Structured Data Generator
Structured Data Generator
Tables, SQL, schema, sample payloads, and typed records.
Inputsjson-sampleSingle snippetReady
Supported types: string, number, boolean, email, date
Result
No output yet
json-sample
Ready
Flow
- Choose output mode.
- Define fields as name:type rows.
- Set row count and generate, then copy the result.
Example
Worked example: JSON schema + SQL starter
- 1 Define fields such as id:number and email:email.
- 2 Switch between JSON schema and SQL query mode.
- 3 Generate both outputs from the same field model.
You get consistent schema and query templates ready for implementation.
How
- Choose output mode.
- Define fields as name:type rows.
- Set row count and generate, then copy the result.
Avoid
- Using unsupported field types outside string/number/boolean/email/date.
- Forgetting to adjust table name in SQL mode.
- Treating sample/random output as production data without validation.
FAQ
Can this generate SQL query templates?
Yes. SQL mode supports SELECT, INSERT, UPDATE, and DELETE starter queries.
Does it include JSON schema and sample JSON?
Yes. Both schema and sample/random JSON outputs are built in.
Can I export CSV and TSV data?
Yes. Random CSV and TSV outputs are available from the same field definition.
Switch
Switch12
No match.