Turn spreadsheets into database-ready SQL. Each sheet becomes a CREATE TABLE plus INSERT statements, with column types inferred from your data.
Each worksheet becomes a CREATE TABLE statement plus INSERT statements you can run against MySQL, PostgreSQL, SQLite, and more.
Columns are typed as INT, DOUBLE, or VARCHAR based on their values, so your schema matches the data.
Quotes and special characters in cell values are escaped correctly, so generated SQL never breaks.
Convert many files at once and download every result individually or as a single ZIP archive.
Everything runs in your browser with SheetJS. No Microsoft Excel, no plugins, and nothing to install.
Files never leave your device. Conversion is fully local, free, and needs no account or registration.
Loading a spreadsheet into a database usually means writing INSERT statements by hand. AnyDocFlow’s Excel to SQL converter does it for you: it reads your XLSX, XLS, ODS, CSV, or TSV files and generates one SQL script per worksheet — a CREATE TABLE that builds the schema and INSERT statements that load the rows. Column types are inferred from the data (INT, DOUBLE, or VARCHAR), table and column names are sanitized, and string values are escaped so the output runs cleanly in MySQL, PostgreSQL, SQLite, and other engines. Everything happens in your browser — nothing is uploaded, and your data never leaves your device.
Three simple steps — no account, no software, and no data leaving your device.
Click the drop zone or drag XLSX, XLS, ODS, CSV, or TSV files into the page. You can select several files at once.
Each file is read locally and every sheet becomes a CREATE TABLE plus INSERT statements, with types inferred.
Download each converted file with one click, or press Download all to receive every result as a single ZIP archive.
There is no file size limit and everything runs locally. The first row of each sheet becomes the column names. Type inference looks at all non-empty values in a column: all integers become INT, numbers with decimals become DOUBLE, and anything else becomes VARCHAR(255). Table and column names are sanitized to letters, numbers, and underscores.