Build realistic fake test data from the fields you choose, as JSON, CSV or SQL inserts.
The same seed always produces the same rows, so a fixture stays stable between runs. Change it for fresh data.
Name each field the way your schema does and pick a type from the list. There are twenty four types covering people, places, dates, numbers and text.
Set how many rows you need and pick JSON for API fixtures, CSV for a spreadsheet or import, or SQL for insert statements you can run straight against a database.
The same seed always regenerates the same rows, which is what you want for a committed test fixture. Change the seed when you want a fresh set.
No. Names, companies and addresses are assembled from fixed word lists, and email addresses use the reserved example domain. Nothing is drawn from a real dataset and no real person's details appear.
It makes generation repeatable. The same seed always produces the same rows, so a test fixture you commit stays identical on every run instead of changing under you.
Yes. It produces one insert statement per row with quotes escaped, so it can be pasted into a client. Check that your column names and types match before running it anywhere that matters.
Up to 500 at a time. Beyond that the browser starts to struggle with rendering the output, and for larger volumes a script using the same field list is a better fit.
They are spread over the last two years from today, which suits created and updated columns. Timestamps are ISO 8601, so they parse everywhere without configuration.
Not in the tool. Pick the closest type and rename the field, or generate the rows and adjust the output. The type list covers the columns most schemas actually need.
No. Generation happens entirely in your browser, so your field names, which often mirror a real schema, stay on your machine.
Yes, completely free with no sign-up and no row limit per day.
Flatten JSON into spreadsheet columns using dot paths, then copy it or download the file.
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