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Data Generator

Fake identities for testing

Generador de Datos Ficticios
Genera identidades ficticias con nombre, email, teléfono, dirección y más para testing y desarrollo.

⚠️ Solo para testing. Estos datos son ficticios y generados aleatoriamente. No corresponden a personas reales. Úsalos para pruebas de desarrollo, demos y formularios de test.

Test Data Generator: JSON, SQL, JavaScript with Faker.js

Realistic test data is critical for developing and testing applications: names, emails, addresses, phones, dates, prices. Manually inventing 'John Doe [email protected]' produces unrealistic data that hides real bugs.

Our generator uses Faker.js with localization to Spanish, English, French, and Portuguese to create realistic data. Export to multiple formats: JSON (for APIs), SQL INSERT (for databases), JavaScript array (for tests), CSV (for spreadsheets).

Ideal for developers seeding databases, QAs creating test datasets, or designers who need realistic content in prototypes. All generation runs in the browser — no data leaves your device.

How does it work?

  1. 1
    Select data types

    Add fields: name, email, phone, address, company, product, date, price, boolean, custom UUID.

  2. 2
    Configure quantity and locale

    Number of records (up to 10,000), language of generated data, and specific options per type.

  3. 3
    Export in desired format

    JSON, SQL, JavaScript, CSV, or XML. Copy to clipboard or download as file.

Frequently Asked Questions

Are the generated emails/phones real?

No. Faker generates values that respect formats (like @example.com in emails) but they don't correspond to real people or accounts. Perfect for testing without violating any real user's privacy.

Can I generate data with specific relationships (foreign keys)?

In the basic generator no, but you can concatenate: generate 'users' first with unique IDs, then generate 'orders' assigning random user_ids from the previous list. For complex relations use dedicated tools like Mockaroo or database seeders.

How do I comply with GDPR when using test data?

Use fake data generated (like the ones from this tool) instead of anonymized real data. Anonymized real data can be re-identified. Faker.js data is 100% synthetic — never was a real person.