数据与电子表格
模拟数据生成器
生成逼真的伪造数据 — 姓名、邮箱、地址、UUID、日期和自定义字段 — 并导出为 JSON、CSV 或 SQL INSERT 语句
Fields (6)
Add field:
Preview (first 5 rows)
| id | first_name | last_name | city | age | |
|---|---|---|---|---|---|
| 1 | Charles | Nelson | christine.hill21@example.com | Hudson | 62 |
| 2 | Elizabeth | Garcia | donna.torres26@example.com | Lexington | 19 |
| 3 | Mark | Perez | gregory.wilson15@mock.dev | Newport | 68 |
| 4 | Amanda | Nelson | gary.wright33@sample.org | Oxford | 30 |
| 5 | Michael | Nelson | susan.hernandez73@fakeapi.com | Troy | 19 |
Output (JSON · 25 rows)
[
{
"id": 1,
"first_name": "Charles",
"last_name": "Nelson",
"email": "christine.hill21@example.com",
"city": "Hudson",
"age": 62
},
{
"id": 2,
"first_name": "Elizabeth",
"last_name": "Garcia",
"email": "donna.torres26@example.com",
"city": "Lexington",
"age": 19
},
{
"id": 3,
"first_name": "Mark",
"last_name": "Perez",
"email": "gregory.wilson15@mock.dev",
"city": "Newport",
"age": 68
},
{
"id": 4,
"first_name": "Amanda",
"last_name": "Nelson",
"email": "gary.wright33@sample.org",
"city": "Oxford",
"age": 30
},
{
"id": 5,
"first_name": "Michael",
"last_name": "Nelson",
"email": "susan.hernandez73@fakeapi.com",
"city": "Troy",
"age": 19
},
{
"id": 6,
"first_name": "Kevin",
"last_name": "Martinez",
"email": "stephanie.johnson46@sample.org",
"city": "Marion",
"age": 53
},
{
"id": 7,
"first_name": "Pamela",
"last_name": "Allen",
"email": "samantha.king30@placeholder.co",
"city": "Cleveland",
"age": 49
},
{
"id": 8,
"first_name": "Jeffrey",
"last_name": "Taylor",
"email": "amanda.nguyen53@fakeapi.com",
"city": "Bristol",
"age": 64
},
{
"id": 9,
"first_name": "Samantha",
"last_name": "Scott",
"email": "joshua.white98@sample.org",
"city": "Milton",
"age": 58
},
{
"id": 10,
"first_name": "Deborah",
"last_name": "Miller",
"email": "kenneth.thompson6@fakeapi.com",
"city": "Springfield",
"age": 18
},
{
"id": 11,
"first_name": "Cynthia",
"last_name": "Thompson",
"email": "frank.robinson28@mock.dev",
"city": "Oxford",
"age": 32
},
{
"id": 12,
"first_name": "Robert",
"last_name": "Sanchez",
"email": "mark.williams62@fakeapi.com",
"city": "Lexington",
"age": 36
},
{
"id": 13,
"first_name": "William",
"last_name": "Davis",
"email": "brenda.taylor74@dummy.email",
"city": "Kingston",
"age": 24
},
{
"id": 14,
"first_name": "William",
"last_name": "Thompson",
"email": "brenda.jackson53@example.com",
"city": "Bristol",
"age": 32
},
{
"id": 15,
"first_name": "Raymond",
"last_name": "Perez",
"email": "david.clark13@dummy.email",
"city": "Milton",
"age": 59
},
{
"id": 16,
"first_name": "David",
"last_name": "White",
"email": "daniel.wilson47@mock.dev",
"city": "Milford",
"age": 80
},
{
"id": 17,
"first_name": "Carolyn",
"last_name": "White",
"email": "linda.campbell74@sample.org",
"city": "Lexington",
"age": 40
},
{
"id": 18,
"first_name": "Jason",
"last_name": "White",
"email": "edward.williams6@demo.net",
"city": "Burlington",
"age": 24
},
{
"id": 19,
"first_name": "Alexander",
"last_name": "Garcia",
"email": "benjamin.wilson61@demo.net",
"city": "Lexington",
"age": 41
},
{
"id": 20,
"first_name": "Cynthia",
"last_name": "Anderson",
"email": "raymond.clark69@placeholder.co",
"city": "Troy",
"age": 46
},
{
"id": 21,
"first_name": "Rachel",
"last_name": "Rivera",
"email": "linda.moore22@placeholder.co",
"city": "Clinton",
"age": 68
},
{
"id": 22,
"first_name": "Laura",
"last_name": "Garcia",
"email": "amy.baker78@demo.net",
"city": "Portland",
"age": 25
},
{
"id": 23,
"first_name": "Gregory",
"last_name": "Rivera",
"email": "benjamin.wilson17@placeholder.co",
"city": "Troy",
"age": 54
},
{
"id": 24,
"first_name": "Mary",
"last_name": "Garcia",
"email": "matthew.young11@test.io",
"city": "Newport",
"age": 24
},
{
"id": 25,
"first_name": "Dorothy",
"last_name": "Lewis",
"email": "melissa.rodriguez50@placeholder.co",
"city": "Milford",
"age": 53
}
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