CSV Random Sampler

What is a random CSV sample?

A random sample pulls a fixed number of rows out of a larger dataset without any bias toward the top, bottom, or a particular value — useful for spot-checking data quality, building a smaller test fixture, or getting a quick manual look at what a large CSV actually contains without opening the whole thing.

How this tool works

1. Paste your CSV data, or upload a .csv file.
2. Choose the delimiter (comma, semicolon, tab, or pipe) and whether the first row contains headers.
3. Set how many rows to sample.
4. Click Sample rows to get a fresh random selection — the header row (if present) is always kept and never counted toward the sample size, and the sampled rows stay in their original order for easier reading.

Because sampling is random, running it again with the same input gives a different result each time — that's the point of a button instead of a live-updating output.

Handling quoted fields

Parsing follows RFC 4180: fields wrapped in double quotes can safely contain commas, newlines, and escaped "" quotes — this isn't a naive split on the delimiter character.

If the sample size is larger than the data

If you ask for more rows than the CSV actually has, every data row is returned instead of erroring out.

Common uses

• Spot-checking a large CSV export for data quality issues
• Building a small, representative test fixture from a production dataset
• Getting a quick sense of a dataset's shape without opening the full file

For column-level work instead of row sampling, see the CSV Column Extractor. To reformat or re-delimit a CSV file, see the CSV Formatter.

Privacy

This tool runs entirely in your browser. Your data is never uploaded to a server.