Is converting NDJSON to T-SQL free?

Yes. Files up to 10MB convert free with no account. There is a limit of five conversions per day per IP address.

Will my NDJSON data keep its types in T-SQL?

Yes — that is the point. Whole numbers, decimals, dates and booleans are mapped to real T-SQL types rather than everything becoming text. The mapping table above shows exactly what you get.

Do you store my file?

No. The file is written to a temporary directory, converted, and the directory is deleted as soon as your download has been sent.

Convert NDJSON to T-SQL

Upload a .json or .ndjson file and get back a T-SQL SQL script you can load straight into your database. Types are preserved rather than flattened to text. Free, no registration, up to 10MB.

1Upload your file

Click to upload or drag and drop

CSV, Excel, SQLite, SQL, DBF (max 10 MB)

2Choose target format

How your data is typed in T-SQL

Generated from the converter's own T-SQL type mapping — this is what it actually emits, not an example.

Your data	T-SQL type
Whole number	BIGINT
Decimal (money)	DECIMAL(10,2)
Floating point	FLOAT
True / false	BIT
Date	DATE
Date and time	DATETIME2
Short text	NVARCHAR(255)
Long text	NVARCHAR(MAX)
Binary data	VARBINARY(MAX)

Working from an .ndjson file

Newline-delimited JSON is one complete object per line with no enclosing array, which is exactly what makes it appendable: a log or an export can keep growing without anything having to rewrite the end of the file.

→Each line is parsed on its own and blank lines are ignored, but a single malformed or truncated line fails the whole file - the usual outcome of copying a log that was still being written.
→Lines need not share their keys. The columns are what the records collectively use, and a record that omits one gets NULL in that column.
→A file that is one line long and wraps its array, {"rows": [...]}, is unwrapped into those rows rather than read as a single record.

The T-SQL the script actually uses

T-SQL is the language rather than the product, and it is exactly where a generic ANSI SQL script fails against SQL Server. Two of those differences are why this target has a dialect of its own instead of reusing the shared one.

→Date and timestamp values are written as ordinary quoted strings. The ANSI typed literal - the word DATE in front of a quoted date - is not T-SQL, and the server rejects it, which on its own is enough to make a portable script fail to load.
→GO is not a statement in the language at all. sqlcmd, SSMS and Azure Data Studio read it as a batch separator and the server never sees it, so a driver handed the whole file as one string chokes on it: run the file through one of those clients, or split the text on its GO lines and send the pieces in order down the same connection.
→Rows are written 500 to a statement, comfortably under the 1000-row ceiling T-SQL puts on a single VALUES list. That ceiling is what makes a script built around one statement per table fail on any table worth converting.

Reading NDJSON

→JSON types are trusted: 1 and "1" stay different things.
→Numbers with a decimal point are read as exact decimals rather than floats.
→Both an array of objects and newline-delimited JSON work, and a wrapped array like {"data": [...]} is unwrapped automatically.
→Nested objects are kept as JSON rather than flattened into invented column names.

Writing T-SQL

→String literals carry the N prefix, so non-ASCII text survives whatever collation the database uses.
→Timestamps become DATETIME2. T-SQL’s TIMESTAMP is a row-version counter, not a point in time.
→Identity columns are wrapped in SET IDENTITY_INSERT so explicit key values load.
→Statements are separated with GO in batches.

What you get

A ZIP containing dump.sql, plus a README with the exact command to load it. If anything about your data needed a judgement call, a _warnings.txt explains it.

Load this dump into SQL Server:

  sqlcmd -S HOST -U USER -P PASSWORD -d DATABASE -i dump.sql

Notes:

  - Text columns are NVARCHAR and literals carry the N prefix, so
    non-ASCII data survives regardless of database collation.
  - Timestamps are DATETIME2. T-SQL's TIMESTAMP type is a row
    version, not a point in time.

Questions

Is converting NDJSON to T-SQL free?: Yes. Files up to 10MB convert free with no account. There is a limit of five conversions per day per IP address.
Will my NDJSON data keep its types in T-SQL?: Yes — that is the point. Whole numbers, decimals, dates and booleans are mapped to real T-SQL types rather than everything becoming text. The mapping table above shows exactly what you get.
Do you store my file?: No. The file is written to a temporary directory, converted, and the directory is deleted as soon as your download has been sent.