CSV to SQL converter

CSV to SQL turns one parsed delimited table into CREATE TABLE plus INSERT statements, so the biggest fidelity risk is type inference before database import.

Converted with Table engine · nothing stored
Free: 5 conversions a day · 5 MB each
Higher limits →

From real runs

What you get — and what changes

Element	Result	What happens
Table definition	Changed	The default output created a data table with generic DOUBLE PRECISION, TEXT, BOOLEAN, and TIMESTAMP columns.
Row order	Kept	The three CSV records were emitted as three INSERT statements in the same order as the source file.
Apostrophes and quotes	Changed	Double quotes from He said "Hi" became plain text inside a single-quoted SQL literal.
Embedded newline	Kept	The line break inside Ada's note remained inside the SQL string literal, which some loaders accept and some review tools display poorly.
Blank cells	Changed	Empty CSV cells became SQL NULL values rather than empty string literals in the generated INSERT rows.
Identifier-like numbers	Changed	001 and 02134 were converted to numeric 1 and 2134 before SQL serialization, so postal codes need separate handling.

Table definition Changed
The default output created a data table with generic DOUBLE PRECISION, TEXT, BOOLEAN, and TIMESTAMP columns.
Row order Kept
The three CSV records were emitted as three INSERT statements in the same order as the source file.
Apostrophes and quotes Changed
Double quotes from He said "Hi" became plain text inside a single-quoted SQL literal.
Embedded newline Kept
The line break inside Ada's note remained inside the SQL string literal, which some loaders accept and some review tools display poorly.
Blank cells Changed
Empty CSV cells became SQL NULL values rather than empty string literals in the generated INSERT rows.
Identifier-like numbers Changed
001 and 02134 were converted to numeric 1 and 2134 before SQL serialization, so postal codes need separate handling.

Sample conversions

Typed table from messy CSV

Input: CSV row: 001,"Ada, Inc.","line one\nline two",02134,true,"1,234.50",2026-09-10,
Output: SQL included CREATE TABLE "data" ("id" DOUBLE PRECISION, "name" TEXT, "note" TEXT, "zip" DOUBLE PRECISION, "active" BOOLEAN, "amount" TEXT, "date" TIMESTAMP, "empty" TEXT);

Ragged row insert

Input: CSV final row: 003,Zoë with no note, zip, active, amount, date, or empty field.
Output: SQL output ended with VALUES (3, 'Zoë', NULL, NULL, NULL, NULL, NULL, NULL); and reported a ragged-row warning.

A real CSV → SQL run

We converted our CSV sample (226 B) with Table engine on 2026-09-11. It took 1 ms and produced a 729 B SQL file, 3.2× larger than the input. The engine raised no warnings.

Input · sample.csv · 226 B

4 data rows × 5 columns; header: company,stage,arr,owner,close_date

Rows: 4
Columns: 5
Header: company,stage,arr,owner,close_date

Output · sample.sql · 729 B

1 CREATE TABLE, 4 INSERT statements

CREATE TABLE: 1
INSERT statements: 4
Lines: 5

First lines of the output

sql

CREATE TABLE "data" ("company" TEXT, "stage" TEXT, "arr" DOUBLE PRECISION, "owner" TEXT, "close_date" TIMESTAMP);
INSERT INTO "data" ("company", "stage", "arr", "owner", "close_date") VALUES ('Northwind Traders', 'Proposal', 48000, 'R. Ayers', '2026-10-14T00:00:00.000Z');
INSERT INTO "data" ("company", "stage", "arr", "owner", "close_date") VALUES ('Contoso Ltd', 'Negotiation', 120000, 'P. Ng', '2026-09-30T00:00:00.000Z');
INSERT INTO "data" ("company", "stage", "arr", "owner", "close_date") VALUES ('Fabrikam', 'Qualified', 22500, 'R. Ayers', '2026-11-02T00:00:00.000Z');
INSERT INTO "data" ("company", "stage", "arr", "owner", "close_date") VALUES ('Tailspin Toys', 'Won', 64000, 'M. Okafor', …

Options and when to change them

delimiter: Set this for semicolon or pipe exports before SQL type inference runs.
header: Keep it on when the first CSV row contains column names; turn it off for anonymous dumps that need column_1 labels.
quote: Use a non-default quote character only for CSV dialects that do not protect text with double quotes.
encoding: Decode latin1 before SQL generation when names or descriptions show replacement characters.
dialect: Choose postgres, mysql, or sqlite to match identifier quoting and generic type names for the target database.
tableName: Set a real staging table name before handing generated SQL to a database operator.
createTable: Disable it when the target table already exists and you only want INSERT rows.

Do it yourself

pandas to SQL

bash

python - <<'PY'
import pandas as pd
from sqlalchemy import create_engine
df = pd.read_csv("input.csv", dtype={"zip": "string", "id": "string"})
df.to_sql("staging_data", create_engine("sqlite:///out.db"), if_exists="replace", index=False)
PY

This writes through a database driver instead of a portable SQL text file, and you must pin sensitive columns yourself.

CSV to SQL by API or MCP

The HTTP API and the MCP server run the exact engine this page uses (Table engine); the response carries the same warnings the web converter shows. Check support first with GET /api/v1/pairs?from=csv&to=sql.

curl

curl -X POST https://filetypeconverters.com/api/v1/convert \
  -H "Authorization: Bearer $FTC_API_KEY" \
  -F "file=@input.csv" -F "from=csv" -F "to=sql" \
  -F 'options={"delimiter":","}' \
  --output output.sql

Options this engine accepts for CSV → SQL

Key	Applies to	Type	Default
delimiter	Reading CSV	string	,
header	Reading CSV	boolean	true
quote	Reading CSV	string	"
encoding	Reading CSV	utf-8 · latin1	utf-8
dialect	Writing SQL	postgres · mysql · sqlite	postgres
tableName	Writing SQL	string	data
createTable	Writing SQL	boolean	true

API reference

When this is the wrong conversion

Do not run generated SQL against production until the inferred types, table name, and NULL handling have been reviewed.
If you need bulk-load performance, database-native COPY or LOAD DATA commands are usually better than thousands of INSERT statements.

CSV to SQL questions

Does CSV to SQL infer database types?

Yes, but only broadly. Our sample produced DOUBLE PRECISION for numeric columns, BOOLEAN for true and false, TIMESTAMP for ISO dates, and TEXT for mixed strings.

How are blank CSV cells written in SQL?

Blank cells became NULL in every INSERT statement we inspected. That is different from an empty string, so check columns where the distinction matters.

Can I choose the SQL table name?

Yes. The SQL writer has a tableName option for generated CREATE TABLE and INSERT statements. Review the downloaded SQL anyway, because inferred schemas often need edits before database import.