Skip to content
OneKitly

JSON to CSV converter

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.

Open JSON to CSV converter and you get an answer straight away, with no account to create. You will find it under JSON, XML & formats, with CSV to JSON converter and CSV / JSON / YAML converter for the neighbouring cases.

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 JSON to CSV converter do?

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.

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 JSON to CSV converter different from CSV to JSON converter?

They sit next to each other but answer different questions: CSV to JSON converter is the one to open when you need it to 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. 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
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.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.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.How-toHow Long Will It Take to Download a File? Time, Bits vs Bytes, and OverheadEstimate download time from file size and connection speed. Learn the size ÷ speed formula, the crucial bits-versus-bytes conversion (divide by 8), and why real downloads run slower than the math predicts.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.ExplainerXML to JSON: Attributes, Repetition, and the Single-Element Array TrapTwo documents that differ only in how many children exist produce two different JSON shapes, and no converter can tell them apart without a schema. Plus what this one really does with attributes, mixed content and whitespace — and the one thing it still cannot record.