Generate production-ready schemas with proper types and INSERT statements
PostgreSQL is the world's most advanced open source database. Getting your JSON data into it shouldn't require manual schema design. This converter analyzes your data and generates optimal DDL and DML.
The converter scans ALL rows to determine the best PostgreSQL type for each column. It won't be fooled by the first row having an integer when later rows have decimals.
| JSON Value Pattern | PostgreSQL Type |
|---|---|
| Integer numbers | INTEGER (or SERIAL for id) |
| Decimal numbers | NUMERIC |
| true/false | BOOLEAN |
| ISO 8601 datetime | TIMESTAMP WITH TIME ZONE |
| ISO 8601 date only | DATE |
| Short strings (≤255) | VARCHAR(255) |
| Long strings (>255) | TEXT |
| Arrays or objects | JSONB |
Columns named 'id' are automatically designated as PRIMARY KEY. If the values are integers, the type becomes SERIAL for auto-increment.
CREATE TABLE users (
id SERIAL PRIMARY KEY,
name VARCHAR(255) NOT NULL,
email VARCHAR(255) NOT NULL
);If any row has a null value for a column, that column is marked as nullable. Otherwise, it gets a NOT NULL constraint.
Nested objects and arrays are stored as JSONB, PostgreSQL's efficient binary JSON type. This preserves the structure while enabling JSON queries.
INSERT INTO products (id, name, metadata)
VALUES
(1, 'Widget', '{"tags": ["new", "featured"]}'::jsonb);String values are properly escaped with single quotes doubled. This prevents SQL injection and handles special characters safely.
-- Input: "O'Brien's Store"
-- Output: 'O''Brien''s Store'JSON keys are converted to lowercase and special characters are replaced with underscores to create valid PostgreSQL identifiers.
The generated SQL includes DROP TABLE IF EXISTS CASCADE. This makes it safe to re-run the script during development without manual cleanup.
Deep dive into XML generation with proper escaping and namespaces
Converting JSON to XML isn't just about swapping brackets for angle brackets. Learn how the converter handles arrays, special characters, invalid tag names, and null values.
Clean, human-readable YAML with smart quoting
YAML is JSON's more readable cousin—perfect for config files. Learn how the converter produces clean YAML with proper indentation and intelligent string quoting.
Flatten nested JSON into spreadsheet-ready data
CSV is the universal data interchange format. Learn how the converter flattens nested JSON, handles arrays, and escapes special characters for Excel compatibility.