Generate SQL from Natural Language Safe Query Execution

Write in natural language.
Get valid SQL.

Upload your database schema, ask a question, and see the result immediately.
AI-SQL-Chat generates a single, safe SELECT query and executes it on your database.

Try the demo version Paste Schema Load your schema Guide: paste schema Guide: export to JSON
We do not store any results. DDoS limits, rate-limits, and protection against DML/DDL.

SQL Generator from Natural Language — Who and How it Works?

AI-SQL-Chat is a lightweight and secure SQL generator from natural language. You type a query in English, and the tool returns a valid SELECT query that matches your database schema. You can also paste your own schema directly on the page Paste Schema and generate a one-time SQL query — no login required and no data saved.

If you want to save your schema permanently, just prepare it according to the guide on the page Guide: paste schema and save it in .json format. After logging in, you can upload it on Load Schema, so you can always return to it and generate new SQL queries without re-pasting the data.

Main Benefits

  • SELECT only — read-only queries with forced LIMIT 1000.
  • Your own schema — paste it manually or upload a JSON file.
  • Data consistency — generated SQL refers to tables and columns of your database.
  • No data sending — processing happens solely in the browser.
  • Security — anti-SQLi filters, query limits, and DDoS protection as described in Security.

How to Start in 2-3 Minutes

  1. Generate your database schema according to the guide and prepare the result in JSON format.
  2. Use the Paste Schema page to paste the schema and generate an SQL query.
  3. If you want to save your schema for later — log in and upload the JSON file on Load Schema. From now on, you can return to it in every session and generate SQL queries at any time.
Try the demo Guide: prepare schema Paste schema
Prompt /ask …
"Give me the number of sold modules by house and apartment, add the valuation value" 

          

        

      

             

          

            SQL
            AI-SQL-Chat
          

          


SELECT s_houseType.houseType,
       SUM(valuationResult.moduleCount)         AS sold_modules_count,
       ROUND(SUM(valuationResult.grossPrice), 2)  AS valuation_value
FROM valuationResult
JOIN houseData    ON valuationResult.clientDataId = houseData.clientDataId
JOIN s_houseType ON houseData.houseTypeId = s_houseType.houseTypeId
GROUP BY s_houseType.houseType
LIMIT 1000;


          

        

      

    


        
      

     

  

    
How It Works

    Three simple steps from question to result
  


  

    

      
1

      
Generate and upload schema

      
Generate and load a JSON file with the structure of tables and columns. You can also use our sample schema.

    


    

      
2

      
Ask a question

      
Write in plain language. The engine will generate a single SELECT query with validation and limits.

    


    

      
3

      
Get the result

      
We will show you the SQL and the resulting table. Numbers are rounded to 2 decimal places — ready for presentation.

    

  






  
Upload your own schema

  

    Uploading your own schema and generating SQL queries based on prompts is available after logging in.  
    Once logged in, your schema will be saved and available in subsequent sessions.
  

  

    Log in or 
      create an account to use the full version.
  





  
Generate JSON schema from your database

  

    Don’t have a schema file yet? In 2–3 minutes you can generate it from MySQL, PostgreSQL, SQL Server, or Oracle.
    Run a simple query and export the result to .json.
  

  

    Guide: schema → JSON
    Load schema
  





  
Optimize your query

  

    The new SQL query optimization feature allows you to analyze any SELECT query
    and receive recommendations on indexes, filters, and execution plans.
    You can get a full optimization report on the page 
  

  

    Guide: schema → JSON
    SQL Analysis and Optimization
  





  

    
Why AI-SQL-Chat?

    Security, usability, and fast deployment
  


  

    

      
One safe SELECT

      
We block DDL/DML, OUTFILE/INFILE, SLEEP/BENCHMARK. We enforce LIMIT and a single statement.

    

    

      
Protection & Rate-limit

      
Slowdown, IP limits, event loop shedder — protection against abuse and DDoS.

    

    

      
Easy integration

      
Custom JSON schema, simple deployment (Node + Nginx), works locally and in the cloud.

    

  





  

    
Data Security

    
The project is focused on SQL operation security and resistance to abuse.

    
    
      
  • No result storage — everything in memory.
    • 
      
  • Strict SQL filtering (single SELECT + banned patterns).
    • 
      
  • Body size limits, no “index of” in static files.
    • 
      
  • Helmet, HPP, CORS whitelist, nocache, compression.
    • 
    

    

      More about security
    

  


  

    

      
Enforcementsmiddleware

      


if (!/^\s*SELECT\b/i.test(sql)) throw new Error('Only SELECT allowed');
if (banned.test(sql)) throw new Error('Forbidden instructions');
if (!/\bLIMIT\b/i.test(sql)) sql = sql.replace(/;$/, '') + ' LIMIT 1000;';


      

    

    

    

      
Protectiontoobusy / rate-limit / slowdown

      


if (toobusy()) return res.status(503).json({ error: 'Server overload' });


      

    

  





  
FAQ


  

    Do you modify data in the database?
    
No. The system generates and executes only a single SELECT query, with enforced LIMIT and anti-SQLi filters.

  


  

    Where do the query results go?
    
Only to the browser. The backend does not store results — they are in the process memory only for the execution time.

  


  

    Can I use my own schema?
    
Yes, upload the JSON file with your table/column structure on the “Load Schema” page.

  


  

    Can I run it on-premise?
    
Yes — I offer on-prem / VPC consultations. Contact me.

  


  

    How do I generate a database schema (tables and columns)?

    
Here are simple queries showing table and column names for popular engines. Paste the corresponding fragment in your database, then export the result to JSON and use it in AI-SQL-Chat.


    
MySQL / MariaDB


SELECT
  TABLE_NAME,
  COLUMN_NAME,
  DATA_TYPE,
  IS_NULLABLE,
  COLUMN_KEY
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_SCHEMA = 'your_database'   -- <-- replace
ORDER BY TABLE_NAME, ORDINAL_POSITION;



    
PostgreSQL (using information_schema)


SELECT
  table_name   AS table_name,
  column_name  AS column_name,
  data_type    AS data_type,
  is_nullable
FROM information_schema.columns
WHERE table_schema = 'public'       -- <-- replace, e.g., public
ORDER BY table_name, ordinal_position;



    
SQL Server (Azure SQL / MS SQL)


SELECT
  TABLE_SCHEMA,
  TABLE_NAME,
  COLUMN_NAME,
  DATA_TYPE,
  IS_NULLABLE
FROM INFORMATION_SCHEMA.COLUMNS
-- optionally narrow down:
-- WHERE TABLE_CATALOG = 'YourDatabase' AND TABLE_SCHEMA = 'dbo'
ORDER BY TABLE_SCHEMA, TABLE_NAME, ORDINAL_POSITION;


  






  

    
Who will benefit from this tool?

    Different roles, one goal — quick access to data