Generate and Validate CSV
Generate mock CSV data and validate structure before conversion.
Use case
Use this to bootstrap realistic CSV fixtures and verify they are parseable.
What to expect
Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.
Generate mock CSV data and validate structure before conversion.
CSV Data Generator
JSON → CSV
Generate CSV data
Mock CSV rows produced from the provided specification.
CSV Validator
CSV → TEXT
Validate CSV
Status report with column count and any detected errors.
CSV to JSON Converter
CSV → JSON
Convert to JSON
JSON generated from the CSV input.
Workflow steps
Workflow shortcut
Next unlocked step: Step 1 · CSV Data Generator
CSV Data Generator
Generate mock CSV with configurable columns including uuid, email, integer, float, date, boolean, enum, and name.
CSV generator input (JSON envelope)
Provide { "columns": [{ "name": "id", "type": "uuid" }], "count": 10, "seed": 42 }.
Generated CSV
Mock CSV rows produced from the provided specification.
Run this step to process the current input and prepare the next workflow stage.
CSV Validator
Validate CSV syntax and structure — checks column consistency, unclosed quotes, and empty headers.
CSV input
Paste CSV to validate. The original CSV is passed to the next step on success.
Validation result
Status report with column count and any detected errors.
Run this step to process the current input and prepare the next workflow stage.
CSV to JSON Converter
Convert CSV rows with headers into a clean JSON array.
CSV input
Paste CSV rows with a header row.
JSON output
JSON generated from the CSV input.
Run this step to process the current input and prepare the next workflow stage.