Free Online Database Seed Data Planner
Build structured sample records for database testing.
| Column name | Data type |
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The same table, columns, and row count produce the same values, so you can regenerate a consistent fixture.
About the Database Seed Data Planner
Seed data is the sample content that makes a new database useful before real traffic arrives. A well-chosen set of records lets developers exercise list pages, search filters, pagination, joins, and empty states without copying production data into a laptop. This planner turns a small table definition into repeatable test records and exports them as SQL, JSON, or CSV. It is intended for development databases, automated test fixtures, demonstrations, and tutorials.
Start by naming the destination table and choosing how many rows you need. Each column gets a name and a data
type from the supported list. The generator understands identifiers, integers, decimals, short text, long text,
email addresses, person names, cities, countries, phone numbers, dates, timestamps, booleans, UUIDs, and URL
slugs. A column named id with an integer type receives sequential values, which makes primary keys
predictable and easy to reference from related tables. Column names are quoted for the selected SQL dialect, so
reserved words such as order or group still work.
The values are pseudo-random but deterministic. A hash of the table name, column name, data type, and row index initializes a small random number generator for every cell. That means the same configuration produces the same output on every run, which keeps snapshots, screenshots, and failing tests stable. Change the row count and the earlier rows stay the same, so adding a few records does not invalidate existing expectations. The generated values are not cryptographically random and must never be used as real secrets, real personal data, or production identifiers.
The SQL export uses a single multi-row INSERT with a comment header. The JSON export produces an
array of objects with native numbers, booleans, and strings. The CSV export includes a header row and quotes any
field that contains a comma, quote, or line break. Review the output before running it: the tool cannot know your
constraints, unique indexes, enum values, or foreign keys, so you may need to adjust the column list or add
related rows by hand. Never point a seed script at a production database.
How to use this tool
- Enter the table name and the number of rows you want.
- Add columns and choose a data type for each one.
- Pick SQL, JSON, or CSV, then click Generate data.
- Copy the output or download it as a ready-to-use fixture file.
Frequently asked questions
Can I use this data in production?
No. Every value is synthetic and may violate real constraints. Use it only for development, testing, and demonstrations.
Why do I get the same values every time?
Determinism is intentional. A stable fixture makes tests reproducible. Change a column name, type, or the table name to get a different data set.
Does it generate related rows automatically?
No. It creates records for one table at a time. Foreign key columns are generated as plain values, so you should reconcile them with the parent table or add them manually.