Text2SQL

What is Text2SQL?

Text2SQL is a web-based AI tool, sold as Text2SQL.ai, that converts natural language requests into ready-to-run SQL. You describe the data you need in plain English, ask follow-up questions, and the tool returns a query written for your chosen database. The company says it supports more than 12 database types, with dedicated tools for MySQL, PostgreSQL, Oracle PL/SQL and Microsoft SQL Server.

Accuracy improves when you add your database schema, so the AI knows your real tables, columns and relationships. Beyond generation, Text2SQL explains, fixes and optimises existing SQL, writes Excel and Google Sheets formulas, and helps with regular expressions. A newer Insights view shows the query, results, auto-generated charts and an explanation together. The homepage claims more than 256,000 users and shows logos from companies such as Google, PayPal and LinkedIn. The product is live, although its pricing page returned an under construction notice when we checked in October 2026.

Key Features

• Natural language to SQL: Text2SQL converts plain English questions into SQL queries within seconds. You can ask follow-up questions to refine the result, so a vague first request can be narrowed down without rewriting the whole prompt.
• Schema integration: Text2SQL accepts your database schema, including tables, columns and relationships, before generating queries. Joins and column names then match your real design instead of guessed names, which cuts the editing needed before a query runs.
• Insights workspace: Text2SQL Insights shows the query, its results, a chart and a plain explanation in one view. You can change the query or the chart independently, and version control lets you revert to an earlier query.
• Explain, fix and optimise: Text2SQL explains what an existing query does, repairs broken SQL and suggests optimised versions. These tools suit learners reading unfamiliar code and engineers tidying slow or failing queries inherited from colleagues.
• Multi-dialect support: Text2SQL generates SQL for more than 12 database types, according to its documentation. Dedicated pages cover MySQL, PostgreSQL, Oracle PL/SQL and Microsoft SQL Server, so syntax follows the dialect you select.
• Desktop app: Text2SQL offers a desktop app for Windows, macOS and Linux with Pro subscriptions. It connects to your database locally, keeps encrypted credentials on your device and, the company says, sends only schema names to the cloud, never data rows.
• Public API: Text2SQL provides a public API for building your own SQL AI tools on its engine. Its documentation lists 100 API requests a month on Pro, with extra requests charged at $0.05 each.
• Spreadsheet and regex helpers: Text2SQL also writes Excel and Google Sheets formulas and builds regular expressions from descriptions. Analysts who move between spreadsheets and databases can keep these smaller tasks in the same account.

Pros

• Fast first drafts: Text2SQL produces a working query draft in seconds from one plain sentence. Analysts spend their time checking logic rather than recalling syntax, and non-technical staff can pull simple reports without waiting for a developer.
• Schema-aware output: Text2SQL writes queries against your uploaded schema instead of generic table names. Vercel CEO Guillermo Rauch, quoted on the homepage, credits schema context for his good results, and it reduces manual fixes to joins.
• Local option for privacy: Text2SQL’s desktop app keeps database credentials and data rows on your machine. Teams wary of pasting production data into a chatbot get a more controlled route, with only schema names sent to the AI provider.
• Learning aid: Text2SQL explains generated and existing queries in plain language. Students and junior analysts can see why a query works, which builds SQL skills instead of only handing over answers they cannot read.
• Several tools in one: Text2SQL bundles SQL generation, debugging, optimisation, charts, spreadsheet formulas and regex in one account. Smaller teams avoid paying for separate single-purpose helpers for each of these jobs.

Cons

• Unclear current pricing: Text2SQL’s official pricing page showed an under construction notice in October 2026. Directory figures conflict, so you must sign up or contact the company to learn what Pro will cost before committing.
• Complex queries need checking: Text2SQL can still misread intent on complex, multi-step requests. Reviewers advise verifying output before running it, especially updates or deletes on production tables, because a plausible query can return wrong numbers.
• Prompt quality matters: Text2SQL’s results depend on how clearly you phrase the question and how complete your schema is. Ambiguous column names or missing relationships lead to guesses that a human must correct.
• Desktop app needs Pro: Text2SQL includes its local desktop app only with Pro subscriptions. Trial users and lighter plans must rely on the web version, which means pasting schema details into the browser instead.
• Few independent reviews: Text2SQL had no user reviews on Capterra when we checked. Most accuracy and adoption figures, including the 256,000 users claim, come from the company itself.

Who is Using Text2SQL?

• Data analysts: Drafting reporting queries faster.
• Software engineers: Writing, fixing and optimising SQL in code.
• Business users: Querying data without deep SQL knowledge.
• Students and learners: Reading explanations to build SQL skills.

Pricing

Text2SQL offers a free trial on signup, but its official pricing page was under construction and listed no plan prices (checked October 2026).

Directories disagree: Toolify reports a Basic plan at $8 a month and Pro at $25 a month, while Capterra lists a starting price of $10 a month, so treat both as dated third-party figures.

Check the in-app checkout for the live price and request limits before you upgrade, since the public figures may not match what you are charged.

What Makes Text2SQL Unique?

Text2SQL combines query generation with a local desktop client that keeps credentials and data rows off the cloud, sending only schema names to the AI. Most browser-only SQL generators expect you to paste schema details into a web page. The Insights view adds charts, explanations and query version history around each answer, so it works as a lightweight analysis tool and not only a code writer. Its extra helpers for spreadsheet formulas and regex suit analysts who switch between Excel and databases during the same task.

Compatibilities and Integrations

• Databases: MySQL, PostgreSQL, Oracle PL/SQL, SQL Server and more than 12 types in total.
• Platforms: Web app, plus desktop apps for Windows, macOS and Linux.
• API: Public API for custom SQL tools, with metered extra requests.
• Spreadsheets: Formula generation for Excel and Google Sheets.

Text2SQL Tutorials

Getting a first useful query takes only a few minutes.

1. Create an account on text2sql.ai and start the free trial.
2. Pick your database type, such as PostgreSQL or SQL Server.
3. Upload or paste your schema so the AI sees your tables and relationships.
4. Ask a question in plain English and refine it with follow-ups.
5. Review the query and chart in Insights, then test it on a copy of your data.

How We Rated It

Summary

Text2SQL suits analysts, developers and business users who want SQL drafts from plain English without learning every dialect. Its main limitation in October 2026 is pricing transparency, as the official pricing page listed no plans. We rate it highly for speed and breadth of tools. Upload your schema before your first question, and test generated queries on a copy of your data before trusting the numbers.