Convert JSONL to SQLite
Upload a .json or .ndjson file and get back a SQLite file. Types are preserved rather than flattened to text. Free, no registration, up to 10MB.
Click to upload or drag and drop
CSV, Excel, SQLite, SQL, DBF (max 10 MB)
How your data is typed in SQLite
Generated from the converter's own SQLite type mapping — this is what it actually emits, not an example.
| Your data | SQLite type |
|---|---|
| Whole number | BIGINT |
| Decimal (money) | NUMERIC(10,2) |
| Floating point | REAL |
| True / false | BOOLEAN |
| Date | DATE |
| Date and time | TIMESTAMP |
| Short text | TEXT |
| Long text | TEXT |
| Binary data | BLOB |
Working from a .jsonl file
JSON Lines and NDJSON are the same format under two names, and .jsonl is the spelling used by jq pipelines, Spark and machine-learning tooling. The content converts identically; only the file name causes trouble.
- →The .jsonl extension is not one the uploader recognises. Rename the file to .ndjson or .json - nothing inside it has to change.
- →Tools that write JSON Lines usually emit a directory of shards, part-00000.jsonl and so on. Only one convertible file per upload is accepted, and with no enclosing array to merge, cat part-*.jsonl > all.ndjson is the whole job.
- →Relaxed JSON is not JSON: trailing commas, single quotes and unquoted keys fail to parse, which is what a file written in a JSON5-ish mode will do. Running it through jq normalises it.
What the .sqlite file looks like inside
The output here is a real database rather than a script, so the interesting question is not how to load it but what SQLite did with the types on the way in. Its storage classes are looser than the declarations the file ends up carrying.
- →Names are carried over exactly as they were, with none of the sanitising the script targets apply: a table called Sales Report keeps its space and a column called Order ID keeps its own, so your queries have to quote them.
- →Underneath the declared types sit only five storage classes, and NUMERIC affinity - what a decimal column gets - is the loosest of them: it normalises inserted text to whatever a plain INTEGER or REAL column would hold. The precision and scale in the schema are for a human reading it, not a guarantee SQLite enforces on the bytes; the Writing notes below cover what that means for money specifically.
- →Declared type and stored type are different things here: a BOOLEAN column holds the integers 1 and 0, and a DATE column holds ISO text, because those are the storage classes SQLite actually has. Every client reads them back the same way.
Reading JSONL
- →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 SQLite
- →Columns get real declared types rather than everything being TEXT.
- →Primary keys and NOT NULL constraints are preserved.
- →A money column is declared NUMERIC(10,2), but that declaration does not stop SQLite’s own numeric affinity from converting the inserted value into a float once it lands, so 19.99 can come back with a rounding tail. Pick the DuckDB target instead when the exact decimal has to survive.
What you get
A ZIP containing database.sqlite. If anything about your data needed a judgement call, a _warnings.txt explains it.
Questions
- Is converting JSONL to SQLite 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 JSONL data keep its types in SQLite?
- Yes — that is the point. Whole numbers, decimals, dates and booleans are mapped to real SQLite 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.