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 | Angela | Adams | rebecca.carter18@dummy.email | Franklin | 44 |
| 2 | Sharon | Hernandez | brenda.allen96@sample.org | Lancaster | 72 |
| 3 | Linda | Moore | dennis.robinson7@sample.org | Marion | 71 |
| 4 | Frank | Ramirez | samantha.perez73@dummy.email | Newport | 40 |
| 5 | Thomas | Martinez | barbara.brown59@demo.net | Cleveland | 51 |
Output (JSON · 25 rows)
[
{
"id": 1,
"first_name": "Angela",
"last_name": "Adams",
"email": "rebecca.carter18@dummy.email",
"city": "Franklin",
"age": 44
},
{
"id": 2,
"first_name": "Sharon",
"last_name": "Hernandez",
"email": "brenda.allen96@sample.org",
"city": "Lancaster",
"age": 72
},
{
"id": 3,
"first_name": "Linda",
"last_name": "Moore",
"email": "dennis.robinson7@sample.org",
"city": "Marion",
"age": 71
},
{
"id": 4,
"first_name": "Frank",
"last_name": "Ramirez",
"email": "samantha.perez73@dummy.email",
"city": "Newport",
"age": 40
},
{
"id": 5,
"first_name": "Thomas",
"last_name": "Martinez",
"email": "barbara.brown59@demo.net",
"city": "Cleveland",
"age": 51
},
{
"id": 6,
"first_name": "Kathleen",
"last_name": "Martin",
"email": "kimberly.sanchez28@fakeapi.com",
"city": "Manchester",
"age": 18
},
{
"id": 7,
"first_name": "Carolyn",
"last_name": "Lewis",
"email": "nancy.brown51@test.io",
"city": "Georgetown",
"age": 73
},
{
"id": 8,
"first_name": "Barbara",
"last_name": "Garcia",
"email": "jeffrey.thomas74@placeholder.co",
"city": "Dover",
"age": 30
},
{
"id": 9,
"first_name": "Cynthia",
"last_name": "Torres",
"email": "carolyn.green8@placeholder.co",
"city": "Salem",
"age": 53
},
{
"id": 10,
"first_name": "Rachel",
"last_name": "Roberts",
"email": "daniel.carter71@test.io",
"city": "Richmond",
"age": 34
},
{
"id": 11,
"first_name": "Nancy",
"last_name": "White",
"email": "dennis.nguyen53@example.com",
"city": "Portland",
"age": 49
},
{
"id": 12,
"first_name": "Emily",
"last_name": "Flores",
"email": "sandra.ramirez60@mock.dev",
"city": "Madison",
"age": 56
},
{
"id": 13,
"first_name": "Ronald",
"last_name": "Davis",
"email": "melissa.clark58@sample.org",
"city": "Fairview",
"age": 61
},
{
"id": 14,
"first_name": "Barbara",
"last_name": "Ramirez",
"email": "patrick.lewis67@demo.net",
"city": "Clinton",
"age": 80
},
{
"id": 15,
"first_name": "Jack",
"last_name": "Walker",
"email": "nicholas.rodriguez71@test.io",
"city": "Newport",
"age": 68
},
{
"id": 16,
"first_name": "Christine",
"last_name": "Baker",
"email": "nancy.perez9@dummy.email",
"city": "Georgetown",
"age": 76
},
{
"id": 17,
"first_name": "Benjamin",
"last_name": "Mitchell",
"email": "anthony.king70@placeholder.co",
"city": "Manchester",
"age": 25
},
{
"id": 18,
"first_name": "Samuel",
"last_name": "Perez",
"email": "eric.mitchell80@sample.org",
"city": "Richmond",
"age": 60
},
{
"id": 19,
"first_name": "Joseph",
"last_name": "Young",
"email": "samantha.johnson61@fakeapi.com",
"city": "Portland",
"age": 20
},
{
"id": 20,
"first_name": "Anna",
"last_name": "Flores",
"email": "catherine.ramirez30@fakeapi.com",
"city": "Kingston",
"age": 53
},
{
"id": 21,
"first_name": "Eric",
"last_name": "Ramirez",
"email": "raymond.roberts98@fakeapi.com",
"city": "Milton",
"age": 40
},
{
"id": 22,
"first_name": "Jeffrey",
"last_name": "Nguyen",
"email": "joseph.johnson46@demo.net",
"city": "Dover",
"age": 32
},
{
"id": 23,
"first_name": "Helen",
"last_name": "Jones",
"email": "dorothy.nguyen86@placeholder.co",
"city": "Ashland",
"age": 36
},
{
"id": 24,
"first_name": "William",
"last_name": "Baker",
"email": "brian.nguyen41@example.com",
"city": "Greenville",
"age": 34
},
{
"id": 25,
"first_name": "Patricia",
"last_name": "Gonzalez",
"email": "jeffrey.baker52@example.com",
"city": "Marion",
"age": 26
}
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