How to Convert Excel to JSON Easily With No Data Loss

Convert Excel to JSON format quickly and make your spreadsheet data ready for apps, APIs, and databases. For a simpler way to create structured JSON, use Kimi Sheets to automate conversion, organize complex data, and keep your output accurate and ready to use.

10 min read2026-08-12
Convert Excel to JSON with Kimi Sheets

Excel is widely used for managing information, but sharing that data with modern tools can be challenging when they need a format like JSON. Moving data manually can be confusing, especially when dealing with large sheets or complex records. With the right method, you can convert Excel to JSON smoothly and prepare your files for better compatibility with websites, software, and databases. Keep reading to discover an easier way to handle this conversion without unnecessary complications.

Overview of 2 methods for converting Excel to a JSON file

Different methods are available depending on how the spreadsheet data needs to be converted. Kimi Sheets offers an AI-powered approach that simplifies the process with minimal manual work, while Excel's built-in VBA method provides greater control for creating JSON files manually.

ToolApproachData HandlingIdeal user
Kimi SheetsAI-powered conversionAutomatically understands and structures spreadsheet dataUsers who want a quick and simple workflow
Excel's VBACode-based automationUses custom scripts to transform spreadsheet valuesUsers comfortable with Excel macros

How to convert Excel to a JSON file using Kimi Sheets?

Kimi Sheets is an AI Excel agent that helps automate data tasks like file conversion and organization. It can analyze Excel files, understand data structures, and convert spreadsheets into JSON format while keeping information accurate. This makes it easier to prepare structured data for apps, APIs, and databases without manual coding. Here's how to convert Excel to JSON online with Kimi Sheets.

Step 1: Upload the Excel file and enter a prompt

Upload your Excel spreadsheet to Kimi Sheets, then enter a prompt asking it to convert the file into JSON. After that, submit the request to begin the conversion process.

Example prompt:

Convert the uploaded Excel file into a JSON file. Keep all rows and columns accurately organized. Use column names as JSON keys and each row as a separate object. Preserve all data values without changing the original information. Generate a clean JSON output ready for use in applications and APIs.
Upload the Excel file and enter a prompt

Step 2: Let AI process and generate results

After receiving your instructions, Kimi Sheets analyzes the Excel file, identifies the table structure, and converts the spreadsheet data into a properly formatted JSON structure. The AI handles transformation automatically while maintaining the accuracy and organization of your information.

Let AI process and generate results

Step 3: Preview and download the JSON file

Once the conversion is complete, review the generated JSON output to ensure the data is correctly structured.

Preview and download the JSON file

After confirming the results, you can download the JSON file and use it for your apps, databases, or API integrations.

Download the JSON file

Key features of Kimi Sheets

  • Convert Excel files into structured JSON data: Transform XLSX files into clean JSON formats for APIs, databases, applications, and data workflows without manual restructuring. It helps developers and teams create ready-to-use structured data faster.

  • Handle complex spreadsheet data intelligently: Process large datasets, organize messy tables, and identify data relationships before converting Excel files into structured JSON. It can understand complicated spreadsheet patterns and improve conversion accuracy.

  • Automatically map columns and data fields: Convert spreadsheet columns into JSON keys and organize rows into structured objects, reducing the need for manual data mapping. This makes output more consistent and easier to integrate.

  • Clean and transform data before export: Fix inconsistent formats, remove unnecessary data, and reshape spreadsheet content to create more accurate JSON outputs. It ensures converted files remain clear, organized, and reliable for future use.

  • Generate insights and analyze spreadsheet data: Use AI-powered spreadsheet capabilities to summarize data, create charts, and explore information before converting it into JSON. This helps users understand their data before creating final outputs.

  • Batch process multiple Excel files: Convert multiple XLSX files into JSON in one workflow, saving time when handling large amounts of spreadsheet data. It simplifies bulk conversions and improves productivity for repeated tasks.

How to convert Excel to JSON using Excel's VBA?

If you want to convert Excel to a JSON file without using external tools, VBA provides a built-in way to automate the process. By creating a simple macro, you can extract spreadsheet values, structure them properly, and generate a JSON file. Follow the steps below to convert your Excel file into JSON using VBA.

Step 1: Open the VBA editor in Excel

Open your Excel file and go to "Developer" from the top menu. Then select "Visual Basic" to open the VBA editor where you can create and run your conversion macro.

Open the VBA editor in Excel

Step 2: Add a new VBA module

In the VBA window, click "Insert" and choose "Module" to create a new space for your code. This module will contain the VBA script required to convert your spreadsheet data into JSON format.

Add a new VBA module

Step 3: Add the VBA JSON conversion code

Paste a VBA script into the module that reads your worksheet data and converts rows and columns into JSON objects. Make sure the code matches your data structure and includes the required output format.

Private Sub CommandButtonExport_Click()

    Dim rng As Range
    Dim items As New Collection
    Dim item As Object
    Dim cell As Variant
    Dim myJSONFile As Variant
    Dim jsonText As String
    Dim fso As Object
    Dim file As Object
    Dim i As Integer

    myJSONFile = Application.GetSaveAsFilename( _
        FileFilter:="JSON File (*.json), *.json", _
        Title:="Select folder and file name to save")

    If myJSONFile <> False Then

        Set rng = Range("A2:A4")

        For Each cell In rng

            Set item = CreateObject("Scripting.Dictionary")

            item("id") = cell.Value
            item("name") = cell.Offset(0, 1).Value
            item("price") = cell.Offset(0, 2).Value
            item("quantity") = cell.Offset(0, 3).Value

            items.Add item

        Next cell

        jsonText = "["

        For i = 1 To items.Count

            jsonText = jsonText & "{"
            jsonText = jsonText & """id"":""" & items(i)("id") & ""","
            jsonText = jsonText & """name"":""" & items(i)("name") & ""","
            jsonText = jsonText & """price"":" & items(i)("price") & ","
            jsonText = jsonText & """quantity"":" & items(i)("quantity")
            jsonText = jsonText & "}"

            If i < items.Count Then
                jsonText = jsonText & ","
            End If

        Next i

        jsonText = jsonText & "]"

        Set fso = CreateObject("Scripting.FileSystemObject")
        Set file = fso.CreateTextFile(myJSONFile, True)

        file.Write jsonText
        file.Close

    End If

End Sub
Add the VBA JSON conversion code

Step 4: Run the VBA macro

Return to Excel and select "Macros" from the "Developer" tab. Choose your JSON conversion macro and click "Run" to start processing your spreadsheet data.

Run the VBA macro

Step 5: Save the generated JSON file

After the macro completes the conversion, check the created JSON output file in your selected location. Open the file to verify that your Excel data has been converted correctly and is ready for use.

Save the generated JSON file

Tips when creating JSON from Excel

Preparing your spreadsheet correctly before conversion helps create accurate and reliable JSON files. When creating JSON from Excel, following a few simple practices can improve data quality and prevent conversion issues. These tips will help you generate cleaner JSON outputs that are ready for different uses.

  • Clean and standardize your Excel data first

A well-organized spreadsheet makes the conversion process smoother and improves the quality of the final output. Remove empty rows, duplicate records, and inconsistent formatting to keep your data clean. These changes help export Excel to JSON with fewer errors and better accuracy.

  • Use clear column names as JSON keys

When you export from Excel to JSON, use simple and meaningful column names because they usually become JSON keys. Clear headers make the final structure easier to read, manage, and integrate with applications. Avoid confusing names or unnecessary characters to maintain better organization.

  • Check data types before conversion

Before converting Excel to JSON, decide how the data should be arranged. Choose between simple objects, arrays, or nested structures based on how JSON will be used. Planning the structure in advance creates a more efficient and practical output.

  • Plan your JSON structure in advance

Understanding how your data will be used helps you choose the right JSON format. Decide whether you need simple objects, arrays, or nested structures before starting the conversion process. Proper planning makes it easier to convert XLS to JSON online for apps and APIs.

  • Validate the generated JSON file

After you export XLS to JSON, review the output to find missing fields, formatting problems, or incorrect data mapping. Validation ensures that the converted file matches your original spreadsheet information. Checking the final JSON improves reliability before using it in apps or APIs.

Conclusion

Converting spreadsheet information into a structured format becomes easier when you use a clear and reliable approach. A proper workflow helps maintain accuracy and makes creating JSON from Excel smoother for different data needs. Choosing the right conversion method can reduce manual effort and improve your overall process. For a quicker and more efficient experience, try Kimi Sheets to simplify your Excel-to-JSON tasks. Start transforming your spreadsheet data with an AI-powered solution today.

FAQ

Why create JSON files from Excel data?
Creating JSON files from Excel data makes spreadsheet information easier to use with modern applications, APIs, and databases. JSON provides a structured format that allows different systems to exchange and process data efficiently. It is especially useful for developers who need organized data for software projects. Converting Excel data into JSON also reduces the need for manual data entry.
How do I prepare Excel data before creating JSON?
Before creating JSON, make sure your Excel sheet is clean, organized, and free from unnecessary errors. Remove duplicate entries, empty rows, and inconsistent formatting to improve the quality of the output. Use clear column names and ensure each field contains the correct type of data. Proper preparation helps create a more accurate and reliable JSON file.
Can I create JSON from multiple Excel files at once?
Yes. If you need to convert multiple Excel files into JSON, Kimi Sheets can help streamline the process by processing multiple spreadsheets in a single workflow. Instead of converting each file individually, it helps organize and standardize your data before generating consistent JSON output, saving time and reducing repetitive manual work. This is especially useful for businesses, developers, and teams working with large datasets or preparing data for APIs, databases, and applications.
Can AI tools help create JSON from Excel?
AI tools can simplify the process by analyzing Excel files and converting data into structured JSON formats automatically. They can identify columns, organize records, and reduce the need for manual coding. These tools are helpful for users who want faster and more accurate conversions. AI-powered solutions can also assist with cleaning and preparing data before export.
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