Free · No signup · Browser-based

Convert CSV to JSON.

Drop a CSV, get correctly-typed JSON in one second. Numbers, booleans and nulls all preserved — and a peek at what's actually in your data.

To convert CSV to JSON, drop or paste a CSV file — csvtodashboard parses it into rows and columns in your browser, then emits a typed JSON array of objects. Numbers, booleans and blank cells become real JSON numbers, booleans and null — not quoted strings — though dates stay as ISO text since JSON has no date type. Nothing is uploaded; the whole conversion runs on your device.

01 · How it works

Three steps, then done.

Most CSV-to-JSON converters dump every cell as a quoted string. We don't. Our type detector reads each column and outputs JSON the way you'd write it by hand — numbers unquoted, booleans as `true`/`false`, empty cells as `null`. Drop a file and see the difference.

i. drop

Drop your file

Drag from Finder, click to choose, or paste data directly into the input pane.

ii. detect

We read the shape

Column types are inferred from the data so the output is correctly typed — not strings everywhere.

iii. use it

Copy, download, or dashboard

Copy the JSON, download it as a file, or hit 'Build dashboard' to chart what's in your data.

02 · Why ours

Smart JSON conversion by default.

Most free JSON converters output a string for every value and bury your file in an upload form. Ours infers types from your data and runs entirely in your browser, so the JSON looks like what you'd write by hand.

  • 01

    Correct types

    Numbers stay numbers, dates stay dates, booleans stay booleans — no quoted-string JSON output.

  • 02

    Local-first

    Your file is parsed and converted in your browser. Nothing is uploaded; verify in DevTools → Network.

  • 03

    Fails loudly

    Malformed input gives a clear, specific error instead of silently wrong JSON — so you can trust the result.

  • 04

    One click to a dashboard

    Every conversion keeps a tabular copy, so you can send the data straight to our visualization tool to chart it.

"Needed a quick JSON conversion and ended up making a dashboard. Didn't expect that."
— the typical csvtodashboard arc
Good to know

csv to json notes.

Format-specific details worth knowing before you convert CSV to JSON.

  • Types are inferred, not quoted

    Numeric columns become JSON numbers, true/false become booleans, and empty cells become null, so downstream code gets a real typed array of objects rather than strings everywhere.

  • No native date type

    JSON has no date type, so dates are kept as ISO-8601 strings like "2026-01-31" instead of being guessed — lossless, but your code does the parsing.

  • Precision beyond 2^53

    JSON numbers are IEEE-754 doubles, so very long integers such as 19-digit IDs lose precision. Keep those columns as text if exactness matters.

03 · FAQ

csv to json questions.

Why is your JSON different from other converters?
We infer the type of each column from its data and output JSON with the correct types. Numbers come out as numbers (not strings), booleans as booleans, empty cells as null. Most free converters quote everything, which is technically valid JSON but useless for downstream code.
CSV is a flat format, so it doesn't have nested headers natively. The output is an array of flat objects. If you need to flatten or unflatten nested data, use the dashboard's calculated columns feature.
No, by default. We detect dates but keep them as strings in the JSON output so we don't silently mis-parse ambiguous formats like 03/04/2025. Toggle 'Normalize dates to ISO 8601' if you want auto-conversion.
Up to about 50 MB and a few hundred thousand rows in modern browsers. The conversion is instant — no server upload, no waiting.
Pretty-printed by default with 2-space indentation. Toggle 'Minify' for a single-line compact version.
No. Everything runs locally. Open DevTools → Network and you'll see zero requests when you drop a file.