When project integration, data import, or interface development requires JSON files, manually opening Excel files one by one to save or copy data is time-consuming and prone to errors like missing conversions or inconsistent naming. This article uses HeSoft Doc Batch Tool as an example to demonstrate how to batch convert multiple xlsx spreadsheets to JSON files at once. It also explains the workflow, save location settings, and precautions with before-and-after images, helping users quickly complete the Excel-to-JSON conversion task.
In daily office work, data organization, and system integration, much data is initially stored in Excel tables, such as customer feedback, employee records, financial statements, inventory lists, marketing analyses, product catalogs, project progress, and sales data. Tables are convenient for manual review and maintenance, but when this data needs to be provided to websites, program interfaces, low-code platforms, or data processing scripts, the JSON format is often more suitable. If there are only one or two files, manual handling is acceptable; but once there are dozens or hundreds of Excel files that need to be converted to JSON, opening, copying, exporting, and renaming them one by one becomes repetitive labor, wasting time and easily leading to missed files or jumbled results due to operational fatigue.
This article addresses the problem of "batch converting many Excel table files to JSON format." The following uses the office software HeSoft Doc Batch Tool as an example, combining screenshots to illustrate the complete process from selecting the tool, importing files, proceeding to the next step, and obtaining the resulting JSON files. The positioning of this software is a document batch processing tool, suitable for submitting large volumes of files to a unified process, reducing repetitive manual clicks, and is especially suitable for office scenarios requiring frequent Excel to JSON, xlsx to JSON, or Excel file format conversions.
Applicable Scenarios: When do you need to batch convert Excel to JSON?
Excel to JSON conversion is not merely a format change; it typically occurs in data delivery, system import, development integration, and data archiving processes. For example, the operations department might compile multiple customer feedback forms that need to be handed over to a technical colleague for system import; the HR department maintains employee record forms needing to generate structured data for internal platform use; financial, inventory, and sales reports need to enter the data analysis workflow; product catalogs and project timelines need to be read by programs. These scenarios have a common point: the original data is scattered across multiple Excel files, while the target environment is better suited to reading JSON files.
If done manually, each file must be processed individually. The filenames also need to maintain a corresponding relationship, otherwise it's difficult to determine which JSON file comes from which table during later use. Through the "Excel to JSON" feature of HeSoft Doc Batch Tool , you can add multiple Excel files to the same task list and let the software output JSON files in batch according to unified rules. This not only saves time but also keeps filenames relatively consistent, facilitating subsequent lookup, transfer, and use.
Result Preview: Before processing are multiple Excel table files
From the pre-processing screenshot, you can see the files to be converted are all Excel tables with the extension .xlsx, including filenames like 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 typically have different sources and content but all need unified conversion to JSON format.
Before processing, the main concerns are the number and type of files. The screenshot shows 8 xlsx files. If converted manually one by one, even if each takes only a minute or two, it still creates a significant time cost; if the number expands to dozens or more, manual operation becomes even more inefficient. The value of batch processing lies in merging the processes of "repeatedly opening files, repeatedly selecting the format, and repeatedly saving" into a single task.
Result Preview: After processing, JSON files with the same names are obtained
The post-processing screenshot shows that the original Excel files have been correspondingly converted into JSON files, with extensions changed to .json, for example, customer_feedback.json, employee_records.json, financial_report.json, inventory_list.json, marketing_analysis.json, product_catalog.json, project_timeline.json, and sales_data.json. You can see the main body of the filename remains unchanged, only the format has been converted from xlsx to json, which is very important for subsequent verification.
These processing results are suitable for direct delivery to developers, data processors, or for use in automation scripts. Since the output files and source files maintain a correspondence in name, users do not need to re-establish a mapping relationship and are less likely to encounter the problem of "not knowing which table a converted file corresponds to." For teams that frequently process data files, this type of batch conversion can significantly reduce communication costs.
Operation Steps: Using HeSoft Doc Batch Tool to Batch Convert Excel to JSON
Step One: Enter the Excel tool category and find the Excel to JSON feature
After opening HeSoft Doc Batch Tool , you can see different categories of tools on the left side, such as Word Tools, Excel Tools, PowerPoint Tools, PDF Tools, Text Tools, and Image Tools. Since the processing target is Excel table files, you need to first click the Excel Tools category on the left. After entering Excel Tools, the right side will display multiple batch processing functions related to Excel files.
In the screenshot, you can see the tool list includes 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 other functions. What we need to use this time is "19. Excel to JSON", whose description is "Batch convert Excel files to JSON format." After clicking this function card, you will enter the corresponding conversion task page.
The purpose of this step is to ensure you are not selecting single-file processing or other format conversions, but specifically the function for batch Excel to JSON conversion. For users who frequently need to do xlsx to JSON or Excel to JSON, finding the corresponding format first in the Excel Tools category helps avoid searching back and forth between multiple menus.
Step Two: Add the Excel files to be converted
After entering the "Excel to JSON" page, the current function name is displayed at the top interface. The page process is divided into several stages: select records to be processed, set the save location, and start processing. The first task is to import the files to be processed. In the upper right corner of the screenshot, you can see two main entry points: Add Files and Import files from a folder.
If the number of Excel files to convert is small or they are scattered in different locations, you can click "Add Files" and manually select the xlsx files to process. If all Excel files are already organized in the same folder, using "Import files from a folder" is more recommended, as it allows you to add related files within the folder to the task list at once, reducing the effort of selecting them one by one.
In the screenshot, the task list has successfully imported 8 files. The table lists the sequence number, name, path, extension, creation time, modification time, and an action column. Users can check if the import is complete through the list, for example, confirming whether customer_feedback.xlsx, employee_records.xlsx, financial_report.xlsx, etc., are all in the list. The bottom also shows a record count of 8, allowing for a quick count confirmation. Each row has a delete action on the right; if a certain file does not need to be converted, it can be removed before starting the process.
Step Three: Confirm the task list and click Next
After adding files, it's not recommended to continue immediately but to first verify the task list. Mainly check three points: first, are the filenames correct; second, are the paths from the expected folder; third, is the extension an Excel file type. In the screenshot, the extensions are all xlsx, indicating the imported files are Excel table files. After confirming there are no errors, click the Next button at the bottom of the page.
The purpose of this step is to switch from the file selection stage to the subsequent save location setting stage. The advantage of batch processing software is handling multiple files at once, but the premise is that the task list is accurate. If errors are found at this step, you can use the Clear button in the upper right to reorganize the list, or remove unnecessary files using the delete button in each row before proceeding to the next step.
Step Four: Set the save location for JSON files
The second step in the interface flow is "Set Save Location." Although the screenshot mainly shows the file import page, the progress bar clearly indicates that after completing file selection, you need to set the save location for the result files. This step is very critical because batch conversion will generate multiple JSON files, and if the save location is unclear, subsequent searching will be more troublesome.
It is suggested users create a dedicated output folder before conversion, such as "ExcelToJSONResults" or "json_output," to store the converted files. This separates the source xlsx files from the target JSON files, preventing them from being mixed up and causing accidental deletion or overwriting. For project delivery scenarios, you can also create folders based on project name, date, or data batch to facilitate later traceability.
Step Five: Start processing and check the output results
After setting the save location, enter the "Start Processing" stage of the workflow. After clicking start processing, the software will process each Excel file in the task list one by one and generate corresponding JSON files. Once processing is complete, the user should open the output directory to check: verify that the number of files matches the task list, check that the file extensions are .json, and confirm the filenames correspond one-to-one with the original Excel files.
Based on the post-processing screenshot, you can see that the 8 xlsx files have been converted to 8 JSON files, and the main body of the filenames remains consistent. This indicates the batch conversion task is complete. Compared to manual processing, the entire workflow only requires selecting the function, importing files, setting the save location, and starting the process, significantly reducing repetitive labor.
Common Questions and Notes
1. Why is it recommended to organize the source folder first?
During batch conversion, the more files there are, the more necessary it is to organize them beforehand. Placing the Excel files to convert in the same folder and then using "Import files from a folder" can reduce the possibility of missing selections. If files are scattered across different directories, it's recommended to copy them to a unified directory first, or add them to the task list in batches.
2. Will the filename affect recognition after conversion?
From the result preview images, the converted JSON files retain the main body name of the source Excel files, only changing the extension. Therefore, it is recommended to use clear, stable file naming conventions before conversion, such as naming by business type, date, department, or data batch. This allows you to quickly determine the source of each JSON file after conversion.
3. Do I need to check the Excel files before batch conversion?
Checking is recommended. Although the tool can process files in batches, if the source tables themselves contain empty files, damaged files, or files that don't need conversion, it may affect the final organization efficiency. Before conversion, you can first confirm that the files open normally and the table content is the data needed for this task, then import them into the software for processing.
4. How should I verify the JSON files after output?
The most basic verification method is to compare the quantity and names. For instance, if the task list has 8 xlsx files, the output directory should also have 8 JSON files; customer_feedback.xlsx should correspond to customer_feedback.json. For important data, you can also spot-check the content of some JSON files to confirm the data structure meets the requirements for subsequent use.
Summary: Reduce Repetitive Effort in Excel to JSON Conversion with Batch Processing
The core value of batch converting Excel table files to JSON format is not just "changing the extension," but entrusting a multi-file, repetitive, and error-prone office workflow to a tool for unified completion. Through HeSoft Doc Batch Tool , users can select "Excel to JSON" in the Excel Tools, create a task list by adding files or importing files from a folder, then set the save location and start processing, finally obtaining JSON files corresponding to the source files.
If you frequently need to perform Excel to JSON, xlsx to JSON, batch export JSON data, and similar tasks, it is recommended to organize source files into a fixed directory and use a specialized office batch processing tool for the conversion. This saves time spent on individual operations and reduces the risk of missed conversions, incorrect naming, and jumbled results, making the data delivery and file organization process more efficient.