Convert Excel & CSV Rows Into SQL Queries
Hand-writing INSERT INTO for 4,000 rows is how typos get into production.
Drop your sheet below. DataSort's AI cleans and standardizes the data first, then generates
the CREATE TABLE and every INSERT statement for you.
Upload and clean for free; the .sql download is on Mid and Pro.
Drag & Drop the Excel or CSV file to turn into SQL
Excel (.xlsx) or CSV files
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How do I convert an Excel file into SQL queries?
Upload your .xlsx or .csv to DataSort, let the AI clean the
columns,
then choose Export → Export as SQL Queries. You get a .sql file
containing a CREATE TABLE statement built from your headers, one
INSERT INTO … VALUES (…) per row with quotes escaped and nulls preserved,
plus
sample SELECT and UPDATE statements to start from. Uploading, cleaning,
and
previewing are free; the .sql export itself requires a Mid or Pro plan, and the free
tier
exports to Excel and JSON.
- 1 Drop your Excel or CSV file into the box above.
- 2 Let the AI clean the headers, fix date formats, and drop duplicate rows.
- 3 Check the live table preview. This is exactly what becomes your rows.
- 4 Click Export → Export as SQL Queries.
-
5
datasort_export.sqldownloads with theCREATE TABLE, everyINSERT, and sampleSELECTandUPDATEstatements.
What the Excel to SQL generator writes for you
CREATE TABLE written from your headers
The column list is derived directly from your spreadsheet headers, so you get a table definition you can paste into a migration instead of typing out forty column names and misspelling one of them.
One INSERT statement per row
The entire sheet becomes executable INSERT INTO … VALUES (…)
statements. What used to be an afternoon of copy-paste in a text editor becomes a single
download.
Apostrophes escaped automatically
O'Brien will not break your script. Single quotes inside values are doubled the way SQL expects, which is the number one reason a hand-built insert script fails halfway through and rolls back.
Types respected, nulls preserved
Numbers are written unquoted so they land in numeric columns correctly, and empty cells become
NULL rather than an empty string. That distinction matters the moment someone runs
a COUNT on the table.
Sample SELECT and UPDATE included
The file ends with a SELECT … LIMIT 5 and example UPDATE
statements built from your actual columns, so you have a working starting point for verifying
the import.
Only what you can see gets exported
Hide the columns you don't need or filter the rows first, and the generated SQL matches the preview exactly. No surprise columns, no rows you thought you had removed.
Clean before you insert
Importing dirty rows into a live table is a problem you fix twice. Deduplicate, standardize date formats, and normalize casing first, so the data lands correct the first time.
Free to upload, clean, and preview
Uploading, AI cleaning, and the full table preview cost nothing. The .sql download
requires Mid or Pro, while Excel and JSON export stay free on every plan, so you can verify the
result before deciding.
100% private processing
Files are parsed locally with SheetJS and the backend is stateless. Nothing is persisted on our servers, which matters when the sheet you are about to load into a database contains customer records.
How DataSort turns a spreadsheet into SQL
Upload your spreadsheet
Drop an Excel or CSV file into DataSort. Uploading and the AI cleaning run are free, with no credit card required.
Let AI clean and standardize it
The AI fixes headers, normalizes dates and numbers, and removes duplicate rows so you are not importing bad data into a real table.
Export as SQL queries
Choose Export as SQL Queries and datasort_export.sql downloads
with your CREATE TABLE and every INSERT statement.
Teach others how to clean Excel files and get paid.
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Common Questions about Excel to SQL
How do I convert Excel to SQL insert statements?
datasort_export.sql file downloads containing a CREATE TABLE statement and one INSERT
statement per row. You do not write any SQL yourself.
What is inside the exported .sql file?
CREATE TABLE statement generated from your column headers, one
INSERT INTO … VALUES (…); statement for every visible row, and a set of
sample SELECT and UPDATE statements built from your real columns so you
have a starting point for verifying the load.
Is the SQL export free?
.sql download itself requires a Mid or Pro plan. On the
Free tier you can still export the same cleaned data to Excel and JSON, so you can confirm the
result is correct before upgrading.
Does it handle apostrophes, quotes, and empty cells?
NULL
rather than an empty string, which keeps your column types and aggregate queries honest.
Which databases does the generated SQL work with?
CREATE TABLE and INSERT INTO syntax, so it runs
on MySQL, PostgreSQL, SQLite, and SQL Server with little or no adjustment. You may want to rename
the table or tune the column types to match your existing schema before running it.
Do I need to know SQL to use this?
.sql file to your developer or database admin
without learning the syntax first.
Is my data secure?
How It Works: Technical Methodology
Deterministic SQL generation
The AI cleans your data; it does not write your SQL. The statements are built deterministically in your browser from the cleaned table, escaping quotes and preserving nulls by rule. That means the output is reproducible and the model cannot hallucinate a column.
Privacy & Processing
We employ a stateless architecture. Files are parsed locally in your browser using SheetJS, and only the data chunks the AI actually needs are sent to the model. No file data is permanently stored on our servers.