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Text2SQL.ai

Text2SQL.ai

Text2SQL.ai is an AI-powered SQL query generator that transforms natural language questions into optimized SQL code instantly. It leverages advanced large language models to understand database schemas and produce accurate queries for MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and more. The tool offers capabilities beyond generation, including SQL optimization, explanation, debugging, and a unified Insights view that combines queries, results, charts, and explanations. Targeted at data analysts, developers, and database administrators, Text2SQL.ai streamlines data retrieval and analysis, saving hours of manual query writing. It also provides a desktop application for local execution and a public API for seamless integration into existing workflows. With support for over 12 databases and features like schema-aware generation, it ensures precision and efficiency in database interactions.

Coding
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Added on
Jul 9, 2026
Monthly Visits
21.6K
Text to SQLSchema-awareMulti-databaseInsights DashboardExplain SQLFix SQLOptimize SQLAPI AccessDesktop App
Product information

Everything worth knowing about Text2SQL.ai

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Natural Language to SQL
Convert plain English questions into accurate, executable SQL queries.
Schema-Aware Generation
Generates queries optimized for your specific database schema, including tables, columns, and relationships.
Insights & Visualizations
Unified view that generates SQL, executes queries, and creates auto-generated charts from results.
Desktop Application
Run locally for maximum privacy. Database credentials stay on your machine; only schema names are sent to AI.
SQL Explanation & Optimization
AI can explain, fix, and optimize existing SQL queries.
Technical capabilities
Public API
Integrate SQL generation into your own tools via a RESTful API. Pro plan includes 100 requests/month.
Multi-Database Support
Supports syntax for PostgreSQL, MySQL, SQL Server, Oracle, BigQuery, Snowflake, Redshift, SQLite, and others.
Must watch videos
Convert Text to SQL with AI? (TEXT2SQL.AI Demo)
5:19
Tutorial5:19
Convert Text to SQL with AI? (TEXT2SQL.AI Demo)
Run text-to-SQL on your own database in minutes. This SQL AI demo shows how Text2SQL.ai turns natural language into accurate, dialect-correct SQL, lets you review the SQL, and executes it safely—using a schema-only privacy model (no rows sent to models). Works in the web app or desktop/local setup. In this video: - Ask questions in plain English, get formatted SQL you can tweak and run - Explain or optimize any existing SQL (reverse mode) - Connect multiple databases (PostgreSQL, MySQL, SQL Server, Oracle, and more) - Export CSV, invite team members, and use the API for ad-hoc reporting in your app - Desktop mode for secure behind-firewall workflows (no inbound IP allowlists) https://www.text2sql.ai/ Try Text2SQL.ai (free trial) https://www.text2sql.ai/docs/get-started Docs Keywords: text to sql, sql ai, natural language to sql, generate sql, postgres, mysql, sql server, oracle, sql generator, schema only, desktop app, data privacy, explain sql, optimize sql
Build a Text-to-SQL Chat in Next.js with Text2SQL.ai API (Open-Source Repo Walkthrough)
7:52
Tutorial7:52
Build a Text-to-SQL Chat in Next.js with Text2SQL.ai API (Open-Source Repo Walkthrough)
Learn how to turn plain English into production-ready SQL using the Text2SQL.ai Public API. In this short demo, we cover the Generate SQL endpoint, walk through a lightweight Next.js chat app, and tour the open-source repository so you can plug text-to-SQL into your own product fast. What you’ll see: API basics: prompt, connectionId, runQuery, limit, conversationId, and mode (one-shot vs conversational) Demo app UI: chat input, loading state, SQL preview, database type detection, results table with CSV export Code tour: clean API proxy route (hide keys), useText2SQL hook, Zustand store, ShadCN UI, SQL formatting/highlight, reusable results table component Chapters: 0:00 Intro & what we’ll cover 0:49 API endpoint overview (Generate SQL) 2:17 Chat demo walkthrough (limit & conversational mode) 4:12 Open-source repo tour 5:20 Chat interface architecture (Zustand, API proxy) 7:18 Results table component (expand, CSV, multi-column) 7:50 Wrap-up & next steps Links: Open-Source Repo: https://github.com/text2sql-ai/text2sql-ai-api-chat-demo API Docs: https://www.text2sql.ai/docs/api-integration Text2SQL.ai: https://www.text2sql.ai/ Use this as a starting point for your own integration to ship self-serve analytics and ad-hoc reporting in your product without reinventing SQL UIs Tech stack: Next.js, TypeScript, Zustand, ShadCN/UI, SQL format & highlight Try it on your own data! Create a connection in Text2SQL.ai, grab the connectionId, and call the Generate SQL endpoint with runQuery + limit for safe, paginated results. #text2sql #Text2SQLai #Nextjs #SQL #OpenSource #APIs #DataTools #AIforDevelopers #ShadCN #TypeScript 💬 Questions? Drop them in the comments. We're happy to help you wire this into your stack.

Who uses it

Real use cases, no hype
SQL Query Generation
Convert natural language prompts into ready-to-run SQL statements.
SQL Optimization
Get AI suggestions to improve query performance and reduce execution time.
SQL Explanation
Understand any SQL query with plain‑language explanations.
Data Analysis & Charting
Generate automatic charts from query results and explore insights.
Database Schema Mapping
Feed your schema for accurate, context-aware queries.
Team Collaboration
Share queries and insights across team workspaces.
API Integration
Embed SQL generation into your own tools and workflows.
What's great
  • Natural language to SQL in seconds
  • Supports multiple SQL dialects
  • Desktop app keeps credentials local
  • Automatic chart generation from queries
  • Iterative follow-up queries
Technical strengths
  • Public API for custom integrations
  • Handles complex joins and window functions
Where it falls short
  • Accuracy drops without good schema
  • API request limits on Pro plan
  • Team collaboration needs paid plan
  • Complex queries may need manual tweaks
Technical limitations
  • No true NoSQL support despite claims
  • Schema sent to third-party LLM providers
  • Desktop still sends schema names externally
For technical folks

The deep-dive specs

Core Model
Likely GPT-4/Claude variants fine-tuned for SQL generation and understanding.
Input Processing
Natural language parsed with schema context (table names, column types, relationships).
Database Support
PostgreSQL, MySQL, SQL Server, Oracle, BigQuery, Snowflake, Redshift, SQLite, Cassandra, MongoDB, and more.
Privacy Mode
Desktop app keeps credentials local; only schema metadata sent to AI provider for processing.
API Protocol
REST API with JSON payloads for text-to-SQL conversion and query explanation.

FAQ

Includes technical Q&A
You describe your query in plain English, optionally provide a database schema, and the AI returns an optimized SQL statement.

Traffic Insights

Monthly Visits

21.6K

July 2026

Growth Rate

+0.05%

vs last month

Dominance

0.45%

in Coding

Top Country

—

Top Countries

—

Growth Trend

Steady

Consistent user growth over last 6 months.

Honest pricing

No sneaky tiers, no “contact sales”

Here's who each plan is actually for — and where the hidden charges might hit.

Pro
Most picked
$29/mo

Individuals

  • 7 day free trial
  • Unlimited messages per month
  • API Access (100 requests/month)
  • SQL generation
  • explanation
  • fixing
  • optimization
Team
$40/mo

Teams

  • 7 day free trial
  • All Pro plan features
  • 3 team members included
Enterprise
Custom

Enterprise

  • All features from the Pro plan
  • Custom Limits
  • Dedicated Support
  • Private Deployment
  • SSO Login
  • Custom Integrations
  • Custom Features
See full feature comparison
Reviews

What the internet actually thinks

Data refreshed weekly. No paid placements.

Trustpilot
Not reviewed yet
G2
G2
Not reviewed yet
C
Capterra
Not reviewed yet
Product Hunt
Not reviewed yet
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Detail tags
Found via these searches
#SQL#AI#Database#DataAnalytics#TextToSQL#QueryBuilder#LLM