Fake Data Generator
Build realistic mock test data from your own custom fields and export it instantly as a JSON array, CSV, or SQL INSERT statements right in your browser.
Fake Data Generator — Define the columns you need — names, emails, phone numbers, UUIDs, dates and more — choose how many rows to create, and instantly get realistic fake data as JSON, CSV, or SQL. Click Regenerate for a fresh batch any time. Everything is generated locally in your browser, so your schema and the data never leave your device.
What is Fake Data Generator?
A free fake data generator that produces realistic mock (dummy / sample / test) records entirely in your browser. Developers, QA engineers, and database designers use it to seed databases, populate UI prototypes, stress-test forms, and build API fixtures without writing a seed script. Add fields, give each a column name and a data type — UUID, full name, first name, email, phone, city, country, date, integer, boolean, sentence, or company — set the row count, pick an output format, and copy the result. Click Regenerate for a brand-new batch with the same shape. The output updates automatically as you edit the fields, count, or format.
How to use Fake Data Generator
- Add a field for each column you need with the Add field button, then give it a name and pick a data type (UUID, full name, email, phone, date, integer, boolean and more).
- Set the Rows count for how many records to generate (1 to 1000).
- Choose the output format with the segmented control: JSON array, CSV, or SQL INSERT statements.
- Click Regenerate to roll a fresh batch of values with the same fields and count whenever you want different data.
- Click Copy to put the generated data on your clipboard, ready to paste into a seed file, spreadsheet, or query.
Examples
JSON fixtures for an API mock
Fields = id (UUID), name (full name), email (email), age (integer); Rows = 3; Format = JSON. The output is a pretty-printed JSON array of three objects, each with id, name, email, and age keys. Click Regenerate for a different set with the same shape.
CSV to import into a spreadsheet
Fields = first (first name), city (city), country (country); Rows = 50; Format = CSV. You get a header row followed by 50 comma-separated rows; values containing commas or quotes are quoted and escaped automatically.
SQL seed for a users table
Fields = name (full name), email (email), active (boolean); Rows = 10; Format = SQL. The output is ten INSERT INTO `data` (...) VALUES (...); statements with strings quoted, booleans as TRUE/FALSE, and numbers left bare.
Frequently asked questions
- Which data types can each field generate?
- Each field can be a UUID, full name, first name, email, phone number, city, country, date (YYYY-MM-DD), integer (1-1000), boolean, sentence, or company name. Mix and match as many fields as you need.
- What output formats are supported?
- Three: a pretty-printed JSON array of objects, CSV with a header row (commas and quotes escaped), and SQL INSERT statements with strings quoted and booleans as TRUE/FALSE. Switch formats from the same generated rows with the segmented control.
- Why does the data change every time I click Regenerate?
- Regenerate produces a fresh random batch from the same fields, row count, and format. The data also updates automatically whenever you add or remove a field, rename a column, change a type, or adjust the row count or format.
- How many rows can I generate at once?
- Any whole number from 1 to 1000; values outside that range are clamped to the nearest limit. The cap keeps generation instant — generate one batch and copy it, then generate another if you need more.
- Is my data sent to a server?
- No. The fields, row count, and generated records are all produced entirely client-side in your browser — there is no upload, no file transfer, and no API call to any server. Nothing ever leaves your device.
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