What is Text2Query?
Turn natural language into SQL and MongoDB queries. Upload your schema, ask questions, and get results with clear explanations — no coding needed. Runs fully in your browser. Private, multilingual, beginner-friendly. Supports multiple databases.
Problem
Users need to write complex SQL/MongoDB queries manually, which is time-consuming and requires technical expertise, prone to syntax errors.
Solution
A natural language to database query converter tool where users input schema, ask plain-language questions, and instantly generate SQL/MongoDB queries with explanations. Example: Upload a database schema and ask "show total sales per region" to get formatted queries.
Customers
Data analysts, product managers, and business intelligence professionals working with databases but lacking advanced SQL skills. Demographics: 25-45yo tech workers globally.
Unique Features
Fully browser-based processing (no data leaves local device), supports 15+ databases including PostgreSQL/MySQL, explains query logic step-by-step, multilingual input support
User Comments
Simplifies data extraction for non-technical users
Accurate schema interpretation
Saves hours on query writing
Helpful explanations improve SQL learning
Privacy-focused local processing
Traction
Launched May 2024, 560+ Product Hunt upvotes (top 5 product of day), featured in 12 database communities, founder (@text2query) has 2,300+ Twitter followers
Market Size
The global database management market is projected to reach $63 billion by 2027 (Statista 2023), with 65% of organizations prioritizing no-code data solutions.
