes it easier to script downstream imports or feed the files into pipelines that expect consistent batch sizes. Once you have downloaded what you need, you can use the delete action in the tool to remove the temporary files from the server.

FAQ

How should I choose the number of rows per file?

It depends on the limits and performance characteristics of your downstream tools. For Excel, many users stay in the tens or low hundreds of thousands of rows to keep workbooks responsive. For bulk imports into databases or SaaS platforms, pick a value that stays under their documented limits and matches your batch size strategy.

Will each split CSV keep the header row?

Yes. When you split by rows, DataForge keeps the same header row at the top of every output file. Each file can be opened or imported independently without losing column context.

Can I re-run the split with a different row limit?

Yes. You can change the rows-per-file setting and run another conversion on the same source file to see how different batch sizes behave in your pipeline. When you are done with a particular set of outputs, delete them from the server using the built-in action before running a new configuration.