Text to SQL

Convert Text to SQL Your Database in Plain English.

Translate natural language statements into precise PostgreSQL, MySQL, and SQLite queries. Run schemas locally on your Mac with local-first privacy.

Schema Explorer
order_items
id PK
product_id FK
order_id FK
price numeric
quantity integer
products
id PK
category_id FK
categories
id PK
name varchar
Natural Language Intent

Find total sales by product category for orders completed last week

POSTGRESQL EDITOR
-- Find total sales by product category for orders completed last week
SELECT
cat.name AS category_name, SUM(oi.price * oi.quantity) AS total_sales
FROM order_items oi
JOIN products prod ON prod.id = oi.product_id
JOIN categories cat ON cat.id = prod.category_id
JOIN orders ord ON ord.id = oi.order_id
WHERE ord.status = 'completed'
AND ord.completed_at >= CURRENT_DATE - INTERVAL '7 days'
GROUP BY cat.name
ORDER BY total_sales DESC;
Verified SQL
Translated in 0.3s • postgresql

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Natural Language Translation

Type details like "total revenue by day" and receive a complete SQL code snippet. Supports complex aggregates, date sorting, and conditional filters.

Contextual Schema Mapping

The tool reads your connected database tables locally, generating queries mapping precisely to your columns and constraints. No generic guesswork.

Text to SQL for PostgreSQL

Leverages Postgres-specific dialect features, schemas, casting syntax, and performance functions in generated queries.

Text to SQL for MySQL & SQLite

Generates dialect-appropriate syntax, whether using MySQL's UNIX_TIMESTAMP or SQLite's local database datetime patterns.

FAQ

Common questions about Text to SQL translation.

Very high. Because TableAI provides the active database schema mapping to the LLM as context, the AI doesn't make assumptions about column naming, reducing standard errors.

Never. Only column definitions, primary/foreign keys, and data types are passed as query context. Your actual database row values remain on your local Mac.

Yes, TableAI operates on a secure Bring-Your-Own-Key model or hooks into local offline frameworks like Ollama, keeping your data workflows private.

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