What column types are supported?

Four: name (a random first + last name), number (a random decimal), bool (true/false), and date (a random ISO 8601 date between 2015 and 2030).

How does the tool handle commas or quotes inside a cell?

Any cell value is wrapped in double quotes (with internal quotes doubled) if it contains a comma, a quote character, or a newline, following the same escaping rule RFC 4180 describes for CSV.

What does the header row look like?

Each header cell is the column type followed by its 1-based position, e.g. name_1, number_2, so you can tell at a glance which generator produced each column without needing real domain-specific field names.

How many rows and columns can I generate?

Up to 500 data rows and 10 columns per request, which keeps generation instant while still being enough for most fixture and testing needs.

Random CSV Generator - Sample Rows for Testing & Fixtures

Overview

Introduction

Testing a CSV importer, spreadsheet template, or data pipeline usually needs a realistic-looking sample file, not a hand-typed one — this tool generates one on demand with the column types you choose.

It produces a header row followed by as many random data rows as you ask for, properly quoted per the CSV escaping rules.

What Is Random CSV Generator?

A random tabular-data generator producing comma-separated values instead of accepting CSV as input.

You choose the number of rows and, for each column, one of four types: name, number, bool, or date.

How Random CSV Generator Works

For each configured column, the generator produces one random value per row using a small, type-specific rule: names are drawn from first/last name lists, numbers are random decimals, booleans are true/false, and dates are random ISO dates in a fifteen-year range.

The header row is built from the column type and its position, and every cell (header or data) is passed through the standard CSV quoting rule: wrap in double quotes and double any internal quote if the cell contains a comma, quote, or newline.

When To Use Random CSV Generator

Use it to generate a quick test file for a CSV import feature, spreadsheet macro, or ETL pipeline.

It's also handy for populating a demo dataset when you need tabular sample data but don't have (or don't want to use) real records.

Often used alongside Random TSV Generator, Random HTML Table Generator and Random JSON Generator.

Features

Advantages

Column types map directly onto common spreadsheet data — text, numbers, booleans, and dates.
Escaping follows the standard CSV quoting convention, so the output round-trips through any conforming CSV parser.
Row and column counts are both configurable up front, so you can size the output to your test case.

Limitations

Names are drawn from a small fixed list of historical computing figures, not a large realistic name corpus — expect repeats in bigger runs.
There's no option for custom column names or nested/structured cell values; every column is one of the four fixed scalar types.

Examples

Two rows, three typed columns

Input

(no input; generated from settings)

Output

name_1,number_2,bool_3
Ada Lovelace,482.15,true
Alan Turing,17.4,false

A single date column

Input

(no input; generated from settings)

Output

date_1
2021-06-14

Best Practices & Notes

Best Practices

Match the column types to what your importer actually expects (e.g. use date columns to test date-parsing edge cases).
Generate a larger row count (100+) when you specifically need to test performance or pagination, not just shape.

Developer Notes

Row and column generation is factored into a shared tabular helper reused by the TSV generator, so both tools produce identical row data and differ only in the delimiter and per-cell escaping rule applied at the very last step.

Random CSV Generator Use Cases

Testing a CSV file upload/import feature end to end
Generating a quick sample dataset for a spreadsheet template
Producing fixture data for a data pipeline or ETL job test

Common Mistakes

Forgetting that generated names can repeat since they're drawn from a small fixed list, which can look odd in a supposedly unique-ID column.
Opening the raw output directly in a locale where the decimal or list separator differs from a plain comma — re-import through a locale-aware tool if needed.

Tips

Use the bool column type to specifically test how your importer handles true/false vs. 1/0 conventions.
Pair with the TSV generator if your target system prefers tab-delimited files instead.

Random CSV Generator