CSV Splitter & Sampler

About CSV Splitter & Sampler

CSV Splitter & Sampler is a powerful tool for handling large CSV files. Split massive datasets into smaller chunks by row count or file size, or extract statistical samples using random or systematic sampling methods—all processed locally in your browser for complete data privacy.

What is CSV Splitter used for?

CSV Splitter divides large CSV files into smaller, manageable chunks. This is useful when you need to process files that exceed size limits of other applications, import data in batches, or share subsets of a large dataset with colleagues.

What's the difference between random and systematic sampling?

Random sampling extracts rows randomly from the entire file, giving each row an equal chance of selection—ideal for statistical analysis. Systematic sampling takes every Nth row (e.g., every 10th row), which is faster and maintains temporal patterns but may introduce bias if data has periodic patterns.

Are headers preserved when splitting?

Yes. When you enable 'First row is header', the header row will be automatically included at the top of every output chunk, ensuring each split file remains a valid, self-contained CSV with column names.

Is my data secure?

Absolutely. All processing happens locally in your browser using streaming APIs. Your CSV files never leave your device, ensuring complete privacy for sensitive data like customer lists, financial records, or proprietary datasets.

Can I split files by exact size?

The 'By File Size' mode splits files to approximately match your target size in megabytes. Due to CSV structure (rows cannot be split mid-way), the actual file sizes may vary slightly but will be close to your specified target.

What happens with very large files?

The tool uses streaming technology to process files of any size without loading the entire file into memory. This allows you to split multi-gigabyte CSV files efficiently, even on devices with limited RAM.