SQL Generator
Commercial use OK
380+ models
No watermark
No sign-up needed
Model:
+ GPT-5, Claude, Gemini
Describe a query in English, paste your schema, and get back working SQL for your exact dialect — PostgreSQL, MySQL, SQLite, MSSQL, Oracle, BigQuery, Snowflake, or Redshift. Or paste an existing query to explain, optimize, or convert between dialects.
Query notes
Advanced options
Result
Tokens running low.
Get More Tokens
❤️ Love Free.ai? Tell your friends!
Sign up to get a referral link and earn 25,000 tokens per friend.
Want more?
Sign up free for 5K tokens/day + 10K bonus
Sign Up Free
Processing your request...
Generate SQL queries from natural language with AI.
How to Use SQL Generator
1
Enter your input
Type text, upload a file, or describe what you want. No account needed.
2
Click generate
Our AI processes your request in seconds using the best open-source models.
3
Download & share
Download, copy, or share your result. Free for personal and commercial use.
Use this tool via API
Automate this tool from your own code. OpenAI-compatible REST endpoint, Bearer-token auth, no extra SDK required. Token costs match the web interface.
curl -X POST https://api.free.ai/v1/chat/ \
-H "Authorization: Bearer sk-free-..." \
-H "Content-Type: application/json" \
-d '{"model": "qwen-coder", "messages": [{"role": "user", "content": "Write a Python function that reverses a string."}]}'SQL Generator — FAQ
Describe a query in English ("monthly revenue by product category for the last quarter, only orders shipped within 7 days") and get back a working SQL query for your dialect (PostgreSQL / MySQL / SQLite / MSSQL / Oracle / BigQuery / Snowflake / Redshift). Optionally paste your schema (CREATE TABLE statements) so the AI uses real column names. Or paste an existing query to get it explained, optimized, or converted between dialects.
AI2SQL charges $9-29/mo with a 5-query daily free cap. Text2SQL.ai is similar pricing. EverSQL focuses on optimization at $99+/mo. ChatGPT is $20/mo. Free.ai is 100% free under the daily token pool, supports 8 dialects (most of those alternatives ship with 3-4), and explicitly handles three modes — generate, explain, optimize — without paywalling any.
Yes — paste CREATE TABLE statements (or a description like "users(id, email, created_at), orders(id, user_id, total, status, created_at)") in the schema box and the model uses those column names instead of guessing. Without a schema, the model invents reasonable column names and tells you which ones it assumed.
PostgreSQL for new projects (most expressive — JSONB, arrays, CTEs, window functions). MySQL for legacy LAMP stacks (be aware of 8.0+ vs 5.7 syntax differences). SQLite for embedded/local. MSSQL for Microsoft shops (T-SQL syntax). Oracle for enterprise (PL/SQL). BigQuery / Snowflake / Redshift for analytics warehouses (different join semantics than transactional DBs).
The model is instructed to use index-friendly patterns (WHERE clauses on indexed columns first, JOIN ON indexed keys, avoid SELECT *) and to flag when a query needs a missing index to be fast. For a dedicated optimization run paste an existing query and pick "Explain + optimize" mode — the model returns the original, an EXPLAIN-friendly rewrite, and an index suggestion.
Yes — paste a query in one dialect, pick "Convert to" + target dialect. The model rewrites using only target-dialect features (e.g., PostgreSQL `LIMIT n OFFSET m` → MSSQL `OFFSET m ROWS FETCH NEXT n ROWS ONLY`) and warns when a feature has no equivalent (PostgreSQL JSONB → MySQL has only basic JSON functions).
Yes — all dialects that support them (PostgreSQL, MSSQL, Oracle, modern MySQL/MariaDB, BigQuery, Snowflake). For SQLite recursive CTEs work but window functions only since SQLite 3.25. The model picks the right construct for the chosen dialect and falls back to subqueries when window functions aren't supported.
When you ask for DELETE / UPDATE / TRUNCATE / DROP, the model wraps them in a `BEGIN; ... ROLLBACK;` (or dialect equivalent) so you can dry-run, plus adds a SELECT preview showing what would be affected. Always read both before running with COMMIT.
DBeaver and DataGrip have AI plugins (DataGrip's is JetBrains AI — $10/mo). Free.ai is browser-based — no install, no IDE login. Use IDE plugins for tight in-flow editing; use Free.ai for ad-hoc queries you want to share, paste into Slack, or include in PR descriptions.
Up to 12,000 characters total (schema + question). For 50+ table schemas, paste only the relevant tables — Postgres `pg_dump --schema-only -t tablename` is the easiest way. Premium long-context Claude/GPT handle full warehouse schemas.
Schema and queries are sent to the model, processed, and discarded. Not stored, not used for training. Pick Qwen 3 Coder for maximum privacy — self-hosted on Free.ai's GPUs, your schema never leaves our infrastructure.
Yes — POST to /v1/chat/ with the SQL system prompt (dialect + mode + schema) and the question as the user message. Useful for natural-language query interfaces in BI tools. See /api/ for snippets.
How would you rate this tool?