2026-10-03
Most online JSON to CSV converters take your pasted data, send it to a server and return a file. That is a poor fit for API responses, exports and logs that contain customer records. The other common problem is quality: many converters handle a flat array of objects well and then fall over on nested objects, arrays or rows with different keys.
The JSON to CSV Converter runs in your browser and handles both directions.
Quick conversions. For an API response you want to look at in a spreadsheet, or a CSV export you want as JSON for a test fixture, pasting it in and downloading the result is the fastest route.
Spreadsheet locale. Some spreadsheet apps in locales that use a decimal comma expect a semicolon as the delimiter. The delimiter choice covers that.
Large files. Everything happens in your browser tab, so very large inputs (hundreds of megabytes) are better handled by a script or a command-line tool such as jq, Python's csv module or a dedicated data tool. A browser page is for the everyday sizes.
Lossy by nature. CSV is flat and untyped. Flattening and type detection are choices, not guarantees: a value like 007 stays text on purpose, and an empty cell can mean an empty string or null. Check the output against what the receiving system expects.
To convert between JSON, YAML and CSV in one place, there is the Data Format Converter. To validate or tidy the JSON first, use JSON Tools. If the destination is a database, CSV to SQL turns a CSV into INSERT statements, and JSON to TypeScript writes types for the same JSON.
For a private, no-sign-up conversion that copes with nested JSON, mixed keys and quoted CSV, try the JSON to CSV Converter. For huge files or a repeatable pipeline, script it.