TTSQL

Text to SQL software

Text to SQL that works with real schemas, not toy demos

TTSQL converts text to SQL for analysts, operators, product teams, and embedded AI experiences. It understands schema relationships, applies security rules, and returns SQL you can trust.

If you need a production-grade text to SQL workflow, TTSQL combines AI generation, validation, and governance in one stack.

Start free Read API docs
  • Schema-aware SQL generation across major databases.
  • Security controls and governed access for production teams.
  • Embeddable workflows for apps, copilots, and internal tools.

Why teams choose TTSQL

Production-grade query generation for commercial evaluation

Fewer manual query rewrites

Analysts can start from natural prompts instead of hand-writing every join, filter, and aggregation.

Safer generated SQL

Validation, self-correction, and project-specific rules reduce the risk of broken or unsafe queries.

Ready for product teams

Use TTSQL in an internal app, customer-facing experience, or developer workflow with the same core engine.

Example prompts

How TTSQL turns language into SQL

Prompt

Which accounts expanded by more than 20% quarter over quarter?

Generated SQL

WITH quarterly_arr AS (SELECT account_id, DATE_TRUNC('quarter', invoice_date) AS quarter_start, SUM(arr_delta) AS arr_change FROM billing_events GROUP BY account_id, quarter_start) SELECT q.account_id, q.quarter_start, q.arr_change FROM quarterly_arr q JOIN quarterly_arr prev ON prev.account_id = q.account_id AND prev.quarter_start = q.quarter_start - INTERVAL '3 months' WHERE q.arr_change > prev.arr_change * 1.2 ORDER BY q.arr_change DESC;

Prompt

List orders delayed more than 3 days grouped by warehouse

Generated SQL

SELECT warehouse_id, COUNT(*) AS delayed_orders FROM shipments WHERE delivered_at IS NOT NULL AND delivered_at > promised_at + INTERVAL '3 days' GROUP BY warehouse_id ORDER BY delayed_orders DESC;

FAQ

Common evaluation questions

How is TTSQL different from a basic text to SQL demo?

TTSQL is built for production. It adds schema understanding, correction loops, permissions, and API integration instead of stopping at a single generated query.

Who uses text to SQL software?

Data teams use it to speed up analysis, while product teams use it to build natural-language analytics and support experiences on top of governed data.

Does text to SQL work for warehouses as well as transactional databases?

Yes. TTSQL supports warehouse and operational database workflows across common SQL engines and project-specific schemas.

Related workflows

Explore adjacent search intents

Natural language to SQL Natural Language to SQL Platform for Governed Analytics | TTSQL TTSQL is a natural language to SQL platform that translates business questions into secure SQL. Support analysts, internal teams, and customer-facing experiences with schema-aware query generation. Text to query workflows Text to Query Software for SQL Workflows and Embedded Search | TTSQL TTSQL provides a text to query experience for analytics teams and software products. Turn plain-language prompts into secure SQL, reusable filters, and governed data access flows. SQL query generator SQL Query Generator from Plain English and Schema Context | TTSQL Generate SQL queries from plain English with TTSQL. Use a schema-aware SQL query generator for reporting, embedded analytics, and secure data access across major SQL databases. Text to SQL API Text to SQL API for Apps, Agents, and Internal Tools | TTSQL Add text to SQL to your application with the TTSQL API. Build natural language to SQL features, AI query assistants, and governed data workflows with project-aware query generation.

Next step

Use one platform for UI, API, and AI-driven query generation

TTSQL gives teams a consistent way to deliver text to SQL, natural language to SQL, and text to query workflows without splitting product and data logic across tools.

Create an account View API workflow