Customize Value Ranges in Generated Seed Data

Default Value Ranges

The seed generator uses sensible default ranges for each data type and column name pattern. Understanding these ranges helps you evaluate whether the generated data fits your testing needs.

Numeric Ranges

Column Pattern	Type	Range
age	INTEGER	18–80
price / amount / cost	DECIMAL	1.00–999.99
quantity / count	INTEGER	1–100
rating / score	DECIMAL	1.0–5.0
Generic INTEGER	INTEGER	1–10,000
Generic FLOAT	FLOAT	1.00–999.99
Generic DECIMAL	DECIMAL	1.00–9,999.99

Date Ranges

Type	Range
DATE	2020-01-01 to 2025-12-28
TIMESTAMP / DATETIME	2020-01-01 00:00:00 to 2025-12-28 23:59:59
TIME	00:00:00 to 23:59:59

String Lengths

Column Pattern	Typical Length
first_name / last_name	3–12 characters
email	20–40 characters
title / subject	3–7 words
description / body	10–25 words
Generic VARCHAR/TEXT	2–6 words

Adjusting Ranges

The tool does not expose range configuration in the UI (keeping the interface simple), but you can adjust generated data through these strategies:

1. Post-process the output: Generate JSON data, then use a script to modify specific column values
2. Multiple generations: Generate different row counts with different seeds and combine the results
3. Manual override: Generate the bulk of the data, then manually edit specific rows that need precise values

Column Naming Strategy

Since the generator uses column name heuristics, you can influence the generated data by choosing descriptive column names:

• unit_price generates decimal values (matches "price")
• birth_date generates dates (matches DATE type)
• user_email generates email addresses (matches "email")

Rename your columns descriptively before generating, then rename them back if needed.