Turn massive data files into clean, ready-to-run SQL.
Drop a file and get a tidy CREATE TABLE + INSERT script with smart type inference, primary keys, and full schema control — for Postgres, MySQL, SQL Server & SQLite. Built for big, real-world database loads.
🔒 Your file is processed right in your browser — nothing is ever uploaded, stored, or retained. We never see your data.
We ran a full million-row file end to end — clean schema, every row in place, and a valid script ready to import. Big, heavy data loads are exactly what SQLified is for.
Everything you need to load real data
A serious converter for people who move big data on a schedule.
Handles millions of rows
Turns huge files into valid, ready-to-import SQL in a single pass.
Smart type inference
Detects INTEGER, BIGINT, NUMERIC, DATE/TIMESTAMP, BOOLEAN & TEXT from your data.
Four SQL dialects
Postgres, MySQL, SQL Server & SQLite — correct types & quoting for each.
Importable output
Clean CREATE TABLE + INSERT scripts that load without surprises.
Full schema control
Override inferred types, rename columns, set primary keys & nullability.
Nothing leaves your machine
Files are processed in your browser, in memory, and discarded when you're done — never uploaded or retained.
How SQLified works
From raw file to importable SQL in three steps — no upload, no sign-up to try.
Drop your file
Add a CSV, TSV, pipe- or semicolon-delimited file. SQLified auto-detects the delimiter and reads the file locally in your browser — nothing is uploaded.
Review the schema
It samples your rows and infers each column's type — INTEGER, BIGINT, NUMERIC, DATE, BOOLEAN, TEXT. Rename columns, override types, and set primary keys or nullability.
Pick a dialect & download
Choose Postgres, MySQL, SQL Server, or SQLite and download a .sql file — CREATE TABLE plus batched INSERTs, ready to run against your database.
Most free converters are built for tiny, one-off files and fall over somewhere around a hundred thousand rows — the browser tab freezes, or the exported script errors halfway through the import. SQLified is built the other way around: for the recurring, production-scale loads that data teams, analysts, and developers actually run. It streams through large files in a single pass and emits SQL that respects each engine's real limits.
Built for the loads that break other tools
SQL Server rejects any single INSERT with more than 1,000 value rows, and MySQL refuses statements that exceed max_allowed_packet. SQLified batches its output automatically — a fresh INSERT every 1,000 rows by default, and hard-clamped to SQL Server's limit — so a two-million-row export imports cleanly instead of failing at row 1,001. Type inference is tuned for messy real-world data too: it distinguishes INTEGER from BIGINT by value range, keeps decimal scale intact for currency, and recognizes dates, booleans, and percentages.
Popular converters
Jump straight to the format and database you're loading — each with worked examples, type mapping, and the gotchas that break big imports.
Free to start. Pro for the heavy loads.
Try it on real files for free. Upgrade when you need production-scale output.
- Convert real files in-browser
- All four SQL dialects
- Type inference & schema control
- Up to 5,000 rows per file
- 1,000,000+ rows per file
- Built for monthly bulk loads
- Priority processing · no ads
- Everything in Free
Frequently asked questions
Everything you need to know about converting data files to SQL.
What is SQLified?
How do I convert a CSV to SQL?
Which databases and formats does it support?
Is my data uploaded anywhere?
How large a file can it handle?
How does type inference work?
Why do big INSERT scripts break in other tools?
What's the difference between Free and Pro?
Got a big file to load?
Drop it in and watch SQLified turn it into clean, ready-to-run SQL.
🔒 Processed in your browser — nothing uploaded, stored, or retained.