Gerador de Dados Fictícios
Gere dados falsos realistas — nomes, e-mails, endereços, UUIDs, datas e campos personalizados — e exporte como JSON, CSV ou instruções SQL INSERT
Fields (6)
Preview (first 5 rows)
| id | first_name | last_name | city | age | |
|---|---|---|---|---|---|
| 1 | Katherine | Nguyen | john.jones14@example.com | Georgetown | 69 |
| 2 | Kenneth | Hernandez | kathleen.anderson30@mock.dev | Arlington | 76 |
| 3 | Shirley | Allen | kevin.clark36@placeholder.co | Greenville | 33 |
| 4 | Karen | Allen | jack.allen35@example.com | Ashland | 53 |
| 5 | Ronald | Williams | david.wright14@demo.net | Riverside | 48 |
Output (JSON · 25 rows)
[
{
"id": 1,
"first_name": "Katherine",
"last_name": "Nguyen",
"email": "john.jones14@example.com",
"city": "Georgetown",
"age": 69
},
{
"id": 2,
"first_name": "Kenneth",
"last_name": "Hernandez",
"email": "kathleen.anderson30@mock.dev",
"city": "Arlington",
"age": 76
},
{
"id": 3,
"first_name": "Shirley",
"last_name": "Allen",
"email": "kevin.clark36@placeholder.co",
"city": "Greenville",
"age": 33
},
{
"id": 4,
"first_name": "Karen",
"last_name": "Allen",
"email": "jack.allen35@example.com",
"city": "Ashland",
"age": 53
},
{
"id": 5,
"first_name": "Ronald",
"last_name": "Williams",
"email": "david.wright14@demo.net",
"city": "Riverside",
"age": 48
},
{
"id": 6,
"first_name": "William",
"last_name": "Wright",
"email": "raymond.smith59@test.io",
"city": "Greenville",
"age": 21
},
{
"id": 7,
"first_name": "Jacob",
"last_name": "Miller",
"email": "samantha.garcia75@example.com",
"city": "Newport",
"age": 38
},
{
"id": 8,
"first_name": "Brandon",
"last_name": "Mitchell",
"email": "jeffrey.white99@sample.org",
"city": "Springfield",
"age": 48
},
{
"id": 9,
"first_name": "Debra",
"last_name": "Perez",
"email": "frank.sanchez71@dummy.email",
"city": "Richmond",
"age": 44
},
{
"id": 10,
"first_name": "Laura",
"last_name": "Walker",
"email": "stephanie.king45@dummy.email",
"city": "Clinton",
"age": 79
},
{
"id": 11,
"first_name": "Frank",
"last_name": "Hill",
"email": "samantha.hernandez62@example.com",
"city": "Troy",
"age": 32
},
{
"id": 12,
"first_name": "Margaret",
"last_name": "Jones",
"email": "carolyn.thomas30@mock.dev",
"city": "Centerville",
"age": 60
},
{
"id": 13,
"first_name": "Kathleen",
"last_name": "Walker",
"email": "ashley.miller98@example.com",
"city": "Kingston",
"age": 47
},
{
"id": 14,
"first_name": "Michelle",
"last_name": "Clark",
"email": "deborah.wright16@mock.dev",
"city": "Milford",
"age": 59
},
{
"id": 15,
"first_name": "Dorothy",
"last_name": "Nguyen",
"email": "dennis.mitchell62@fakeapi.com",
"city": "Milton",
"age": 61
},
{
"id": 16,
"first_name": "Brandon",
"last_name": "Thompson",
"email": "susan.thomas7@fakeapi.com",
"city": "Riverside",
"age": 28
},
{
"id": 17,
"first_name": "Joshua",
"last_name": "Gonzalez",
"email": "kathleen.jones17@placeholder.co",
"city": "Fairview",
"age": 65
},
{
"id": 18,
"first_name": "Michelle",
"last_name": "Hill",
"email": "edward.taylor78@sample.org",
"city": "Riverside",
"age": 57
},
{
"id": 19,
"first_name": "Andrew",
"last_name": "Nguyen",
"email": "george.sanchez99@fakeapi.com",
"city": "Burlington",
"age": 67
},
{
"id": 20,
"first_name": "Nicole",
"last_name": "Smith",
"email": "jessica.perez4@mock.dev",
"city": "Burlington",
"age": 71
},
{
"id": 21,
"first_name": "Benjamin",
"last_name": "Miller",
"email": "nicholas.sanchez81@fakeapi.com",
"city": "Marion",
"age": 71
},
{
"id": 22,
"first_name": "Jennifer",
"last_name": "Allen",
"email": "kathleen.johnson21@fakeapi.com",
"city": "Georgetown",
"age": 64
},
{
"id": 23,
"first_name": "Dennis",
"last_name": "Torres",
"email": "virginia.sanchez52@dummy.email",
"city": "Centerville",
"age": 20
},
{
"id": 24,
"first_name": "Katherine",
"last_name": "Flores",
"email": "cynthia.sanchez85@demo.net",
"city": "Milford",
"age": 35
},
{
"id": 25,
"first_name": "Linda",
"last_name": "Jackson",
"email": "ashley.torres76@dummy.email",
"city": "Madison",
"age": 52
}
]Continue explorando
Outras ferramentas de Dados & Planilha que você pode gostar…
Visualizador e editor de CSV
Visualize, ordene, filtre e inspecione arquivos CSV como uma tabela interativa — tudo no navegador
Visualizador de tabela JSON
Renderize arrays JSON de objetos como uma tabela HTML classificável e pesquisável com filtragem de colunas
Conversor Excel para CSV
Converta arquivos Excel XLSX e XLS para o formato CSV — sem upload, funciona no navegador via SheetJS
Extrator de colunas CSV
Selecione colunas específicas de um arquivo CSV e baixe o resultado — ótimo para limpar grandes conjuntos de dados
SQL em CSV
Execute consultas SQL SELECT diretamente em arquivos CSV enviados — sem servidor necessário
Mesclador de CSV
Mescle vários arquivos CSV em um só — reordene, remova duplicatas e gerencie cabeçalhos automaticamente
CSV Splitter
Split a large CSV file into smaller files by row count or by unique values in a column
JSON para Excel
Converta arrays JSON de objetos para Excel (.xlsx) ou CSV — alimentado por SheetJS, funciona no navegador