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CSV to JSON converter

Parse CSV text (with header row) into a JSON array of objects, handling quoted fields. Drop a file in rather than pasting it — it is read in your browser and never uploaded.

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Open CSV to JSON converter and you get an answer straight away, with no account to create. Its place is under JSON, XML & formats; JSON to CSV converter and CSV / JSON / YAML converter answer the questions closest to this one.

How to use it

  1. Open the tool — no signup or install needed.
  2. Enter your input or adjust the available options.
  3. Get your result instantly, then copy or download it.

Frequently asked questions

What does CSV to JSON converter do?

Parse CSV text (with header row) into a JSON array of objects, handling quoted fields. Drop a file in rather than pasting it — it is read in your browser and never uploaded.

When would I actually use this?

Making a machine-generated blob readable, finding the character where a parse fails, and shrinking a file before it ships.

What is the most common mistake?

Assuming valid means correct. A document can parse cleanly and still have the wrong shape for whatever will read it — validation checks the syntax, not the schema.

How is CSV to JSON converter different from JSON to CSV converter?

They sit next to each other but answer different questions: JSON to CSV converter is the one to open when you need it to turn a JSON array of objects into comma-separated values with a header row. Takes a whole file, so a long log does not have to go through the clipboard. Pick whichever matches what you're starting from — both are free.

Is there a tool for the next step?

CSV / JSON / YAML converter is the closest one after this: Convert between CSV, TSV, JSON and YAML, and see the rows as a table.

What else is worth having open alongside it?

CSV to Markdown table and CSV transpose — they come up in the same task often enough to be worth a second tab.

Where do the figures come from?

Parsing and serialisation follow each format's specification. Key order and whitespace are not semantically meaningful in JSON or YAML, so a reformatted document is equivalent even when the bytes differ.

Further reading

All guides →
ExplainerCSV to JSON: The Five Cases That Break Every ConverterQuoted delimiters, embedded newlines, ambiguous types, duplicate headers and encoding. Each one was run through the converter and the exact output is printed here — including the two cases it does not rescue.GuideTransposing a Table Whose Rows Should Have Been ColumnsWhat happens to the header row, what happens to rows of unequal length, what happens to types — and the one thing transposing is regularly mistaken for and cannot do.ExplainerJSON to CSV When the Structure Is Nested: Why There Is No Right AnswerThe same two orders come out as five columns from one converter and ten from another, and neither is wrong. Dotted paths, arrays of scalars, arrays of objects and records with different keys — four decisions, made for you, usually silently.ExplainerSemicolon, Tab, Pipe: Choosing a Delimiter That Survives the TripWhy the reader's language decides the delimiter, what the converter does to the quoting when you switch, what the sep= first line really is, and the count of quoted cells on the same export written five ways.ExplainerJSON Is Simpler Than You Think, and That Is the ProblemJSON has no integer type, no date type, no comments and no schema. Every one of those absences produces a specific bug: a 19-digit ID comes back off by 21, a timestamp becomes a string nobody agreed on, NaN cannot be written down, and duplicate keys are legal. All of it run, in two languages.How-toHow to Convert JSON to CSV: Flattening Arrays of Objects into Rows and ColumnsA practical guide to turning a JSON array of objects into a clean CSV file, including how to flatten nested fields and handle the tricky edge cases.