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Bethemesh
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Data Faker

Create up to 10,000 localized fake records with customizable fields, reproducible seeds and JSON, CSV or SQL exports. Everything stays in your browser.

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  • 100% local
  • Instant
  • Free
  • No account
  • Works offline
  • Clipboard
  • Batch processing

Data is generated locally. It is entirely fictional and must not be used to impersonate a real person.

Data template

Choose a ready-made schema or build your own.

From 1 to 10,000 records.

Reuse the same seed to reproduce exactly the same dataset.

Fields to generate

These fields are used when the Custom template is selected.

Why use this tool?

Data Faker creates realistic fictional datasets for testing interfaces, APIs, imports and databases without using real personal information. Choose a template, locale, row count and output format. Generation runs entirely in your browser.

100% local and secure

Your data stays on your device and is never sent to our servers.

Smart processing

Generate, convert, or validate technical data with purpose-built controls.

Supported formats

Technical formats and syntaxes suited to each generator, converter, or validator.

Save time

Get a clean, ready-to-use result in seconds without installing software or configuring a complex workflow.

Fonctionnement

How does this tool work?

The tool uses a deterministic generation engine and localized catalogues. Each field is produced according to its type, including UUIDs, names, contact details, companies, dates, statuses and amounts. The Users, Customers and Orders templates provide coherent schemas that are ready to use.

An optional seed reproduces exactly the same dataset. Results can be serialized as JSON, CSV or SQL INSERT statements without being uploaded to a server. This makes it possible to create substantial demonstration datasets through a fast, private and repeatable local workflow.

Use cases

Test an interface

Populate tables, forms, lists and demo screens with credible data in seconds.

Prepare automated tests

Create a reproducible fixture with a stable seed for development and QA scenarios.

Simulate an import

Generate CSV or JSON containing hundreds or thousands of rows before testing an import process.

Seed a demo database

Export SQL INSERT statements for prototypes, workshops and temporary environments.

Guide

How to use this tool

  1. 1

    Choose a template

    Select Users, Customers, Orders or build a custom schema.

  2. 2

    Configure generation

    Set the volume, locale, format and an optional reproducible seed.

  3. 3

    Export the result

    Review the dataset, then copy or download the JSON, CSV or SQL output.

Examples

User dataset

Input

100 users, United Kingdom, JSON

Result

Identifiers, names, emails, phones, cities and statuses.

Customer import

Input

2,000 customers, Spain, CSV

Result

A CSV file ready for an import test.

SQL fixtures

Input

250 orders, English, SQL

Result

INSERT statements for a demonstration table.

Tips and best practices

  • Use an explicit seed in automated tests so the same values are generated every time.
  • Start with a small sample to validate the schema before generating thousands of rows.
  • The records are fictional and should be used for testing and demonstrations, never to impersonate a real person.

Frequently asked questions

Do the records represent real people?

No. Identities and contact details are randomly assembled from demonstration catalogues and must not be treated as real information.

Can I reproduce exactly the same dataset?

Yes. Use the same seed, template, locale and row count to obtain the same result.

How many rows can I generate?

The tool supports from 1 to 10,000 records per run. For large volumes, validate the schema with a smaller sample first.

Does the data leave my browser?

No. Generation and JSON, CSV or SQL serialization are performed locally in the browser.

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