When a large number of images are embedded in multiple Excel tables, copying and saving them one by one wastes a lot of time and often leads to mismatches between images and their numbers. This article introduces a more efficient processing method: use HeSoft Doc Batch Tool to import multiple Excel files, extract the images from cells, and select a specified column as the file name source, so that the exported PNG images are automatically named according to employee numbers, product codes, or other cell content.
Many office data sheets appear to be ordinary Excel files, but actually contain a large number of important images, such as employee avatars, product display pictures, inspection photos, customer ID photos, registration photos, etc. These images are usually associated with the ID number, name, project code, or product SKU in the same row. If you later need to upload the images to a system, hand them over to designers, place them in archive folders, or perform a unified backup, you need to extract the images from Excel as independent files.
The problem is that manually extracting images is not efficient. Especially when you have many xlsx spreadsheets, each containing dozens or even hundreds of images, saving them individually is not only time-consuming but also prone to file renaming errors. This article uses the employee information sheet in the screenshot as an example to explain how to use the office software " HeSoft Doc Batch Tool " to batch export cell images from multiple Excel files and automatically rename them using content from a specified column cell.
Applicable Scenario: Images are in Excel, and file names should come from data in the same row
The method in this article is suitable for "image + ID number" type spreadsheets. That is, one column in Excel contains text that can be used as a file name, and another column or adjacent area contains images. As long as the content of a specified column in the corresponding row can be read when exporting the image, clear and identifiable image file names can be generated.
Common examples include: in an HR Excel file, column A is the employee ID and column C is the photo; in an e-commerce Excel file, column A is the product code and column D is the product image; in a school registration form, column A is the student ID, and subsequent columns are ID photos; in an equipment ledger, column B is the asset number, and the image area contains actual equipment photos. For these materials, if the exported images are still called image1, image2, image001, it is difficult to match them with business records; if they are directly named with the employee ID or product code, subsequent management becomes much simpler.
HeSoft Doc Batch Tool is a document batch processing software designed for office scenarios. Its core value is not single file editing, but batch processing repetitive file handling workflows, such as batch conversion, batch export, and batch file organization. For the requirements of this article, the focus is on using the image export capability within the Excel tools.
Effect Preview: Images embedded in an Excel sheet before processing
The Excel file before processing is named Employee Information.xlsx, and the sheet displays employee information. Column A is Employee ID, storing the employee number; Column B is Name, storing the employee's name; Column C is Photo, storing the avatar image. The red box indicates the Employee ID in column A and the image in column C, illustrating the correspondence between these two parts of data: the image in each row should use the Employee ID from the same row as its export file name.
From the screenshot, it can be seen that employee IDs include EMP-2023-001, EMP-2023-014, EMP-2023-027, EMP-2023-043, etc. If saving images manually, you need to constantly cross-reference between the image column and the ID column. The more rows the spreadsheet has and the more Excel files there are, the higher the probability of errors. Therefore, automatically reading the content of column A as the file name during batch export is a more reliable approach.
Effect Preview: Images saved to a folder and named by ID after processing
In the processed folder, the avatar images have been exported as independent PNG files. The screenshot shows that the image file names are exactly the employee IDs from column A of the Excel sheet, such as EMP-2023-001.png, EMP-2023-014.png, EMP-2023-027.png, EMP-2023-043.png, EMP-2023-056.png, etc. The file names are consistent with the original spreadsheet content, making them easy to find and verify.
The advantage of this export method is that the results can be used directly: when the HR system requires avatars to be uploaded by employee ID, they can be matched directly; when organizing archives, they can be sorted by number; when needing to send them to other departments, there is no need to attach an explanation like "which image corresponds to whom." For batch office tasks, clear naming is itself a part of efficiency improvement.
Operation Step 1: Open the image export function in the Excel tools
After launching HeSoft Doc Batch Tool , select "Excel Tools" in the left navigation pane. On the right side, multiple Excel-related batch processing functions will be displayed, such as Convert to JPG Images, Convert to Docx, Convert to PDF, Convert to Csv, Convert to Xls, etc. This article aims to extract images from within Excel cells, so you should click the 1st item, "Export Images in Excel Cells."
The description of this function in the screenshot is "Batch export images from Excel cells to the local disk," which perfectly matches the requirement. It is important to distinguish here: choosing "Convert Excel to JPG Images" is more like converting the Excel sheet into an image; whereas "Export Images in Excel Cells" focuses on extracting the original images embedded in the spreadsheet. Choosing the correct tool is the first step to avoid results that do not meet expectations.
Operation Step 2: Batch import the Excel files to be processed
After entering the "Export Images in Excel Cells" page, you are first in the "Select records to process" step. The top right corner of the interface provides "Add File" and "Import Files from Folder" buttons. If the number of Excel files is small, you can use "Add File"; if all spreadsheets to be processed are in the same folder, using "Import Files from Folder" will save more time.
The screenshot shows 8 xlsx files have been imported, the list displays the file names and full paths, including Company_Staff_List_With_Photos.xlsx, Employee Information.xlsx, Employee_Profiles_With_Images.xlsx, HR_Employee_Record_Photos.xlsx, Staff_Information_Database_With_Images.xlsx, etc. This indicates that the function supports selecting multiple Excel records at once for batch processing, rather than operating on each file individually.
After importing, it is recommended to check three points: first, whether the file extension matches the Excel files to be processed; second, whether the path is from the correct folder; third, whether the number of records is as expected. After confirming there are no errors, click the "Next" button at the bottom of the page. After this step is completed, the software knows which Excel files to process; next, you need to tell the software "how to name the images when exporting."
Operation Step 3: Specify the source column for file names to rename images based on cell content
After entering the "Set processing options" page, you can see the "File Name Type" area. The interface has two radio buttons: "System Default" and "Use cell content from one column as the file name." Since we want the images saved by employee ID, we should select "Use cell content from one column as the file name."
After selection, you need to specify the specific column in "Column Name". In the screenshot, the column name dropdown provides options like A, B, C, D, E, F, G, H. Referring back to the pre-processing table, column A is Employee ID, which is the content needed for the export file name, so A should be selected here. After this setting is completed, the exported images will no longer use the system default name but will be named using the employee ID read from the cell in column A.
If your table structure differs from the example, you can also select other columns. For instance, if the product code is in column B in a product sheet, select B; if the student ID is in column D in a registration form, select D. The key principle is: the content of this column should uniquely represent the image and have a stable correspondence relationship with the row where the image is located. For scenarios involving batch processing of multiple files, it is best to ensure that the naming column position is consistent across all Excel files, otherwise selecting the same column in one task may not adapt to all tables.
Operation Step 4: Select the save location and execute the export task
The progress bar in the screenshot shows that the function process includes 4 stages: Select records to process, Set processing options, Set save location, Start processing. After completing the naming column settings, click "Next" to enter the save location step. The save location can be understood as the target folder for exported images; it is recommended to choose an empty folder or create a new dedicated directory for easy counting and checking.
After setting the save location, proceed to "Start Processing." The software will process the Excel files one by one according to the import list, extract the images from the cells, and generate file names based on the content from the previously selected column. After processing is complete, open the target folder to see the PNG images named by the ID. The results folder in the screenshot shows this final effect: the employee ID file name is displayed directly below the image thumbnail, making it very intuitive to look up.
If the task volume is large, it is recommended to test with one or two files first. After confirming that the number of exported images, file names, and spreadsheet IDs correspond correctly, then import all Excel files from the complete folder for batch execution. This ensures reliable results and avoids rework after processing a large number of files at once.
Frequently Asked Questions and Notes
1. Are the exported images definitely PNG? From the effect screenshots, the exported file extension is .png. During actual processing, the results exported by the software shall prevail. For office archiving and system uploads, PNG is a common image format with good clarity and compatibility.
2. Can I select the Name column for naming? You can select it as needed, but choosing an ID-type field is more recommended. Names may be duplicated or contain spaces or special characters; numbers, employee IDs, and product codes are usually more stable. The example selects column A Employee ID precisely because it is more suitable as a unique file name.
3. What should I do if the column structures of multiple Excel files are inconsistent? It is recommended to process them in batches based on structure. For example, if the ID for one batch of files is all in column A, select column A for processing; if another batch of files has the ID in column B, create a separate task and select column B. Do not mix tables with different column structures in the same task, otherwise the image naming may not meet expectations.
4. Will empty cells affect the naming? If the column used for naming contains blank cells, the exported file names may not meet expectations. You should check the naming column before processing to ensure that every row corresponding to an image has usable text. For materials like employee photos and product images, it is recommended to fill the naming column with unique IDs.
5. How to avoid duplicate export file names? The simplest method is to choose a unique field as the file name source. If the same ID might appear in different files, consider refining the ID in Excel first to be more complete, for example by adding department, batch, or date information, before using it as the basis for export naming. This can reduce the risk of overwriting or confusion caused by identically named files.
6. Is it necessary to organize the Excel file before processing? It is recommended to organize it. At the very least, confirm that images correspond to data rows, the content in the naming column is standardized, and the file structure is as consistent as possible. Batch processing tools can reduce repetitive work, but the premise is that the source data is sufficiently clear. The more standardized the source table, the more stable the export results.
Summary: Complete Excel image extraction and file naming in one go
Batch extracting images from multiple Excel files and naming them according to cell content is a typical high-frequency office requirement. Using HeSoft Doc Batch Tool , you can simplify the original process requiring manual saving and renaming one by one into a few steps: importing files, selecting the naming column, setting the save location, and starting processing. For spreadsheet materials like xlsx, xls containing large numbers of employee photos, product images, and ID photos, this batch processing method can significantly save time.
If you are organizing images in Excel spreadsheets, it is recommended to first confirm which column is most suitable as the file name, such as employee ID, product code, or student ID, and then follow the steps in this guide. After processing, the exported images will be saved orderly by business ID, making subsequent uploads, archiving, verification, and sharing more efficient.