Text to SQL Generator

Convert natural language text to SQL without connecting to your database.

SQL Mocker helps you turn text prompts into SQL using your reviewed schema, relationships, and safe mock results, so you can check the query logic before using it in your real database.

Text prompts to SQL

Describe the result you need in natural language and generate a SQL query draft from your schema.

Schema-aware output

SQL Mocker uses reviewed table names, columns, keys, and relationships so generated SQL has useful context.

Review before running

Inspect the SQL and mock query results before copying anything into your database or reporting tool.

How text to SQL works in SQL Mocker

A text to SQL generator is most useful when it understands your actual database structure. SQL Mocker lets you create a safe schema replica first, then uses that context to generate SQL from your natural language request.

  • Upload, build, or extract table and column metadata.
  • Review keys and relationships before generating SQL.
  • Ask for the metric, dataset, filter, ranking, or comparison you need.
  • Review generated SQL and dummy-data results before using the query.

Example

From text prompt to SQL

Natural language text is converted into SQL using reviewed schema context.

Show monthly revenue by product category for 2026, ordered by the highest revenue first.
Generated SQL based on the reviewed schema.
SELECT
  DATEFROMPARTS(YEAR(o.order_date), MONTH(o.order_date), 1) AS revenue_month,
  o.product_category,
  SUM(o.total_amount) AS monthly_revenue
FROM orders AS o
WHERE o.order_date >= DATEFROMPARTS(2026, 1, 1)
  AND o.order_date < DATEFROMPARTS(2027, 1, 1)
GROUP BY
  DATEFROMPARTS(YEAR(o.order_date), MONTH(o.order_date), 1),
  o.product_category
ORDER BY monthly_revenue DESC;
AI-generated SQL may contain errors. Review and test before use.

No direct database connection

Generate SQL from schema metadata, not production access.

SQL Mocker does not request database credentials and does not connect to your live database. You provide schema metadata, such as table names, column names, data types, primary keys, and relationships.

That gives the text to SQL workflow enough structure to produce more relevant SQL while keeping your real database disconnected.

Text to SQL generator FAQ

What is a text to SQL generator?

A text to SQL generator turns a natural language request into a SQL query. SQL Mocker adds schema and relationship context so the generated query is easier to review before use.

Does SQL Mocker connect to my database?

No. SQL Mocker uses schema metadata and generated dummy data. It does not ask for database credentials or connect to your real database.

Can I review the SQL before using it?

Yes. You can inspect the generated SQL and mock results before copying the query into your own database or reporting tool.

Which databases can it support?

SQL Mocker can tailor SQL for common SQL dialects, including SQL Server, PostgreSQL, MySQL, Oracle, SQLite, Snowflake, and BigQuery.