Use consistent object keys for better column mapping. Arrays of objects with matching keys produce the cleanest Excel tables.
Use ISO 8601 date strings in JSON for proper Excel date recognition. The converter preserves date formats for compatibility.
Validate JSON structure before conversion. The tool handles type conversion automatically but manual review ensures accurate data mapping.
For large datasets, use the Upload File option. The converter handles up to hundreds of thousands of rows efficiently.
Generates real .xlsx files, not just CSV renamed. Proper cell types, column widths, and sheet structure for immediate use.
Convert multiple JSON arrays into separate sheets within a single workbook. Perfect for organizing related datasets.
Numbers, dates, booleans, and strings are preserved with correct Excel cell types — no manual reformatting needed.
Paste your JSON data into the input panel or drag & drop a .json file. The data is instantly converted into an Excel-ready table. Click Download XLSX to save. All processing happens in your browser — no signup or upload to server required.
The tool generates native .xlsx files compliant with Office Open XML standards. Each JSON array becomes a worksheet with proper column headers, auto-sized widths, and correct data types. The files work seamlessly with Microsoft Excel, Google Sheets, and LibreOffice Calc.
Yes. Nested objects are flattened using dot notation (e.g., user.address.city). You can also choose JSON string mode to preserve nested structures as JSON text in cells, or 1-level flattening for simpler tables.
Yes. NDJSON format is auto-detected. Each line is treated as a separate JSON object and converted to a row in the Excel sheet. This is ideal for log data, streaming data, and database exports.
Yes. Double-click table cells to edit inline. Sort columns by clicking headers, hide columns, insert or delete rows. All changes are reflected in the final Excel file when you download.
The tool processes files in your browser memory, so the limit depends on your system. For files over 50MB, consider splitting into smaller chunks. The Upload File option handles large files better than pasting.