Generador de Datos de Prueba

Define un esquema de campos, elige un conteo, y obtén N registros de datos realistas. 32 tipos de campos: nombres, correos, direcciones, fechas, IDs, tarjetas de crédito válidas por Luhn, IBANs válidos por mod-97, IPv4 / IPv6 / MAC, lorem ipsum, y más. Salida en JSON, CSV, TSV, SQL INSERT o NDJSON. Semilla opcional para fixtures reproducibles. Se ejecuta en tu navegador, no se sube nada.

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Haz clic en un tipo para insertarlo en el cursor:

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Acerca de los tipos de campos y sus parámetros
  • Identidad — uuid, mac (sep ":" o "-"), ipv4, ipv6.
  • Personas — firstName, lastName, fullName, username, jobTitle.
  • Contacto — email (parámetro domain), phone (país: US/UK/DE/FR/IT/ES/JP), address, street, city, state, country, zip.
  • Tiempo — date y datetime aceptan ISO from / to; time.
  • Números — int y float (parámetros min, max, decimals); age (min / max).
  • Booleano — boolean (50/50).
  • Web — url, domain, tld, color (#rrggbb), lorem (parámetro words).
  • Financiero — iban (parámetro country de un registro de 46 países; los dígitos de control cumplen ISO 7064 mod-97), creditCard (válido por Luhn; marca any / visa / mastercard / amex; el PAN se enmascara antes de la salida).
  • Elección — enum (parámetro values: arreglo de cadenas).

Reproducibilidad — establece una semilla (cualquier texto o número) y el mismo esquema + semilla siempre produce los mismos registros. Deja la semilla vacía para obtener aleatoriedad nueva en cada clic. Los registros se generan enteramente en tu navegador; no se sube nada.

About this tool

Mock Data generates realistic-looking fake data for tests, demos, and development fixtures. The schema covers names, emails, phone numbers, street addresses, cities, countries, dates, UUIDs, credit card numbers (Luhn-valid but not real), company names, job titles, and IP addresses. Each row is generated independently with a stable seed option so you can reproduce the same dataset across runs. The output can be downloaded as JSON, CSV, or SQL INSERT statements. Nothing leaves your browser — the data is generated and held in memory only.

When to use it

  • Seeding a development database with realistic-looking users before the real schema is finalised
  • Producing a fixture file for a test suite that needs a known set of records
  • Filling a UI demo with plausible data so screenshots look like a real product
  • Generating sample CSV files for a documentation page or a tutorial

When not to use it

  • You need real data for a production system — fake data must never be used as a substitute for real data in production
  • You need to satisfy a regulatory requirement (PCI-DSS, GDPR) — the credit card numbers are Luhn-valid but the rest of the PAN structure is fictional. Use a PCI-compliant test card provider for compliance work
  • You need locale-specific data fidelity beyond the available set — the generator covers the most common fields but does not produce, for example, real postal codes that match the addresses it generates

Frequently asked questions

Are the credit card numbers real?

No. They pass the Luhn checksum but the bank identification numbers do not correspond to real issuing banks. They will be rejected by any payment processor. Use them only for testing UI flows and form validation.

Can I generate the same data twice?

Yes. Use the seed option to fix the random sequence — the same seed with the same schema will produce the same output, so tests can rely on the fixture.

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