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Convert JSON arrays or objects into downloadable CSV or TSV data, with nested-field flattening and correct spreadsheet escaping.
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CSV represents a flat table, while JSON can contain nested objects and arrays. Conversion is most predictable when the input is an array of similarly shaped objects, with one object for each intended row.
Nested objects can be flattened into column paths. Arrays and inconsistent records require closer review because the correct tabular meaning depends on the data, not just its syntax.
Turn an array of response records into a table for analysis or review.
Move structured records into a spreadsheet-friendly format without uploading them.
Produce CSV, TSV or semicolon-delimited output for different import workflows.
Format the JSON and resolve syntax errors before interpreting the output table.
Make sure flattened column names and serialized arrays match how you intend to use the data.
Import identifiers as text when leading zeroes, long numbers or date-like values must remain unchanged.
An array of objects with similar property names. Each object becomes one row and the combined properties become columns.
Records do not always contain the same properties. The converter creates the combined header set and leaves a cell blank when a record has no value for that field.
Yes. Nested object keys can be flattened into path-style headers, but you should review arrays and one-to-many relationships carefully.