Convert JSON objects/arrays to CSV tables and back — entirely in your browser.
APIs speak JSON; spreadsheets speak CSV. A local converter helps export API samples or import tabular data without uploading files to a third-party site.
Good conversions respect headers, escaping and empty cells. Nested JSON may need flattening before it becomes a clean table; keep structures reasonably tabular for best results. After conversion, open CSV in a spreadsheet or feed JSON into another tool. Pair with the diff checker if you need to compare two exports.
Because processing is local, you can convert customer-like samples during debugging with less concern than posting files to an anonymous converter. Still follow your company data rules — local tools reduce transport risk but do not redefine policy.
Internal datasets and customer-like samples should not be uploaded to anonymous converters. Local JSON↔CSV reduces transport risk while you still follow company data rules. After converting, use the diff checker to compare two exports that should match.
Convert when PMs want a spreadsheet, when QA needs tabular fixtures, or when an API sample must become CSV for a partner. The reverse path helps turn a CSV export back into JSON arrays for prototypes.
Best results come from flat objects or arrays of flat objects. Deep nesting may need flattening first.
No. Paste into the text areas; conversion is client-side only.
The converter targets comma-separated CSV with a header row. Unusual dialects may need cleanup first.
CSV is text; JSON numbers may become strings depending on content. Check types after round-trips.
Flatten or reshape nested structures first for a clean table. Highly nested trees do not map 1:1 to CSV rows.
No. Conversion runs entirely in your browser.
Paste JSON (object or array of objects) and choose JSON → CSV, or paste CSV with a header row and choose CSV → JSON. Swap and Copy help iterate. Status messages confirm success or describe parse errors.
Your JSON/CSV never leaves the browser as part of DevsDrill conversion. Ideal for internal datasets you would not upload. Clear the editors when finished on a shared computer.