In1.

JSON to CSV converter

Paste a JSON array of objects and get clean CSV you can open in any spreadsheet. Keys become columns, values are escaped correctly, and you can copy the result or download it as a file — all in your browser.

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How to use JSON to CSV

  1. 1

    Paste your JSON

    Drop in a JSON array of objects, like an API response or export.

  2. 2

    Let it convert

    Keys become columns and each object becomes a row, instantly.

  3. 3

    Check the CSV

    Review the generated CSV, with values escaped correctly.

  4. 4

    Copy or download

    Copy the CSV to your clipboard or download it as a .csv file.

Turn JSON data into a spreadsheet

JSON is how data travels between programs — APIs return it, configuration files use it, and exports produce it — but it is not how most people want to read or analyze that data. For browsing, filtering, sorting and sharing, a spreadsheet is far more natural, and spreadsheets speak CSV. This converter bridges the two. You paste a JSON array of objects and it produces CSV where each object becomes a row and each key becomes a column, ready to open in Excel, Google Sheets, Numbers or any tool that imports CSV. Instead of writing a script, wrangling a one-off parser, or manually retyping values into cells, you get a clean, correctly structured table in a single step. This is exactly what you need when an API hands you JSON but your colleague wants a spreadsheet, when you want to eyeball an export, or when the next tool in your workflow only accepts tabular data. The conversion preserves your data while changing its shape into something immediately usable.

Handles messy, real-world JSON

Real data is rarely uniform, and a converter is only useful if it copes with that. In1 scans every object in your array and builds the column list from the union of all their keys, so if some records have fields that others lack, every field still gets a column and missing values are simply left blank rather than throwing the rows out of alignment. Values that are themselves objects or arrays are serialized so they still fit in a cell instead of breaking the output. This tolerance for irregular data means you can throw a real API response or database export at it without first cleaning everything into a perfectly rectangular shape. The result is a CSV whose header row reflects all the fields present across your data and whose rows line up correctly underneath, which is precisely what a spreadsheet needs to import the file cleanly. You spend your effort analyzing the data, not massaging it into a form the converter can handle.

Correct escaping so nothing breaks

CSV looks simple but has sharp edges, and getting the escaping wrong silently corrupts the data. A value that contains a comma would split into two cells; a value with a line break would spill into a new row; a value with a quotation mark would confuse the parser. The CSV standard handles all of this by wrapping problematic values in quotes and doubling any quotes inside them, and In1 applies those rules correctly so your output imports cleanly no matter what the values contain. Names with commas, descriptions with line breaks, text with embedded quotes — all of it survives the round trip intact. This careful escaping is the difference between a CSV that opens perfectly in a spreadsheet and one that looks fine at a glance but has rows misaligned by a stray comma three hundred entries down. Because the tool gets the escaping right every time, you can trust that the table you download matches the data you put in.

Copy or download, privately

Once your CSV is ready, you can use it whichever way suits you: copy it to the clipboard to paste straight into a sheet or another tool, or download it as a proper .csv file ready to open or share. Both options are a single click. And crucially, the entire conversion happens locally in your browser. The JSON you paste — which might be an API response with personal data, an internal export, or records you are not free to share — is never uploaded to a server. Nothing is stored and there is no account. The conversion is instant because there is no network round trip, and it works the same offline as online. This local-only design matters for data work, where pasting a customer export or a confidential dataset into an unknown online converter would be a real risk. With In1 you get the convenience of an instant JSON-to-CSV tool with the assurance that your data stays on your own machine from start to finish.

Who converts JSON to CSV?

The need spans technical and non-technical work alike. Developers convert API responses and database exports into CSV to inspect them, share them with teammates, or feed them into tools that expect tabular input. Data analysts turn JSON datasets into spreadsheets where they can sort, filter, pivot and chart. Marketers and operations staff take JSON exports from various platforms and convert them so they can work in the spreadsheet they are comfortable with. QA testers turn structured test output into CSV for review. Researchers convert collected JSON data into a form their analysis tools accept. Anyone who has received data as JSON but needs it as a table — which happens constantly once you start moving data between systems — benefits from a converter that handles irregular keys, escapes values correctly, and offers both copy and download, all without uploading the data. It removes the small but recurring barrier between the format data arrives in and the format people actually want to use it in.

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