CSV Dummy Generator

Fast, accurate and free online csv dummy generator tool running directly in your browser.

Secure (SSL)

Client-Side Processing

100% Free

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Instructions

1

Enter data
Enter content, paste text or load a file from disk.
2

Click the button
The tool will immediately process your data in the browser.
3

Get the result
Copy the finished text or save the file to your device.

                                                function runTool() {

                                                  return "Result ready in 0.1s";

                                                }

Settings

Column separator

Manner of citation

Columns

Poems

Frequency of null values

Include a headline Tool Option

Result

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CSV Test Data Generator - Faker.js in the Browser

Software testing requires realistic data – databases populated with structured records rather than generic placeholders like "test1" or "user123". Our tool generates customized CSV datasets populated with realistic mock data powered by Faker.js: full names, email addresses, phone numbers, localized IDs, postal addresses, dates, and IP addresses.

CSV test data generator CSV faker dummy data CSV mock dataset generator

Available column data types

Personal: first_name, last_name, full_name, email, phone, age, gender, birthdate, PESEL/SSN. Addresses: street, city, state/voivodeship, zip_code, country, latitude, longitude. Technical: UUID, IPv4, IPv6, MAC address, user_agent, URL, password hash. Financial: fake credit card numbers, IBAN (PL/EU format), price, currency code.

Localization support

Poland (pl): Polish first and last names (Jan, Agnieszka, Kowalski), cities (Warszawa, Kraków, Poznań), phone formats, and postal codes (00-001). English (en-US / en-GB): John, Smith, London, NYC, ZIP codes. Germany (de), France (fr), Spain (es): Localized naming and addressing conventions.

Schema customizer

Add and rearrange columns via drag-and-drop. Customize date ranges (startDate to endDate), numeric bounds (min, max, decimal precision), enum lists ("active|inactive|pending"), and auto-incrementing serial IDs (1, 2, 3...).

CSV format settings

Delimiter: Comma (,), Semicolon (;), or Tab (\t). Header row inclusion: Yes/No. Quote wrapping: All fields or only strings with delimiters. Character encodings: UTF-8, UTF-8 with BOM (ideal for Microsoft Excel), and Windows-1250. Row volume: Generate from 10 to 100,000 records.

Frequently Asked Questions

Does the generated data belong to real individuals?

No. All data is algorithmically generated by Faker.js and represents entirely synthetic mock records, making it 100% GDPR-compliant and safe for testing and staging environments.

How do I import the generated CSV into Python Pandas?

Use standard pandas commands: import pandas as pd; df = pd.read_csv('data.csv', encoding='utf-8'). For European semicolon-delimited CSVs, add sep=';'.

How can I seed SQL databases with the CSV data?

Use standard SQL commands: MySQL LOAD DATA INFILE 'data.csv' INTO TABLE users FIELDS TERMINATED BY ',' or PostgreSQL \copy users FROM 'data.csv' CSV HEADER.