π Drag & drop a JSON file here, or click to select
Supports .json files, processed locally in browser
This JSON to Excel converter is intuitive and easy to use. Here is a detailed guide:
Input JSON Data: Paste your JSON data into the left input box. The tool accepts both an array of objects (most common) and a single object. You can also drag and drop a .json file into the designated area or click to select a file from your computer. The tool will automatically read the file content and populate the input area.
Configure Conversion Options: Before converting, adjust the options to suit your needs. Enable "Flatten nested objects" to automatically flatten multi-level nested JSON structures into a flat table, with nested keys connected by dots (e.g., user.address.city becomes the user.address.city column). Enable "Include headers" to add column names as the first row. You can also choose a different delimiter (comma, tab, or semicolon).
Preview and Export: After clicking "Convert to Table," the right panel will display a live table preview. You can verify the data is converted correctly, then click "Download CSV" to save the file locally, or click "Copy CSV" to copy the result to your clipboard. The generated CSV file includes a UTF-8 BOM header to ensure proper character encoding when opened in Excel.
The JSON to Excel converter is widely used in data processing and development workflows. Here are some typical scenarios:
API Data Export: Developers often need to export JSON data from REST APIs into Excel format for product managers, analysts, or clients to review. This tool can quickly convert API response JSON arrays into structured table data, eliminating tedious manual work. Nested object flattening support means even complex API responses can be converted in one click.
Database Query Results: After exporting query results from database tools (like MySQL Workbench, MongoDB Compass) in JSON format, this tool helps quickly convert them to Excel for pivot tables, filtering, and chart analysis. This is especially useful for data analysts working with nested documents from NoSQL databases.
Configuration Batch Editing: When you need to edit JSON configuration data (such as user lists, product catalogs, etc.) in Excel and then convert back to JSON, this tool serves as a bridge. Compared to manual copy-paste, automatic conversion significantly improves efficiency and reduces human error.
JSON vs CSV: JSON (JavaScript Object Notation) is a lightweight data interchange format suitable for representing hierarchical structures and complex object relationships. CSV (Comma Separated Values) is a simple tabular format where each line represents a record and fields are separated by delimiters. JSON is ideal for programmatic processing and data transmission, while CSV is better for table viewing and Excel analysis. This tool bridges the gap by converting JSON's flexibility into CSV's readability.
Nested JSON Flattening: When a JSON object contains nested structures, converting it to a table requires flattening the hierarchy. This tool uses "dot notation" to connect nested keys into column names. For example, {"user":{"name":"John","age":25}} becomes user.name and user.age columns. This approach preserves the original data structure while maintaining compatibility with the two-dimensional nature of tables.
CSV Encoding and Excel: CSV files are essentially plain text, typically encoded in UTF-8. However, older versions of Excel (especially on Windows) may not recognize UTF-8 encoding when opening CSVs, causing non-ASCII characters to appear garbled. The solution is to add a BOM (Byte Order Mark, the three bytes EF BB BF) at the beginning of the file, signaling to Excel that the file is UTF-8 encoded. The CSV files generated by this tool automatically include the BOM header.
Yes. The tool automatically flattens nested JSON objects using dot notation for nested keys. For example, {"user":{"name":"John"}} becomes a column named user.name. Array values are converted to JSON strings.
Yes. The generated CSV file includes a UTF-8 BOM header to ensure proper character encoding when opened in Excel. Simply download and open it directly in Excel. For large datasets, we recommend previewing first.
No. All processing happens locally in your browser. Your data never leaves your device, ensuring complete privacy and security. You can use this tool offline.
The tool runs entirely in the browser and can typically handle JSON files from a few MB up to several tens of MB, depending on your device's memory. For very large datasets, consider processing in batches or using a server-side tool.
Array values are converted to their JSON string representation and stored in a single cell. If you need more granular splitting (such as expanding arrays into multiple rows), consider pre-processing your data structure before conversion.
If some records are missing a particular key, or if the key's value is null or undefined, the corresponding cell will appear empty. This is normal and does not affect other data.
Yes. If the input is a single JSON object (rather than an array), the tool will automatically treat it as a single record and generate a table with one row of data.
After opening the CSV file in Excel, click "File" β "Save As" and select "Excel Workbook (.xlsx)" format. This preserves all Excel features such as formulas, styles, and filters.