Product data sheets, equipment ledgers, and archive lists often only save image paths. When viewing, you need to repeatedly open folders to check the images. This article uses an Excel example with CODE and URL columns to demonstrate how to use HeSoft Doc Batch Tool to batch convert local image paths in multiple xlsx files into cell image previews, helping users quickly create tables with images and reducing the repetitive work of manual image insertion, resizing, and individual saving.
Many businesses, when organizing product data, asset information, or personnel files, store images separately in folders and then record the image paths in an Excel spreadsheet. This approach facilitates unified image management but also introduces a problem: the spreadsheet only displays paths like D:\test\images\1.jpg, without showing the image content. When reviewers, operators, or clients need to view the images, they must copy the path, open the folder, and check them one by one, which significantly impacts efficiency.
If these paths need to be converted into image previews within Excel, manual operation can be extremely tedious. Especially when a folder contains multiple workbooks like 1.xlsx, 2.xlsx, and 3.xlsx, each with multiple rows of image paths, manually inserting images is not only slow but also prone to mismatches between images and codes. This article will use screenshots to explain how to use the office software " HeSoft Doc Batch Tool " to batch convert local image paths in Excel cells into images.
Applicable Scenario: Quickly Turn a Path Table into an Illustrated Excel List
This method is suitable for spreadsheets that already maintain image paths in Excel. For example, in an e-commerce product table, column A contains the product code, and column B contains the main image path; in an equipment inspection sheet, one column is the equipment number, and another is the equipment photo path; in a personnel file, one column is the employee ID, and another is the ID photo path; in a data archiving sheet, one column is the data ID, and another is the image file address.
As long as the image address or disk path is saved in the cells and the current computer can access these image files, the paths can be converted into images through batch processing. For users who need to deliver xlsx spreadsheets to colleagues, clients, or supervisors, an illustrated table is more intuitive than a pure path table and is also more suitable for printing, summarization, and verification.
Before Processing: Multiple Excel Files Awaiting Unified Conversion
From the screenshot of the files before processing, it can be seen that there are 3 Excel workbooks in the current directory: 1.xlsx, 2.xlsx, 3.xlsx. This situation is very common in batch sheet generation, such as when different stores, departments, or batches each generate an Excel file, but the table structure is the same, and all require converting image paths into images.
After opening one of the workbooks, you can see that Sheet1 contains two main columns of data: the header of column A is CODE, used to store codes; the header of column B is URL, used to store image paths. The paths in the screenshot are D:\test\images\1.jpg, D:\test\images\2.jpg, D:\test\images\3.jpg, and D:\test\images\4.jpg. Currently, column B still contains text paths, and the images cannot be previewed directly.
After Processing: The URL Column Displays Real Images
After processing is complete, the image paths in the spreadsheet have been converted into images. In the screenshot, column A (CODE) still retains the original codes, while column B displays the corresponding images. The images are arranged within the cell areas, forming a layout where each code row corresponds to an image.
This result is very suitable for creating product catalogs, data comparison tables, or image review sheets. Users no longer need to search for images in folders based on paths; they can see the image content directly upon opening Excel. The efficiency improvement is particularly significant for tasks that involve batch verification of whether codes match images.
Step 1: Locate the Excel Image Address Conversion Feature in the Software
After launching " HeSoft Doc Batch Tool ", navigate to "Excel Tools" from the left-hand menu. The interface will list a number of Excel-related batch processing capabilities. The one we will use this time is "Convert Image Addresses to Images in Excel", whose description is to batch convert image URLs or disk paths in Excel cells into images and fill them into the cells.
The purpose of selecting this function is to let the software read image files based on the path information in Excel cells and put the read images back into the spreadsheet. Compared to manually inserting images in standard Excel, this step effectively establishes an automated task portal, allowing multiple workbooks to be processed in one go subsequently.
Step 2: Import the xlsx Files to be Processed
After entering the feature page, the top provides "Add Files" and "Import Files from Folder". If the number of files is small, you can add them directly; if there are multiple spreadsheets to process in the same folder, you can import them from the folder to reduce repetitive selection. The screenshot shows that three files—1.xlsx, 2.xlsx, and 3.xlsx—have been successfully imported.
After importing, the software will display information such as file name, path, extension, creation time, and modification time in the list. Users should check at this step whether all files are present and the paths are correct. If a file was added by mistake, you can use the delete operation in the list to remove it; if you need to reselect, you can also use "Clear" before adding again.
After confirming the file list is correct, click "Next" at the bottom. The expected outcome of this step is that all Excel files requiring batch image preview generation are included in the same processing task.
Step 3: Set Conversion Rules to Display Images in Cells
On the "Set Processing Options" page, you need to decide which cells the software scans, where the images are placed, how they are displayed, and how image dimensions are controlled. The parameters selected in the screenshot are quite suitable for the example spreadsheet: the processing range is set to "All Cells", the image save location is set to "Overwrite Cells", and the image fill method is set to "Float over Cells".
"All Cells" is suitable for worksheets where image paths might appear in different locations; the software will search the spreadsheet for convertible image addresses or paths. If your table structure is very fixed, for example, image paths are always in column B, you can also narrow the processing scope using the "Fixed Column" option in the interface for more targeted processing.
"Overwrite Cells" means putting the image back into the cell where the original path was located, meaning the URL column in the example will change from path text to images. If your business needs require preserving the URL text, you can combine this with the "Overwrite Left Cell" or "Overwrite Right Cell" options in the interface to place the image in a neighboring column. Which method to choose depends on whether the final spreadsheet needs to keep the path or only requires an image preview.
"Float over Cells" is the image fill method selected in the screenshot, suitable for displaying images as visual objects within the cell area. The interface also shows an "Embed into Cells" option, which users can select based on subsequent editing needs. To ensure a tidy table after conversion, the screenshot enables fixed image cell width and height, setting both width and height to 200. This way, regardless of the original image's size, the image areas in the spreadsheet will be more uniform.
Step 4: Set Error Handling to Facilitate Troubleshooting Invalid Paths
During batch conversion, the most common problems are incorrect paths, moved images, mismatched file names, or non-existent image files. Therefore, the error handling method is very important in the processing options. The screenshot shows "Fill failure reason into the cell" is selected.
The advantage of this setting is that if an image in a cell cannot be converted, the user can see the failure reason directly in the spreadsheet and then simply correct the path or add the missing image file accordingly. Compared to having no idea which row failed after processing ends, this method is more suitable for batch file scenarios.
If the spreadsheet is intended for formal delivery, it is recommended to do a trial run with a small amount of data first to confirm that the failure reason prompts, image placement, and image size all meet requirements before batch processing all files.
Step 5: Continue, Save, and Start Batch Processing
The progress bar at the top of the page shows that after setting processing options, you need to "Set Save Location" and finally "Start Processing". After completing the parameter configuration shown in the screenshot, click "Next", follow the interface prompts to choose a save location, and then start the processing task. As different users have different requirements for output file management, it is recommended to save the processing results to a separate directory for easy distinction from the original Excel files.
After starting the processing, the software will sequentially read the Excel workbooks in the file list, identify the image addresses or disk paths in the cells, and fill the corresponding images into the spreadsheet. After processing is complete, open the output file to view the image preview effect.
Frequently Asked Questions and Notes
The files in the image paths must actually exist. For example, if a cell contains D:\test\images\4.jpg, then that image must be in the corresponding directory on the current computer. If the folder path differs or the image file name has changed, conversion may fail.
It is recommended to check the path format before batch processing. Paths should not contain extra spaces, incorrect suffixes, or invalid characters. Common image formats like jpg, png, etc., should match the actual files.
Decide whether to overwrite the URL column based on your needs. If the URL path still holds value for subsequent use, it is not recommended to overwrite it directly; you can place the image in a cell to the left or right. If the goal is solely to generate a final preview sheet, overwriting the original cell will be more concise.
Do not set the image size too large. Excessively large width and height will increase the Excel file size and affect opening speed. The 200×200 pixel setting in the screenshot is a relatively balanced preview size, which can be adjusted according to actual printing or display needs.
Keep the table structure consistent when processing multiple files. If the column structures of 1.xlsx, 2.xlsx, and 3.xlsx are consistent, the batch processing result will be more stable. If file structures vary significantly, they should be processed in groups first.
Summary: Convert Paths into Images to Make Excel Data More Intuitive
Saving image paths in Excel is a common data management practice, but it is not intuitive enough for viewing and delivery. Using the "Convert Image Addresses to Images in Excel" feature of " HeSoft Doc Batch Tool ", local image paths in multiple xlsx files can be batch converted into real images and displayed according to cell positions.
The core value of this type of office software lies in batch processing files, reducing repetitive tasks, and improving efficiency. For tasks like product operations, data archiving, asset management, and file organization, using a batch conversion tool eliminates the need to manually insert images, adjust sizes individually, and repeatedly save files. It is recommended to prepare the image folder and Excel path data before formal processing, test with one spreadsheet first to confirm the results, and then batch process all files.