When project development, data integration, or system import requires JSON files, manually opening Excel spreadsheets one by one and copying to organize them is not only time-consuming but also prone to field omissions and file naming confusion. This article uses batch conversion of multiple xlsx tables to JSON format as an example to introduce how to use HeSoft Doc Batch Tool to complete Excel to JSON conversion in office software, helping users import multiple spreadsheet files at once, convert and output them uniformly, reduce repetitive work, and improve file processing efficiency.
In daily office work and data collaboration, Excel spreadsheets are often used to store structured information such as customer feedback, employee records, financial reports, inventory lists, and sales data. However, when this data needs to be provided to program interfaces, front-end pages, data analysis scripts, or business systems, many scenarios require the use of JSON format. If there are only one or two Excel files, manual conversion is acceptable; but once the number of files increases—for example, dozens of xlsx spreadsheets need to be converted to json files—opening, saving as, copying, and verifying each one becomes very inefficient.
The problem addressed in this article is clear: how to batch convert many Excel spreadsheet files to JSON format, while maintaining file name correspondence as much as possible, to facilitate subsequent development, importing, and archiving. The screenshots show operations using the office software " HeSoft Doc Batch Tool ". Its core value is batch processing files, reducing repetitive work, and is suitable for office personnel and technical collaborators who frequently handle format conversion tasks for files like Excel, Word, PDF, and images.
Applicable Scenarios: When do you need to batch convert Excel to JSON?
Converting Excel to JSON is not a requirement only encountered by programmers. During business data circulation in many enterprises, business personnel first maintain data in Excel before handing it over to systems or platforms for use. In such cases, batch converting Excel spreadsheets to JSON format can reduce communication costs and allow data to enter the next stage faster.
Common scenarios include:
- System Data Import: Some backend systems, configuration platforms, or interface tools support importing JSON files. Business data is first organized into xlsx, then batch converted to json.
- Front-end or Mini Program Data Configuration: Content like product lists, activity configurations, page copy, and regional information is often maintained in Excel, requiring conversion to JSON during the development phase.
- Data Exchange and Interface Testing: During interface debugging, automated testing, or mock data construction, JSON files are easier for scripts to read than Excel files.
- Multi-department Data Aggregation: Different departments submit multiple Excel spreadsheets, such as customer_feedback.xlsx, employee_records.xlsx, financial_report.xlsx, which need to be uniformly outputted as JSON files.
- Batch Archiving and Format Standardization: Converting scattered Excel files into a unified json format facilitates subsequent retrieval, comparison, and programmatic processing.
If you are searching for methods like "batch Excel to JSON," "xlsx to json," or "convert multiple Excel files to json files," the steps in this article can serve as a direct reference. It should be noted that the source files in the screenshot examples are in xlsx format; whether other Excel formats like xls are applicable depends on the actual import recognition results of the software.
Result Preview: Multiple Excel Files Before Processing, Corresponding JSON Files Generated After
Before the formal operation, let's look at the before-and-after effects of this conversion. Before processing, there are multiple Excel spreadsheet files in the folder, with file names corresponding to different business data, such as customer feedback, employee records, financial reports, inventory lists, marketing analysis, product catalogs, project timelines, and sales data. These files are all xlsx spreadsheets and need to be uniformly converted to JSON format.
From the pre-processing screenshot, it can be seen that the source files maintain the Excel icon and xlsx extension. For office scenarios requiring batch processing, the focus is not on whether a single file can be converted, but whether the same batch of files can be imported into the conversion task at once, avoiding repeated execution of the same operation.
After processing is complete, the same batch of files has become JSON files, with the main part of the file name kept consistent, only the extension changed from .xlsx to .json. For example, customer_feedback.xlsx corresponds to customer_feedback.json after conversion, and employee_records.xlsx corresponds to employee_records.json. This naming convention facilitates quick verification of conversion results and makes it convenient for subsequent systems or scripts to call by name.
This "one-to-one" conversion result is ideal for batch file processing: business personnel can intuitively see which spreadsheets have completed format conversion, and technical staff can directly obtain structured JSON files for continued use.
Operation Steps: Using Office Software to Batch Convert Excel to JSON
Following the screenshot sequence, the following explains how to complete Excel to JSON conversion in HeSoft Doc Batch Tool . The entire process can be summarized as: enter the Excel tools, select the Excel to Json function, import the spreadsheet files to be processed, confirm the list, then proceed to set the save location and start processing.
Step 1: Open the Software and Enter the Excel Tools Category
After launching HeSoft Doc Batch Tool , you can see multiple tool categories in the left navigation bar, including Home, Task Flow, All Tools, File Name, Folder Name, File Organizing, Word Tools, Excel Tools, PowerPoint Tools, PDF Tools, Text Tools, Image Tools, etc. Since this task involves converting Excel spreadsheets to JSON, you first need to click Excel Tools on the left.
On the Excel Tools page, the software displays various Excel-related batch processing functions in card format. As seen in the screenshot, this includes options like Excel to JPG Image, Excel to Docx, Excel to PDF, Excel to Csv, Excel to HTML Webpage, Excel to XML, etc. Since we need to perform JSON format conversion, select the Excel to Json function on the page.
The purpose of this step is to tell the software the file type to be processed and the target output format. After selecting the correct function, subsequently imported Excel files will enter the dedicated "Excel to Json" task flow.
Step 2: Enter the Excel to Json Task Page
After clicking "Excel to Json," you will enter the corresponding processing page. The top of the page displays the current function name as Excel to Json, and it shows that the process is divided into three stages: Select records to process, Set save location, and Start processing.
This step-by-step process is crucial for batch conversion. The first step confirms which Excel files to process, the second step decides where the converted json files will be saved, and the third step initiates execution uniformly, preventing accidental operations before all files are selected.
Step 3: Import Excel via "Add Files" or "Import Files from Folder"
At the top right of the task page, you can see two main import entries: Add Files and Import Files from Folder. If you only need to convert a few specific Excel files, use Add Files; if a folder contains a large number of xlsx spreadsheets pending conversion, using Import Files from Folder is more efficient.
The screenshot highlights these two import buttons, and the task list already shows 8 records. The table lists information such as serial number, name, path, extension, creation time, modification time, and actions. With this information, users can check if the correct files are selected before starting the conversion. For instance, the files imported this time include customer_feedback.xlsx, employee_records.xlsx, financial_report.xlsx, inventory_list.xlsx, marketing_analysis.xlsx, product_catalog.xlsx, project_timeline.xlsx, and sales_data.xlsx.
The expected outcome of this step is: all Excel files that need to be converted to JSON appear in the list, and the record count matches the actual number of files to be processed. The bottom of the screenshot shows a record count of 8, indicating that 8 Excel files are currently in the pending processing queue.
Step 4: Review the Pending List, Remove Unnecessary Files if Needed
The biggest risk in batch file processing is selecting the wrong files, especially when the folder contains outdated spreadsheets, temporary spreadsheets, or files that do not need conversion. The screenshot shows an action area on the right side of each row, displaying a delete icon. If it's found that a particular Excel file should not be part of this conversion, it can be removed in that row's action area.
When reviewing the list, it's recommended to check three main items: whether the file name is correct, whether the path comes from the target folder, and whether the extension is the expected Excel format. The extension column in the screenshot shows xlsx, indicating that Excel workbook files were imported. Confirming correctness before proceeding to the next step reduces the probability of rework after batch output.
Step 5: Click "Next" to Set the JSON File Save Location
Once the pending files are confirmed, click Next at the bottom of the page. According to the page flow instructions, the next stage is "Set save location." The purpose of this step is to specify where the converted json files are outputted, preventing the generated files from being scattered across different directories.
In actual office work, it's recommended to create a dedicated folder for the conversion results, such as "Excel to JSON Results" or "json_output." This way, the Excel files before processing and the JSON files after processing can be managed separately. For files that need to be delivered for development, testing, or platform import, having a unified save location also facilitates compression, packaging, and version archiving.
Step 6: Enter the "Start Processing" Stage and Wait for Completion
After setting the save location, continue to the "Start processing" stage. The software will then batch execute the Excel to JSON format conversion according to the pending list. Users do not need to open spreadsheets one by one, nor do they need to manually export each one.
Once processing is complete, you can check the results at the output location and verify them against the pre-processing file names. Generally, the ideal result of batch conversion is that the main part of the file name remains consistent, with the extension changed to json. Referring back to the before-and-after comparison images, you can see that the converted files include customer_feedback.json, employee_records.json, financial_report.json, inventory_list.json, etc., corresponding one-to-one with the original Excel files.
FAQ and Notes
1. Do I need to tidy up the Excel spreadsheet content before conversion?
It's recommended to check the headers, data rows, and blank areas of the Excel spreadsheet before conversion. JSON is typically used for structured data; irregular headers, too many merged cells, and mixed empty columns or rows can affect subsequent use. Although this article focuses on the batch conversion process, the quality of the source data still determines whether the JSON file is easy to read and parse.
2. Can an entire folder be imported at once?
As seen in the screenshots, the software provides the "Import Files from Folder" entry. For a large number of Excel files in the same directory, this method is more suitable for batch office scenarios than adding them one by one. After importing, it's still advisable to check the record count and file names in the list to confirm there are no omissions or incorrect selections.
3. Will the file names change?
From the before-and-after screenshots, the example files retained the main body of their original file names after conversion, with only the extension changed to json. This naming convention facilitates verification, for example, sales_data.xlsx corresponds to sales_data.json. However, in actual operation, it's still recommended to check the output directory after conversion to confirm the file count and names meet expectations.
4. Can both xls and xlsx be converted to JSON?
The example files in the screenshots have the xlsx extension, and the function name is "Excel to Json." If your files are in xls, xlsm, or other Excel formats, it's advisable to try importing them into the software first to see if they can be recognized; alternatively, you can first uniformly convert them to xlsx before executing the JSON conversion. This can reduce format compatibility issues.
5. How to verify the results after batch conversion?
The simplest method is to compare whether the number of Excel files before processing matches the number of JSON files after processing, and then spot-check a few key file names to see if they correspond. If these JSON files are to be used by a program, you can also ask technical staff to sample and open them to verify whether the field structure meets the import requirements.
Summary: Making Excel to JSON More Efficient with Batch Processing
The core difficulty in converting many Excel spreadsheet files to JSON format lies not in converting a single file, but in how to process a batch of files stably and efficiently. Using office software like HeSoft Doc Batch Tool , repetitive format conversion steps can be consolidated into a single task: first select the Excel to Json function, then batch add files or import from a folder, confirm the list, set the save location, and finally start processing uniformly.
For users who frequently need to handle xlsx to json conversion, Excel data export to JSON, or batch spreadsheet file conversion, this workflow can significantly reduce manual operation time and lower the risks of missed conversions, incorrect conversions, and naming confusion. If you currently have a batch of Excel files that need to be provided for systems, interfaces, or development use, you can prepare the source files following the steps in this article, open the software, and directly create a batch conversion task to quickly generate the corresponding JSON files.