A larger number of image assets increases the need for a searchable and filterable Excel information sheet. This article demonstrates how to use the file information statistics feature in office software to batch inventory JPG images in a folder, outputting an Excel report containing name, path, extension, size, creation and modification time, image width and height, color space, and camera-related metadata, helping teams improve asset management efficiency.
Organizing and inventorying images is a typical office task that seems like just "listing the images" but often involves many details: whether file names are standardized, which folder the files are in, whether image dimensions meet standards, whether file sizes are unusual, whether creation and modification dates align with the project schedule, and whether metadata like camera, lens, and ISO is preserved within the images. As the number of images grows, manually opening properties and recording item by item becomes very inefficient.
This article uses a batch of JPG images as an example to illustrate how to use HeSoft Doc Batch Tool for image asset inventory. This software is a batch file processing tool within office software, suitable for automating repetitive file organization tasks. Through its "File Information Statistics" function, you can compile the paths, dimensions, and metadata of a large number of images into an Excel report at once, facilitating subsequent filtering, inspection, and archiving.
Applicable Scenarios: Why Image Assets Need Information Inventory
In enterprises, schools, design teams, photography teams, and content operations teams, image files rarely exist in isolation. They might belong to a course project, an event, a set of promotional materials, or a batch of client deliverables. Relying solely on a folder list is insufficient for managing these images, as folder lists typically only show file names and limited time information, failing to systematically present complete paths, image dimensions, color spaces, and metadata.
For example, a course materials administrator might need to confirm all supporting images are in the designated directory; a design lead might need to check if image dimensions comply with platform specifications; a project delivery person might need to submit a file list to a client; a photo archive organizer might need to categorize images based on camera model or shooting parameters. All these tasks require a structured table, not a scattered file list.
The advantage of using a batch statistics tool is its ability to transform the action of "checking each file's properties" into "generating a unified Excel report." This not only saves time but also reduces errors caused by manually copying paths and entering data.
Result Preview: From Folder List to Excel Report
Before processing, images are stored together in a folder. The screenshot shows multiple JPG files, including LearningGoalsImage.jpg, LessonPlanningImage.jpg, ProjectLearningImage.jpg, ReadingChecklistImage.jpg, and VocabularyPracticeImage.jpg. At this point, users can only visually see file names and dates, unable to compile path, dimension, and metadata statistics in a single interface.
After processing, all images are summarized into an Excel spreadsheet. Each row represents an image file, with very clear column fields including Name, Path, Extension, Size, Folder Path, Creation Time, Modification Time, Image Width, Image Height, Color Space, and several image metadata fields. For JPG images containing shooting information, you can also see fields like Camera Manufacturer, Camera Model, Lens Model, and ISO Sensitivity.
This result is highly suitable for further processing. For example, you can filter for non-compliant images by width and height in Excel, check directory ownership by path, find recently updated files by modification time, or discover abnormal files by sorting by size. Compared to manual recording, the tabulated results are easier to share and review.
Steps: Batch Summarizing Image Paths, Dimensions, and Metadata
Step 1: Select File Information Statistics under File Organization
Open HeSoft Doc Batch Tool , and you will see clear functional categories on the left. Since the task is an image asset inventory, select the "File Organization" category. In the function area on the right, find and click "File Information Statistics." In the screenshot, this function card is highlighted, indicating it is used for batch statistics of various file information like names, paths, sizes, times, and metadata.
This step determines the direction of subsequent processing. Because our goal is to output a file information report, not to modify image content, we should use "File Information Statistics." It can simultaneously process basic file attributes and additional information, making it ideal for creating image lists.
Step 2: Add the Images to Be Inventoried to the List
After entering "File Information Statistics," the first stage is "Select records to process." At the top of the page, there are "Add File" and "Import Files from Folder" buttons. For an image asset inventory, images are usually stored in a project folder, so "Import Files from Folder" is more efficient; if only a few specific images need to be inventoried, you can also use "Add File."
After importing, the software displays the pending files in a list. The screenshot shows 20 records, with display fields including Serial Number, Name, Path, Extension, Creation Time, and Modification Time. An example path is D:\test\folders\ClassNotesImage.jpg, with the extension jpg. The bottom of the list shows a count of 20 records, making it easy to confirm the scope of this inventory.
At this step, it is recommended to verify the file scope first. Check for files that don't belong to this batch, and use the file names to confirm if any are missing. If you need to re-select, use the "Clear" button on the interface and import again. For a large number of files, "Filter" and "Sort" can also help quickly locate target files.
Step 3: Select Image File Details in Additional Information
After confirming the pending images, click "Next" at the bottom to enter "Set Processing Options." The screenshot shows an "Additional Information" area on the page, offering detail options for various file types, including Word, Excel, PPT, PDF, Text, and Image. Since this inventory is for JPG images, you need to check "Image File Details."
This option is crucial. If you only count basic file attributes, the exported table typically only meets the needs of a file list. Checking "Image File Details" will further read image width, image height, color space, and fields related to image metadata. For users who need to check resolution, organize EXIF information, or assess asset quality, this step cannot be omitted.
Step 4: Follow the Wizard to Set Save Location and Start Processing
After selecting processing options, continue by clicking "Next." The interface flow shows that you will then proceed to "Set Save Location" and "Start Processing." Set the save location for the result table as prompted by the software, and then execute the statistics. After processing is complete, open the output file with Excel to see the complete image asset inventory report.
It is recommended to save the results to the project materials directory and use a clear file name. For instance, you could name it by project, date, or image source. This way, if multiple inventories are needed later, you can distinguish between different batches of reports and avoid confusion.
How to Use the Processed Excel Report
The exported Excel spreadsheet is not just a list; it can also serve as foundational data for image asset management. First, the path field helps quickly locate the original files, particularly when images are distributed across multi-level folders, as the full path prevents repeated searching.
Second, the width and height fields can be used for dimension audits. For example, some platforms require images to have a minimum width in pixels or require a uniform aspect ratio for cover images. After exporting dimensions, you can directly filter in Excel for images that do not meet the requirements.
Third, the file size field can be used to discover anomalous assets. Overly large images may need compression, while overly small images may lack clarity. Combining this with resolution information provides a more reliable assessment than looking at file size alone.
Finally, metadata fields are suitable for source analysis. Fields like Camera Manufacturer, Camera Model, Lens Model, and ISO Sensitivity are valuable for photography projects, image databases, or evidence photo management. Of course, the specific metadata that can be exported depends on whether the images themselves have preserved this information.
Frequently Asked Questions and Notes
Are image dimensions and metadata the same type of information?
No. Image width and height are dimension information, typically used to assess resolution; while Camera Manufacturer, Camera Model, Lens Model, ISO, etc., lean more towards metadata or EXIF information. Once exported to Excel, they are presented as different fields, facilitating separate filtering and analysis.
Why can't I see these fields in File Explorer?
File Explorer usually only displays limited file information, such as name, date, type, and size. While you can view some detailed information through Properties, it's not suitable for batch summarization. The value of the File Information Statistics function lies in organizing multiple types of fields from numerous files into a unified table.
If an image has been compressed, will the metadata still exist?
Not necessarily. Many compression tools, social platforms, or image editing processes remove some metadata to reduce file size or protect privacy. Therefore, it's normal for some metadata fields to be empty in the processed Excel file. If business needs require complete metadata, try to use the original images for statistics.
Do images need to be renamed before statistics?
It's not mandatory. The software performs statistics based on the current file names and paths. If you plan to manage image assets long-term, it's recommended to establish a uniform naming convention before or after the inventory. The exported Excel list can help identify issues like inconsistent naming, directory chaos, or duplicate files.
Is this method suitable for team collaboration?
Yes. Excel reports are easy to share, and team members can view path, dimension, and time information in the same list. For project delivery, asset review, and archive management, a table is more standard than verbal explanations or screenshots.
Summary: Making Image Inventory Faster, More Accurate, and Easier to Review
Batch summarizing image paths, dimensions, and camera metadata is a very practical step in image asset management. Using the "File Information Statistics" function of HeSoft Doc Batch Tool , you can quickly convert JPG images from folders into a structured Excel report, avoiding the need to view properties individually or manually enter data.
The entire workflow is not complex: enter File Information Statistics under File Organization, import the image files, check Image File Details, set the save location, and start processing. Upon completion, users can filter, sort, and archive image names, paths, sizes, times, resolutions, and metadata in Excel. For any office user who frequently handles large volumes of image files, this is a highly efficient method worth adopting.