Text2SQL

Text2SQL is an AI‑powered tool that converts natural language into optimized SQL queries.
Instead of writing SELECT … FROM … WHERE … by hand, you type a question in plain English (or other major languages) and the tool instantly generates the correct SQL statement.
It supports multiple database dialects, lets you upload your own schema, and can be integrated into other applications via API.
The result is a faster, more accessible way for data analysts, developers, and anyone working with databases to query data without deep SQL expertise.

• Natural Language Processing: Transforms plain English into executable SQL using advanced AI models.
• Multi‑Dialect SQL Support: Works with MySQL, PostgreSQL, MS SQL, MariaDB, and other popular database systems.
• Custom Database Schema Integration: Incorporate your own table structures (via connection, upload, or manual definition) so generated queries match your exact column names and relationships.
• Multilingual Query Support: Accepts input in major global languages, not just English, broadening accessibility.
• API Integration: Provides a REST API to embed natural‑language‑to‑SQL capabilities directly into your own applications, dashboards, or workflows.
• Real‑Time Processing: Delivers query results almost instantly, even for moderately complex requests.
• Secure Data Handling: Follows strict data privacy protocols; queries are processed transiently and not stored.

1. Sign up and start a free trial – visit text2sql.ai, create an account, and activate the 7‑day trial (no credit card required).
2. Set up your database schema – connect directly to your database, upload a DDL file, or manually enter table names and column definitions so the AI understands your data model.
3. Choose your SQL dialect – select MySQL, PostgreSQL, MS SQL, or another supported dialect from the settings.
4. Ask a question in natural language – type something like “Show the top 10 customers by total sales in Q3 2024” in the input field.
5. Review and refine the generated SQL – inspect the output, make any needed tweaks (aliases, additional filters), and copy the query.
6. Run the query – execute it directly against your database if you’ve granted the tool access, or paste it into your preferred database client.

Text2SQL offers a 7‑day free trial that gives you full access to the core features so you can test the service without commitment.
After the trial, you can choose between two paid monthly plans, both of which include API access.
(Please check the official website for the latest pricing—plans and limits may change.)

• Free Trial – 7 days, full functionality (request limits may apply), no credit card required to start.
• Standard Plan – $7/month, 500 SQL requests per month, basic email support, API access.
• Pro Plan – $29/month, 3,000+ requests per month, priority support, API access.

Discounts or custom enterprise plans may be available; contact the Text2SQL team for more information.

• Web Application – full‑featured interface accessible directly at text2sql.ai from any modern browser.
• REST API – programmatic access for embedding natural‑language‑to‑SQL inside your own software, dashboards, or CI/CD pipelines.
• Database Connectivity – on‑platform direct connection support (with secure credentials) for MySQL, PostgreSQL, MS SQL, MariaDB, and others.
• No installation required – the platform runs entirely in the cloud; nothing to install on your local machine.

• Be specific in your prompts – mention table names, columns, and conditions explicitly (“from the orders table, join with customers on customer_id”) to get the most accurate SQL.
• Keep your schema up‑to‑date – when tables or columns change, re‑import the schema so generated queries always reference current structures.
• Start with simple queries – test basic SELECTs and filters before attempting complex joins, subqueries, or window functions; gradually increase complexity as you learn the tool’s behavior.
• Use comments in your questions – adding context like “I want to count distinct user_ids” helps the AI choose the right aggregation.
• Verify every query on a copy or staging environment – especially before running UPDATE or DELETE statements generated from natural language.
• Leverage multilingual input if it’s easier – you can ask questions in your native language and still receive correct SQL.

• Data Analysts who want to cut down repetitive SQL typing and spend more time on insights.
• Software Developers integrating database operations into apps, building prototypes, or debugging queries.
• Educators and Students using a safe, interactive environment to learn database concepts and SQL syntax.
• Freelance data professionals managing multiple projects with different database schemas.
• Non‑profit teams with limited technical resources who need to query donor, volunteer, or program data.
• Researchers in academia or industry who must extract data from relational databases but lack formal SQL training.