When multiple xlsx files need to be converted to JSON, opening Excel one by one and processing them is not only slow but also prone to file omission. Taking the Excel data format conversion in office scenarios as an example, this article demonstrates how to select the Excel to JSON conversion function in HeSoft Doc Batch Tool . By adding files or importing files from a folder, you can process multiple tables such as customer feedback, employee records, and sales data in one go, ultimately generating corresponding JSON files. It is suitable for batch conversion work before data delivery, interface testing, and system import.
Many teams maintain business data in Excel during daily work, such as customer feedback, employee records, inventory lists, financial reports, product catalogs, project schedules, and sales data. Excel is suitable for manual viewing and editing, but when this data needs to be used in programs, interfaces, configuration platforms, or data processing scripts, JSON is often more convenient. If someone has to manually convert xlsx spreadsheets into JSON files one by one, efficiency drops significantly as the number of files increases.
This article introduces a batch processing approach more suitable for office work: using " HeSoft Doc Batch Tool " to convert multiple Excel files into JSON format in batches. It is a software oriented toward office file processing, with its key value lying in batch file processing, reducing repetitive labor, and improving format conversion efficiency. Below, combined with before-and-after processing screenshots and software operation screenshots, we will explain the complete workflow from selecting the function to importing files and then starting the process.
Applicable Scenarios: Why Batch Convert Multiple Excel Files to JSON
Excel and JSON are suited for different usage scenarios. Excel is better for manual editing, while JSON is better for system reading. When business data moves from the manual maintenance phase to the system usage phase, format conversion becomes an essential step. For a single spreadsheet, manual processing might not be a big problem; but when facing a batch of xlsx files, the manual method brings many low-value operations like repeated clicking, repeated saving, and repeated validation.
The following scenarios are particularly suitable for batch conversion:
- Development Delivery: Business personnel organize data using Excel, and developers need JSON files for page display, API mocking, or configuration reading.
- Platform Import: Some system backends accept JSON data files, while the source materials come from multiple Excel spreadsheets.
- Data Migration: Xlsx files exported from old systems need to be organized into JSON for use by new systems or intermediate programs.
- Test Data Preparation: Testers need to quickly generate multiple sets of JSON test data, while the original test cases or data lists are stored in Excel.
- Data Standardization: Standardizing spreadsheets on different business topics into JSON facilitates subsequent archiving, version management, and automated processing.
In these scenarios, the keyword is not "can it convert," but "can it batch convert." If office software can import multiple Excel files at once and process them uniformly, it significantly reduces repetitive work.
Effect Preview: One-to-One Correspondence Between Source XLSX Files and Output JSON Files
The pre-processing screenshot below shows the Excel files to be converted. As you can see, the folder contains multiple xlsx spreadsheets, such as 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. These files represent different business data; if converted one by one, many identical operations would be repeated.
From an office management perspective, the more source files there are, the more a visual batch processing workflow is needed. Users need to confirm which files participate in the task before conversion and quickly determine whether the results are complete after conversion.
After processing, the original Excel files have been converted to JSON files, with the extension changed to .json. More importantly, the main part of the filenames maintains a corresponding relationship; for example, customer_feedback.xlsx corresponds to customer_feedback.json, and financial_report.xlsx corresponds to financial_report.json. This makes it easier to verify, whether handing over to developers or uploading to a system.
This result is highly suitable for batch data delivery. You can quickly confirm by filename that each business topic has a corresponding JSON output, avoiding the need to reorganize the mapping relationships among numerous files.
Operation Steps: Completing Excel to JSON in HeSoft Doc Batch Tool
The specific operations are explained below following the screenshot order. As the screenshots show a Windows desktop software interface, the operation logic is based on the software pages. The overall process is: enter Excel Tools, select Excel to Json, add or import files, check the pending list, click next to set the save location, and finally start processing.
Step 1: Select Excel Tools in the Left Navigation Bar
After opening HeSoft Doc Batch Tool , first observe the function categories on the left. In the screenshot, the left navigation includes multiple office file processing modules, among which Excel Tools is in the selected state. The target of this task is Excel spreadsheets, so we need to enter this category.
After entering Excel Tools, the main area displays a series of Excel format conversion cards, including Excel to JPG Image, Excel to Docx, Excel to PDF, Excel to Csv, Excel to Xls, Excel to Xlsx, Excel to Txt, Excel to HTML Webpage, Excel to XML, and more. For this specific need, select 19. Excel to Json.
The purpose of this step is to select the target task from many Excel processing capabilities. Only after entering the "Excel to Json" function will the subsequently imported spreadsheets be output in JSON format.
Step 2: Enter the Conversion Page, Understand the Three-Stage Processing Flow
After selecting the function, the software enters the "Excel to Json" page. The current function name is displayed at the top of the page, and the progress hint below is divided into three steps: Select records to be processed, Set save location, Start processing.
This three-stage flow makes batch tasks clearer. The first stage handles importing and confirming files, the second stage specifies where to save the results, and the third stage actually executes the conversion. For users processing many xlsx files at once, this flow avoids the confusion caused by selecting files and processing simultaneously.
Step 3: Use Add File to Import Specific XLSX Spreadsheets
In the upper right area of the conversion page, you can see the Add File button. If the Excel spreadsheets to be converted are scattered in different locations, or if you only want to pick some files from a folder, you can use this entry to add them batch by batch. After adding, the files will appear in the pending list below.
The list displays information such as file name, full path, extension, creation time, and modification time. Through these fields, you can determine whether the files come from the correct directory and whether they are the expected xlsx files. In the screenshot, the paths are located under a desktop test folder, and the extension column shows xlsx, indicating these files have been successfully added to the conversion task.
Step 4: Use Import Files from Folder to Improve Batch Efficiency
If all Excel files to be converted are located in the same folder, it is recommended to use Import Files from Folder. This entry is specifically highlighted with a red box in the screenshot. It is suitable for importing all Excel files from a whole directory at once, especially when processing dozens or hundreds of spreadsheets, saving the time of selecting files one by one.
After importing, the software generates multiple records in the list. The bottom of the screenshot shows a record count of 8, indicating that 8 Excel files are currently waiting for conversion. For batch tasks, the record count is crucial: it helps you confirm whether the imported quantity matches expectations. If there were originally 8 spreadsheets in the source folder, and the list also has 8 records, it indicates the import result is basically correct.
Step 5: Check the List and Clean Up Files Not Needing Processing
Although batch importing is efficient, it might also bring unnecessary files into the task. Therefore, before clicking next, it is advisable to check the pending list item by item. Pay special attention to the Name and Extension columns to confirm that all are Excel spreadsheets to be converted this time. In the screenshot, there is an operation area on the right side of each row; if a record does not need to be processed, it can be removed from that position.
This step seems simple but can reduce later rework. If the wrong files are converted to JSON, they will need to be deleted and reorganized later, wasting time. Especially for data destined for system import, the accuracy of the source files is very important.
Step 6: Click Next, Set the JSON Output Directory
After confirming the file list is correct, click Next at the bottom of the page. The flow enters the "Set save location" stage. The save location determines where the converted JSON files will be generated. It is recommended not to mix them directly in the original Excel directory unless you explicitly need to manage them that way.
A safer approach is to create a new, separate output folder, such as "json results," "Excel to JSON output," or a delivery directory corresponding to the project. This keeps the source files and result files separated, making subsequent checking, compression, uploading, or handover more convenient.
Step 7: Start Processing and Verify Conversion Results
After setting the save location, enter the "Start processing" stage. The software will batch execute xlsx to JSON conversion based on the records in the list. Users just need to wait for the task to complete, without opening each Excel file individually.
After completion, open the output directory to verify the results. You can check against two criteria: First, whether the number of JSON files matches the number of records to be processed; second, whether the main part of the filenames corresponds to the original Excel files. Based on the post-processing screenshot, the conversion results include files like customer_feedback.json, employee_records.json, financial_report.json, inventory_list.json, etc., indicating that each Excel file has a corresponding JSON output.
Common Questions or Notes
1. Should I back up the source Excel files before conversion?
It is recommended to keep the source files. Although format conversion usually outputs new files, retaining the original Excel before batch processing helps to re-process if the field structure, data content, or output results do not meet expectations. Especially for critical data like finances, inventory, and employee records, avoiding relying solely on the converted files is even more important.
2. Will non-standard spreadsheet content affect JSON usage?
Possibly. JSON typically emphasizes the structural relationship between fields and values. If the Excel file contains many merged cells, empty headers, duplicate column names, hidden comment rows, or note areas, subsequent parsing may be inconvenient. It is recommended to standardize the spreadsheet template before batch conversion, making the first row headers, data area, and field naming as consistent as possible.
3. How to reduce missed selections when there are many files?
You can first gather all Excel files needing conversion into one folder, then use "Import Files from Folder" in the software. After importing, check the record count at the bottom and compare it with the actual number of files in the folder. This is easier to manage than adding sporadically from multiple directories.
4. How to deliver the converted JSON files?
If intended for development or system import, it is recommended to compress the JSON files in the output directory uniformly and attach a description of the source Excel or field explanations. Communication costs are lower when the filenames remain consistent with the source spreadsheets.
5. Can it handle other files like doc, docx, or PDF?
This article only covers Excel to JSON. As seen in the left-side categories of the software, it also includes entries for Word tools, PDF tools, Image tools, and other office file processing modules, but different file types correspond to different functions. To process doc, docx, or PDF, you should enter the corresponding tool category and select the appropriate function; do not import non-Excel files into an Excel to JSON task.
Summary: Batch Conversion Makes XLSX to JSON More Suitable for Real Office Scenarios
Batch converting multiple xlsx files into JSON files is essentially a typical office automation need. It eliminates the need for users to repeatedly open each Excel file or manually maintain the converted filenames. With HeSoft Doc Batch Tool , users can select "Excel to Json" in Excel Tools, then add files via "Add File" or "Import Files from Folder" to include multiple spreadsheets into the task list at once, then set the save location and start processing uniformly.
This method is particularly suitable for scenarios like data delivery, system import, interface testing, frontend configuration, and data archiving. Compared to manual conversion, it saves significant time on repetitive operations and reduces the risk of missed conversions and file mismatches. If you currently have a batch of Excel spreadsheets that need to become JSON files, it is recommended to organize the source folder first, then follow the steps in this article to use the batch processing workflow to complete the conversion.