JSON to Excel Converter – Export JSON to XLSX, CSV, PDF
Transform JSON files, arrays, and objects into formatted Excel spreadsheets (.xlsx, .xls), CSV, TSV, PDF, or HTML tables with customizable headers and column flattening.
Quick Overview & Features
The JSON to Excel Converter converts API response objects, database dumps, and JSON documents into structured spreadsheet rows and columns.
- Multiple Formats (XLSX, XLS, CSV, TSV, PDF, ODS)
- Auto-Flatten Nested Objects & Arrays
- Custom Table Styling & Headers
How to Convert JSON to Excel in 3 Easy Steps
Follow this step-by-step process to transform JSON data into Excel spreadsheets:
Input JSON Payload
Paste raw JSON code, upload a .json file, or fetch a remote API URL endpoint.
Select Output Format
Choose Excel (.xlsx, .xls), CSV, TSV, PDF, or ODS and configure table styling.
Convert & Download
Click Convert to generate the file and download your spreadsheet directly to your computer.
Supported Output Formats & Specs
Our converter supports multiple spreadsheet, tabular, and document formats:
Professional JSON to Excel Conversion Tool
Converting JSON arrays and objects into Microsoft Excel spreadsheets is a fundamental requirement for data analysts, software engineers, and business operators. While JSON is the standard format for web API payloads, non-technical stakeholders require Excel .xlsx or CSV files for data analysis, reporting, and financial auditing.
Automated Object Flattening & Nested Mapping
Hierarchical JSON structures often contain nested objects (such as address details or metadata objects). Our converter automatically flattens nested keys into dot-separated column headers (e.g. user.address.street, user.address.zipcode). This guarantees that complex JSON documents parse cleanly into Excel rows without losing information.
Enterprise Code Integration (Python, C#, Node.js)
While our online tool allows instant web conversion without installing software, similar functionality can be implemented programmatically using Python's pandas.read_json() and to_excel() methods, JavaScript's xlsx (SheetJS) library, or C# .NET's EPPlus and ClosedXML packages.
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Frequently Asked Questions
[{"id":1, "name":"Alice"}]), single JSON objects, and nested JSON structures.profile.name).