RTF to Text Converter
Strip RTF back to readable text, without the font tables and control words.
JSON records into a formatted .xlsx — nested keys flattened, dates typed, filters on.
Drop a JSON file here, or click to choose one
Converted on your device — the file is never uploaded
The sheet appears here
The JSON to Excel Converter turns records into a formatted worksheet: nested objects become dotted columns, ISO dates become real Excel dates, and each top-level array can become its own sheet.
An API gives you JSON; the person who asked for the data wants a spreadsheet. The gap between those two is where an afternoon disappears, especially when the records are nested and the columns have to be worked out by hand.
Paste the JSON — an array of records, or an envelope such as { "data": [ … ] } — and it becomes a formatted worksheet. Nested objects flatten into dotted columns such as supplier.name, lists of simple values are joined, and anything deeper can be kept as JSON text in the cell. ISO dates become real Excel dates that sort and filter properly, the header row is frozen with an autofilter, and column widths follow the content. When the JSON holds several arrays, each one can become its own sheet. Everything is built in the browser, so nothing is uploaded.
Handles a bare array or an envelope such as { "data": [ … ] } without being told.
supplier.name becomes a column; or keep nested values as JSON text in the cell.
products, orders and customers can each land on their own tab.
ISO strings become real Excel dates rather than text that sorts alphabetically.
Frozen header, autofilter and column widths set from the content.
An array of objects, or an object with the records inside it — both are found automatically.
Flatten into dotted columns, or keep nested values as JSON text.
Put everything on one sheet, or give each top-level array its own tab.
Open it in Excel, LibreOffice or Google Sheets — ready to filter.
Yes. The records are found inside common envelopes such as data, results or items, and the field the records came from is shown in the stats.
They become dotted columns: { "supplier": { "name": "Acme" } } becomes a supplier.name column. Choose the JSON-text option to keep the structure in a single cell instead.
No. Every field that appears in any record becomes a column, in the order first seen, and records missing that field get an empty cell.
Yes — .xlsx, legacy .xls and OpenDocument .ods are all available before you download.
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