JSON to PostgreSQL Converter
Instantly convert JSON objects and arrays into optimized PostgreSQL INSERT statements with JSONB support.
JSON to PostgreSQL: A Developer’s Deep Dive
PostgreSQL has first-class JSON support through its native json and jsonb data types โ a feature that sets it apart from every other relational database. This tool converts raw JSON into PostgreSQL-compatible INSERT statements, detecting scalar fields, nested objects, and arrays to generate accurate CREATE TABLE DDL and bulk-ready data imports.
JSONB vs. JSON: Which Type to Use?
PostgreSQL offers two storage types for JSON โ and the choice matters significantly for performance:
json: Stores the raw JSON text exactly as-is, preserving whitespace and key order. Every time you query it, PostgreSQL must re-parse the string. Best for audit logs where the original text must be preserved.jsonb: Stores JSON in a parsed binary format. Slightly slower to insert (parsing happens on write), but dramatically faster to query and supports GIN indexing. Usejsonbfor any column you plan to query against.
-- Recommended: JSONB column for queryable metadata
CREATE TABLE events (
id BIGSERIAL PRIMARY KEY,
user_id INTEGER NOT NULL,
payload JSONB,
created_at TIMESTAMPTZ DEFAULT NOW()
);
-- GIN index for fast JSON key lookups
CREATE INDEX idx_events_payload ON events USING GIN (payload);PostgreSQL JSON Functions You’ll Use After Importing
Once your data is inserted, these are the most valuable PostgreSQL JSON operators:
Extracting Values
-- Arrow operator: returns JSON
SELECT payload -> 'user' FROM events;
-- Double-arrow operator: returns TEXT (use for filtering)
SELECT payload ->> 'email' FROM events WHERE payload ->> 'status' = 'active';
-- Path extraction
SELECT payload #>> '{address, city}' FROM events;Querying Nested Keys with GIN Index
-- Find all events where payload contains a specific key-value pair
SELECT * FROM events WHERE payload @> '{"role": "admin"}';
-- Check if a key exists
SELECT * FROM events WHERE payload ? 'premium_user';Aggregating JSON Arrays
-- Build a JSON array from rows
SELECT json_agg(payload) FROM events WHERE user_id = 42;
-- Build a JSON object from key-value rows
SELECT json_object_agg(name, value) FROM settings;Real-World Use Cases
1. Migrating a MongoDB Collection to PostgreSQL
NoSQL-to-relational migrations often happen when teams need ACID transactions or complex joins. Export your MongoDB documents as JSON, paste them here, and the tool generates a flat relational schema with a jsonb overflow column for unmappable fields โ the recommended hybrid approach.
2. Seeding Tables from API Responses
Third-party APIs (Stripe, Twilio, GitHub webhooks) return JSON payloads. Paste the payload here, generate the INSERT statement, and seed your development database instantly โ no Python scripts required.
3. Loading Configuration Data
Feature flags, tenant configuration, and environment-specific settings are often stored as JSON. Converting them to PostgreSQL-compatible INSERT statements lets you bootstrap a clean database with a single SQL script during CI/CD pipelines.
Understanding How the Converter Handles PostgreSQL Types
| JSON Value | PostgreSQL Type | Notes |
|---|---|---|
"hello" (string) | TEXT | VARCHAR(255) used for short strings |
42 (integer) | INTEGER | BIGINT used if value exceeds 2.1B |
3.14 (decimal) | NUMERIC | Avoids floating-point rounding |
true/false | BOOLEAN | PostgreSQL native boolean |
"2024-01-01" | DATE | ISO-8601 strings detected automatically |
{...} (object) | JSONB | Nested objects stored as binary JSON |
[...] (array) | JSONB | Arrays stored as JSONB |
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Frequently Asked Questions
Does the converter support PostgreSQL arrays (TEXT[], INT[])?
JSON arrays of primitives (e.g., ["a","b","c"]) are currently mapped to JSONB for maximum compatibility. If you need a native PostgreSQL array type (TEXT[]), manually change the column type in the generated DDL โ the INSERT values will still be valid since PostgreSQL casts JSON arrays to native arrays with a simple cast operator.
How does the converter handle NULL values in JSON?
JSON null values are converted to SQL NULL. The generator includes a NOT NULL constraint only when no null values are detected in the input data. If you add data later that includes nulls, you may need to run ALTER TABLE your_table ALTER COLUMN your_col DROP NOT NULL;.
Can I use the generated SQL with Supabase or AWS RDS for PostgreSQL?
Yes. Both Supabase and AWS RDS run standard PostgreSQL. The generated DDL and INSERT statements are fully compatible. For Supabase specifically, you can paste the SQL directly into the Supabase Studio SQL editor and run it without any modifications.
Is my JSON data sent to a server?
No. All conversion happens inside your browser using JavaScript. Your JSON payload โ which may contain sensitive API data, customer records, or financial information โ never leaves your device. There are no server uploads, API calls, or logs.
