Generate fake users as CSV, JSON or SQL INSERTs — up to 100,000 rows via Web Workers.
Business
Marketing
HR
Output headers: ID, Username, Email
Intentionally mess up a share of the generated rows so you can practice cleaning the data in Excel or Sheets.
Enable this to generate fully-empty rows and id-colliding duplicates so the CSV Cleaner buttons can be tested.
Convert data both ways.
Pretty-print, minify & validate JSON.
Count words, chars & case.
Built with privacy in mind. All processing happens entirely in your browser using open-source libraries.
A dummy data generator creates realistic-looking fake records for testing, demos and mockups. Pick the fields you need, choose a locale, and generate users as JSON, CSV or SQL INSERT statements without inventing a single record by hand.
Developers and QA teams constantly need sample data, and generating it in the browser keeps test data off any server. For large requests, a Web Worker produces up to 100,000 rows without freezing the page. Turn on Relational data to create linked users and orders tables, and use Dirty Data (Practice) mode to add realistic typos for cleaning exercises.
Yes. Tick Relational data (orders linked to generated users) and the generator adds an orders table (order_id, user_id, product, amount, order_date, status) whose user_id values reference the generated users, in CSV, JSON or SQL output.
Yes. The Dirty Data (Practice) section lets you set a Dirty Percentage (0/10/25/50%) and choose the Dirty Types — Missing Values, Typos, Number Typos, Case Errors and Extra Spaces — and optionally allow missing values in ID columns.
Yes, free with no signup or limits.
Generation runs in a Web Worker, so the page stays responsive and memory is managed in chunks.
JSON, CSV and SQL INSERT statements, with PostgreSQL, MySQL and SQL Server dialects.