JSON files are widely used for storing structured data, but their nested format can make information difficult to read, analyze, and manage. Converting JSON to Excel helps transform complex data into a more accessible spreadsheet format. This guide explains two simple methods to convert JSON files into Excel spreadsheets using an AI tool and Excel Power Query.
Overview of 2 methods to convert JSON files to Excel
If you want a traditional Excel-based approach, continue with the Power Query method to import and structure JSON data manually. However, if you prefer a faster AI-assisted workflow with less formatting work, jump to the Kimi Sheets method for automated conversion and data organization.
| Feature | Kimi Sheets | Excel Power Query |
|---|---|---|
| How it works | Uses AI to analyze JSON structures, extract key fields, and automatically organize data into a formatted Excel spreadsheet | Imports JSON files through Excel's built-in Power Query tool and manually transforms the data into a table format |
| Automation level | High — automatically understands data structures and handles formatting with minimal manual steps | Medium — requires users to select fields, expand data, and adjust the table structure manually |
| Data handling capability | Handles complex JSON structures, including nested objects and arrays, and automatically maps fields into Excel columns | Supports JSON import and transformation but may require manual adjustments for complex structures |
| Key advantage | Saves time by automating JSON analysis, organization, and spreadsheet formatting | Provides flexible data transformation options for users familiar with Excel |
| Ease of use | Very Easy | Medium |
| Suitable for | Users who want a fast, AI-assisted conversion with less manual formatting | Users who need more control over data transformation within Excel |
How to convert JSON to Excel using Kimi Sheets?
Kimi Sheets is an AI Excel agent that provides an AI-powered way to process and organize data files with less manual work. It can analyze JSON structures, extract key information, and convert complex data into well-formatted Excel spreadsheets. With its automated workflow, users can quickly transform JSON files into clean, editable sheets while maintaining data accuracy.
Step 1: Upload your JSON file and enter a prompt
Upload your JSON file to Kimi Sheets and provide a clear instruction prompt explaining how you want the data to be organized. The AI will understand your request and prepare the conversion process.
Example prompt:
Step 2: Let AI process and generate results
Kimi Sheets analyzes the JSON structure, extracts the required information, and converts the data into a properly formatted spreadsheet automatically.
Step 3: Review and download your Excel file
Check the generated Excel file to ensure the data is arranged correctly. Once satisfied, download the spreadsheet and use it for further editing or analysis.
Key features of Kimi Sheets
Handle complex JSON structures with ease: Kimi Sheets can understand complex JSON formats, including nested objects and arrays. It automatically organizes these structures into a clear Excel layout without requiring manual data preparation or flattening.
Automatically map JSON fields to Excel columns: Kimi Sheets identifies different JSON keys and converts them into properly labeled Excel columns. This removes the need to create headers manually and keeps your spreadsheet organized and consistent.
Convert large JSON files efficiently: Whether you're working with API responses, application logs, or exported datasets, Kimi Sheets can quickly handle large JSON files, reducing manual processing time.
Clean and organize data during conversion: Kimi Sheets improves spreadsheet readability by organizing records and standardizing data formats during conversion. It can also help remove unnecessary fields to create cleaner, more useful Excel files.
Generate editable Excel spreadsheets: The converted Excel files remain fully editable after processing. You can easily sort, filter, update, and analyze your data without spending extra time on formatting.
How to convert JSON to Excel using Excel's Power Query tool?
If you already have a JSON file and want to view it in a more organized format, Excel provides a simple way to import and structure the data. By using the built-in data import options, you can convert JSON content into a readable spreadsheet. Here's how to convert a JSON file to Excel using the Power Query tool.
Step 1: Open Excel and import the JSON file
Open Excel and go to the "Data" tab. From the "Get Data" menu, select "From File" and choose "From JSON", then upload your JSON file from your device.
Step 2: Convert JSON data into a table
In the Power Query Editor, right-click the imported JSON data (usually displayed as a List or Record) and select "To Table" to convert the structured data into a table format.
Click the expand icon (the two arrows) in the column header, uncheck "Use original column names as prefix" in the dialog box, and then click "OK" to expand the fields.
Step 3: Load JSON data into an Excel worksheet
Click the "Close & Load" option to import the converted data into a new Excel worksheet.
Excel will automatically place the structured JSON data into rows and columns.
Step 4: Save the Excel file
Once the data appears in the worksheet, go to the "File" tab and select "Save As" to save your converted JSON file as an Excel workbook. You can now edit and analyze the data easily.
Practical tips for converting JSON to Excel files
Before converting your data, a few simple checks can help you get better results and avoid formatting issues. Following these practical tips makes the process smoother and ensures your spreadsheet remains accurate and easy to manage.
Validate the JSON structure before conversion Before you convert JSON to XLS, check that your JSON file is properly formatted and does not contain errors. A valid structure helps prevent missing data, conversion failures, or incorrect spreadsheet layouts during the entire conversion process.
Check for nested objects and arrays JSON files often contain nested objects and arrays that may not display properly in Excel without proper handling. Reviewing these elements before converting JSON files to Excel helps you decide how the information should be arranged for better readability and organization.
Choose clear and meaningful column headers Well-defined column headers make your Excel file easier to understand and analyze. When you convert JSON to an Excel file, use names that clearly describe the data stored in each column for better readability and smoother data management.
Flatten complex JSON data where needed Complex JSON structures may contain multiple levels of information that are difficult to view in a spreadsheet. Flattening this data before conversion helps create a cleaner format with simple rows and columns that are easier to edit and process.
Keep data types consistent across columns Maintaining consistent data types ensures your Excel sheet works correctly for sorting, filtering, and analysis. When you convert JSON to XLS, avoid mixing formats like text, numbers, and dates within the same column to maintain data accuracy.
Preview the output before exporting Always review your converted spreadsheet before saving the final file. Checking the output after converting a JSON file to Excel helps identify formatting problems, missing fields, or incorrect data placement before sharing or using the file.
Conclusion
Learning how to convert a JSON file to Excel can help you organize raw data into a more readable and useful format. Whether you choose Excel's built-in tools or an AI-powered solution, the right method can make data handling faster and easier. For a smoother workflow with less manual effort, try Kimi Sheets to simplify JSON conversion and create well-structured spreadsheets in less time. Start using Kimi Sheets today and make your data processing more efficient.