SchemaSnap
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CSV to Seed Data

A schema alone does not give you anything to run a query against. Most projects end up hand-writing a handful of fake rows, or reaching for a faker library that produces data with no relationship to the shape of the real thing.

SchemaSnap generates seed rows straight from the inferred schema: an email column gets real-looking emails, a price column gets plausible amounts, an enum column cycles through the actual values seen in your data. The output is deterministic, so the same input always produces the same seed rows, which makes it safe to use in a test fixture.

Example

Run on a small sample CSV at build time, so this is real output, not a mockup.

Table structure (Postgres baseline)

CREATE TABLE customers (
  id SERIAL PRIMARY KEY,
  name VARCHAR(32) NOT NULL,
  email VARCHAR(32) NOT NULL,
  plan VARCHAR(32) NOT NULL,
  price NUMERIC(10,2) NOT NULL,
  signup_date DATE NOT NULL
);

Generated seed rows (JSON)

[
  {
    "id": 1,
    "name": "Ava Ng",
    "email": "[email protected]",
    "plan": "free",
    "price": 9.99,
    "signup_date": "2026-01-15"
  },
  {
    "id": 2,
    "name": "Liam Diaz",
    "email": "[email protected]",
    "plan": "pro",
    "price": 13.49,
    "signup_date": "2026-02-15"
  },
  {
    "id": 3,
    "name": "Noah Patel",
    "email": "[email protected]",
    "plan": "trial",
    "price": 16.99,
    "signup_date": "2026-03-15"
  },
  {
    "id": 4,
    "name": "Mia Cohen",
    "email": "[email protected]",
    "plan": "free",
    "price": 20.49,
    "signup_date": "2026-04-15"
  }
]

Try it

Drop a .csv file here, or click to choose one. Or just paste below.

Outputs

Paste or drop a CSV, then hit Convert. Nothing you enter here leaves your browser.

Other conversions