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CSV to SQL INSERT Statement Generator

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Paste CSV data and a table name to get parameterless SQL INSERT statements back, with basic type inference and identifier quoting.

Paste CSV data with a header row and this tool turns it into ready-to-run SQL INSERT statements, useful for loading a spreadsheet export or a quick fixture into a database without writing the boilerplate by hand. It infers a type per cell: integers and decimals stay unquoted, true/false stay unquoted and lowercased, empty cells become NULL, and everything else is single-quoted with doubled-quote escaping for any embedded apostrophes. Column and table identifiers are quoted per the dialect you pick, ANSI double quotes or MySQL backticks, so reserved words and mixed-case names survive the round trip. It has no connection to a real database and never executes anything, it only formats text.

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How to use CSV to SQL INSERT Statement Generator

  • 1.Paste CSV data into the input box, with the first row as column headers.
  • 2.Set the target table name and pick a dialect (ANSI double-quote or MySQL backtick identifiers).
  • 3.Optionally set how many rows to batch into each INSERT statement, then copy the generated SQL.

Frequently asked questions

How does it decide whether to quote a value?
A cell that looks like a plain integer or decimal, or exactly "true"/"false", is left unquoted; an empty cell becomes NULL; everything else is wrapped in single quotes with any embedded quote doubled.
Does it detect column data types from the whole column, like a real schema migration tool would?
No, type inference is per-cell based only on that cell's text, not analyzed across the whole column. It won't generate a CREATE TABLE statement.
What SQL dialects are supported?
Two identifier-quoting styles: ANSI (double quotes), which works for Postgres and SQLite, and MySQL (backticks). The value formatting itself is dialect-agnostic standard SQL.
Can it handle quoted CSV fields that contain commas?
Yes, double-quoted CSV fields (including ones with embedded commas or doubled-quote escaping) are parsed correctly, matching standard CSV quoting rules.

Use via API, SDK, or MCP

cURL# Free: 1,000 req/day · Pro: 10,000 req/day
curl -X POST https://api.utilix.tech/v1/tools/csv-to-sql-insert-generator \
  -H "Authorization: Bearer utx_live_..." \
  -H "Content-Type: application/json" \
  -d '{"csv":"name,age,active\nAlice,30,true\nBob,25,false","tableName":"users","dialect":"ansi","batchSize":1}'

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