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المولدات

مولد بيانات وهمية (احترافي)

25+ field types — names, addresses, products, finance, lorem.

Runs in your browser

Schema · 8 field(s)

[
  {
    "id": "41936071-dfd7-ad91-2fee-8284fd2d7008",
    "name": "Joan Clarke",
    "email": "tony.knuth58@example.com",
    "city": "Singapore",
    "company": "Cyberdyne",
    "joined_at": "2025-09-04",
    "amount": "$990.29",
    "active": true
  },
  {
    "id": "1372c9c6-3404-5ef3-d955-2f1ec6b41813",
    "name": "Hedy Hoare",
    "email": "edsger.torvalds22@example.com",
    "city": "Singapore",
    "company": "Pied Piper",
    "joined_at": "2025-07-30",
    "amount": "$697.47",
    "active": false
  },
  {
    "id": "6228af6b-601d-fc26-47de-358460a5749b",
    "name": "Ken Lamarr",
    "email": "linus.knuth41@example.com",
    "city": "Seoul",
    "company": "Wayne Enterprises",
    "joined_at": "2025-06-22",
    "amount": "$949.99",
    "active": false
  },
  {
    "id": "e0488ffb-d49a-057c-f094-aa74b80dbeb8",
    "name": "Brian Kernighan",
    "email": "hedy.wirth5@example.com",
    "city": "Mumbai",
    "company": "Tyrell",
    "joined_at": "2026-02-22",
    "amount": "$747.48",
    "active": true
  },
  {
    "id": "f7599069-1214-486f-a95b-4ee8ab942315",
    "name": "Frances Wirth",
    "email": "hedy.clarke29@example.com",
    "city": "Singapore",
    "company": "Wonka",
    "joined_at": "2026-01-15",
    "amount": "$730.83",
    "active": false
  },
  {
    "id": "ca4cfce2-98b0-60d3-6fa9-179e22dfc13c",
    "name": "Brendan Eich",
    "email": "joan.hopper67@example.com",
    "city": "Seoul",
    "company": "Tyrell",
    "joined_at": "2025-10-26",
    "amount": "$890.89",
    "active": false
  },
  {
    "id": "c7c37932-62ca-331d-f661-1d4795b43fc0",
    "name": "Joan Turing",
    "email": "margaret.hamilton92@example.com",
    "city": "Helsinki",
    "company": "Soylent",
    "joined_at": "2026-05-06",
    "amount": "$784.58",
    "active": true
  },
  {
    "id": "e0b1b44d-b0d2-3b26-fc78-b308af36e94e",
    "name": "Brian Lamarr",
    "email": "hedy.kernighan34@example.com",
    "city": "Tokyo",
    "company": "Hooli",
    "joined_at": "2025-11-05",
    "amount": "$90.80",
    "active": true
  },
  {
    "id": "bdac7c22-6843-00c5-77d6-8d4928374f6c",
    "name": "Brian Thompson",
    "email": "joan.hamilton39@example.com",
    "city": "Lisbon",
    "company": "Tyrell",
    "joined_at": "2026-03-03",
    "amount": "$547.09",
    "active": true
  },
  {
    "id": "f52bcf8a-2c65-eda4-9220-b3c7ab108bd5",
    "name": "Donald Kernighan",
    "email": "margaret.wirth21@example.com",
    "city": "Lisbon",
    "company": "Stark Industries",
    "joined_at": "2026-01-28",
    "amount": "$288.01",
    "active": false
  },
  {
    "id": "c4a510e8-7e6d-2673-e4f5-911c2eba6305",
    "name": "Niklaus Allen",
    "email": "alan.hopper55@example.com",
    "city": "Mumbai",
    "company": "Stark Industries",
    "joined_at": "2026-05-02",
    "amount": "$866.81",
    "active": true
  },
  {
    "id": "fbec4928-ab73-99ee-417d-e995cccc57b6",
    "name": "Donald Turing",
    "email": "joan.dijkstra34@example.com",
    "city": "Sydney",
    "company": "Stark Industries",
    "joined_at": "2025-11-04",
    "amount": "$960.94",
    "active": true
  },
  {
    "id": "8496823a-f2be-9696-c839-e0a1b2be3d3e",
    "name": "Linus Hopper",
    "email": "tony.allen45@example.com",
    "city": "Tokyo",
    "company": "Globex",
    "joined_at": "2026-04-08",
    "amount": "$331.08",
    "active": false
  },
  {
    "id": "ef5d89ef-6817-4d1c-b1ad-7d7883ed5dcb",
    "name": "Edsger Dijkstra",
    "email": "donald.wirth26@example.com",
    "city": "Tokyo",
    "company": "Globex",
    "joined_at": "2026-03-28",
    "amount": "$265.91",
    "active": false
  },
  {
    "id": "88d15279-8b78-76b5-b759-6eea802b4435",
    "name": "Ada Allen",
    "email": "margaret.turing88@example.com",
    "city": "Mumbai",
    "company": "Stark Industries",
    "joined_at": "2025-09-09",
    "amount": "$927.74",
    "active": false
  },
  {
    "id": "c7dbfa58-5868-25b5-7f4a-9538ebfb4924",
    "name": "Niklaus Kernighan",
    "email": "hedy.dijkstra91@example.com",
    "city": "Tokyo",
    "company": "Hooli",
    "joined_at": "2026-05-10",
    "amount": "$837.78",
    "active": true
  },
  {
    "id": "97b61316-f8f8-2c0d-b2ee-98745f43e2b0",
    "name": "Joan Hamilton",
    "email": "hedy.lovelace72@example.com",
    "city": "London",
    "company": "Hooli",
    "joined_at": "2025-11-02",
    "amount": "$767.56",
    "active": true
  },
  {
    "id": "b1b3721e-23cd-bca4-c3f6-13df560fff6c",
    "name": "Donald Hamilton",
    "email": "margaret.knuth11@example.com",
    "city": "Singapore",
    "company": "Initech",
    "joined_at": "2025-11-22",
    "amount": "$598.82",
    "active": false
  },
  {
    "id": "5929db2c-0b5f-41f3-72f1-03590f4d9141",
    "name": "Grace Kernighan",
    "email": "alan.eich49@example.com",
    "city": "Toronto",
    "company": "Initech",
    "joined_at": "2025-07-09",
    "amount": "$793.65",
    "active": true
  },
  {
    "id": "1b9f10b4-b426-3c93-8b17-c2feed886779",
    "name": "Alan Allen",
    "email": "linus.hamilton73@example.com",
    "city": "Seoul",
    "company": "Tyrell",
    "joined_at": "2026-03-19",
    "amount": "$122.16",
    "active": false
  }
]

ملاحظة المحرر

Understanding · Realistic-looking data, generated to fit a schema.

هذا الفصل المعمّق متاح حاليًا باللغة الإنجليزية فقط. أداة التحويل أعلاه تعمل بلغتك؛ أما المقال التفصيلي الطويل فلم تتم ترجمته بعد.

الأسئلة المتكررة

Quick answers.

What data formats can I export?

The generator supports JSON, CSV, and SQL insert statements. You can also copy individual rows or the entire dataset directly to your clipboard.

How many records can I generate at once?

You can generate up to 5,000 records per batch. Large batches are processed in your browser memory, so performance depends on your device hardware.

Is the generated data truly random?

Yes. It uses a library of realistic values combined with randomisation to ensure variety in names, addresses, and secondary fields like `UUID` or `Lorem Ipsum` text.

Can I define custom fields?

Select from over 25 predefined field types including personal details, commerce data, and technical identifiers. You can rename headers to match your specific database columns.

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