Facing a large number of image files, manually checking paths, dimensions, creation dates, modification dates, and shooting parameters one by one is highly inefficient. This article uses HeSoft Doc Batch Tool as an example to illustrate how to utilize the file information statistics feature in office software to batch import images, select detailed image file information, and export data such as image paths, width and height resolution, color space, camera model, lens, and ISO into an Excel checklist.
In daily office work, image files often come in batches rather than just one or two: course illustrations, promotional materials, photography, product images, website assets, project attachments, and more. If you only need to browse the image content, a folder list is sufficient. However, if you need to compile the path, dimensions, resolution, file size, creation time, modification time, and shooting metadata of each image into a table, manual processing becomes incredibly tedious.
For example, operations personnel might need to filter out cover images that don't meet size requirements; designers might need to tally the resolution of every image in a media library; photographers might need to organize EXIF information such as camera model, lens model, ISO, and exposure time; and project managers might need to provide a client with a list of image files. This article introduces a method more suited for batch office processing: using the "File Information Statistics" function in " HeSoft Doc Batch Tool " to aggregate information from numerous image files into an Excel spreadsheet at once.
Applicable Scenario: From Image Folders to Excel Statistical Lists
The core value of extracting image information in batches lies in organizing data originally scattered across folders and file properties into a structured table. This allows users not only to view the information but also to perform filtering, sorting, and statistical analysis in Excel.
Image Asset Management
Image assets accumulated by an enterprise over time are often distributed across multiple folders, and the file names may not always be uniform. Through batch statistics, you can quickly create an image asset inventory, recording file path, name, extension, size, containing folder, creation time, and modification time. When searching for, migrating, or cleaning up obsolete files later, an Excel checklist is far more efficient than visually scanning folders.
Image Dimension Review
Many business operations have explicit requirements for image width and height. For example, cover images might need a fixed aspect ratio, product images might need to reach a certain pixel count, and promotional images cannot fall below a specified resolution. After exporting image dimensions to Excel, you can use filtering conditions to quickly locate files that are too small, have abnormal ratios, or fail to meet specifications.
Photograph Metadata Archiving
Photo files may contain information such as shooting time, camera manufacturer, camera model, lens model, focal length, ISO, flash status, and white balance. For organizing photographic works, reviewing shoots, or compiling equipment usage statistics, exporting EXIF metadata in batches is more professional than checking it image by image.
Project Delivery and Documentation
In projects such as website construction, educational resource creation, and video data organization, the deliverable often includes not just the images themselves but also a file list. An Excel spreadsheet clearly displays the name, path, size, and time information for each file, facilitating review by both parties and simplifying subsequent archiving.
Effect Preview: List of Image Files Before Processing
Before processing, the folder contains a batch of JPG images. The screenshot lists multiple image files, such as ClassNotesImage.jpg, CourseSummaryImage.jpg, ExamPreparationImage.jpg, GrammarReviewImage.jpg, and KnowledgeReviewImage.jpg. Users can see the file names and time information on the right, but cannot directly view the full path, dimensions, pixel resolution, and shooting parameters for each image.
At this point, if manual organization is used, one typically needs to repeat the following actions: open image properties, copy the file name, copy the path, view details, note the dimensions, and then paste into Excel. When dealing with a large number of images, this process is prone to omissions, misplaced rows, and incomplete copies. The risk of error increases especially when image names are similar, as manual verification alone becomes harder.
Effect Preview: After Processing, Excel Contains Complete Statistical Fields
The Excel spreadsheet generated after processing displays image information in rows. Each row corresponds to an image file, and each column corresponds to an information field. As shown in the screenshot, the resulting table includes not only the path, name, extension, size, creation time, modification time, containing folder path, and containing folder name, but also a wealth of detailed image file information.
From the post-processing effect, it is evident that the Excel spreadsheet includes fields such as image width, image height, image resolution, and color space, and also columns related to photo metadata, such as shooting time, camera manufacturer, camera model, lens model, exposure time, ISO speed, focal length, flash, and white balance. In this way, users can complete statistics and filtering directly within the spreadsheet without opening each image individually.
Operational Steps: Extracting Image Paths, Dimensions, and Metadata in Batches
The following steps are explained based on the software interface shown in the screenshots. The software name displayed is " HeSoft Doc Batch Tool ", a batch processing tool suited for office scenarios, designed for performing batch organization and information statistics on files such as documents, spreadsheets, images, and PDFs. This article uses its "File Information Statistics" capability.
Step 1: Locate "File Information Statistics" from the Main Interface
After opening the software, first select "File Organization" on the left. The main interface will display several function cards related to file organization. According to the screenshot, the third function is "File Information Statistics," with a description indicating it batch-statistics information like name, path, size, time, and metadata for various files. Click this function to enter the processing page.
The expected result of this step is to enter a guided processing interface. Selecting the correct function is crucial, as the goal here is not to rename or move images, but to extract and aggregate file information. Therefore, one should choose "File Information Statistics," not file classification or folder statistics functions.
Step 2: Import the Image Files for Statistics
After entering "File Information Statistics," the first step is to "Select records to process." The upper right corner of the page provides two common entry points: "Add Files" and "Import Files from Folder." If there are only a few image files, you can select them via "Add Files"; if images are concentrated in a specific directory, using "Import Files from Folder" is more efficient.
Once the import is complete, the software displays the files in a list. The list in the screenshot includes columns for sequence number, name, path, extension, creation time, modification time, and actions, and shows a total count of 20 records. Users can verify the import accuracy from this list. For instance, the name column shows JPG image file names, the path column displays the full file path under D:\test\folders\, and the extension column shows jpg.
The purpose of this step is to let the software know which image files need statistics. The expected outcome is that all target images appear in the list. If unwanted files are mixed in, they can be removed using the inline delete button; if the import scope is incorrect, click "Clear" and re-add files.
Step 3: Verify Basic Information and Click "Next"
After generating the import list, it is advisable to conduct a basic review. Focus on three types of information: first, whether the record count is as expected; second, whether the paths point to the correct folder; third, whether the extension matches the image format intended for statistics. Once verified, click "Next" at the bottom.
This step seems simple, but it prevents the subsequently generated Excel list from containing incorrect files. If a directory contains both images and other file types, checking extensions in advance will make the results cleaner. For scenarios requiring a formal delivery checklist, it is recommended to confirm the file scope at this stage.
Step 4: Check "Image File Details"
After entering the second step, "Set Processing Options," you will see the "Additional Information" section. This area lists several checkboxes, including Word file details, Excel file details, PPT file details, PDF file details, text file details, and image file details. Since this article deals with images, you need to check "Image File Details."
Once this option is selected, the software will, beyond the basic file information, further extract image dimensions and metadata. The effect diagram of the processed Excel shows that with image details enabled, the results can include image width, height, resolution, color space, and a series of shooting-related fields. For users who only need the path and file name, basic information is sufficient; but for image dimension checks or EXIF information archiving, selecting image file details is essential.
Step 5: Set the Save Location
After clicking "Next," the process moves to "Set Save Location." This step specifies where the statistical results should be saved. It is recommended to place the exported Excel file in a directory related to the image project, such as folders named "Image Statistics Results," "Asset List," or "Project Delivery Files," for easier subsequent retrieval and sharing.
The choice of save location affects future management efficiency. For team collaboration scenarios, a shared directory can be chosen; for personal organization, you can save it in the current project folder. To avoid overwriting previous results, it is advisable to include a date or project name in the exported file name, making it easier to distinguish between different batches of statistical results.
Step 6: Start Processing and Open the Excel Results
After setting the save location, proceed to "Start Processing." The software will read image information from each file sequentially based on the imported list and generate the table results. Once processing is complete, open the Excel file to view all the statistical fields.
Within Excel, various secondary processes can be performed. For example, sort by "Image-Width" from small to large to quickly locate low-pixel images; filter by "Modification Time" for recently updated files; count photos taken with different devices by "Camera Model"; or group by "Containing Folder Name" to check the rationality of asset classification. This way, image information becomes more than just static files in a folder; it transforms into an analyzable, filterable, and summarizable data table.
Frequently Asked Questions and Notes
1. Why keep both the image path and file name?
The file name only tells you what the image is called, whereas the path tells you where it is located. When multiple folders contain images with the same name, the full path avoids confusion. The path column is critical for batch organization and project delivery, as subsequent original file location, source verification, or file migration all depend on it.
2. Is it normal for some EXIF fields to be empty in Excel?
Yes. Not all JPG images contain complete EXIF data. Screenshots, images downloaded from the web, or files that have been compressed or re-exported from editors may have lost their shooting parameters. Therefore, an empty metadata column does not necessarily indicate a statistical failure, but rather that the original file lacks the corresponding information.
3. How to quickly identify images with non-compliant dimensions?
After exporting to Excel, use the filter or sort functions to view image width and height. For example, if a width of at least 1920 pixels is required, filter for records where "Image-Width" is less than 1920; to check portrait or landscape aspect ratios, combine width and height data for judgment. This is faster than opening each image individually to check dimensions.
4. How should I import files when there are many?
If the files are all in the same directory, prioritize using "Import Files from Folder." If you only need to process some of the images, first organize the scope within the folder before importing. After import, you can also review the record count and path in the list to ensure accurate data scope.
5. Which image formats are suitable for this type of statistics?
The examples in this article's screenshots are JPG images, and the extension shown in the field is jpg. For other image formats, the actual software import and output results should prevail. Generally speaking, basic file information like path, name, size, and time is more easily collected uniformly; whether detailed metadata is complete depends on the image format and whether the file itself has saved the relevant information.
6. Does the generated Excel still need manual organization?
The generated table has already completed the main information extraction, but for actual delivery, appropriate tailoring based on the purpose is common. For instance, delete unnecessary metadata columns, keep file name, path, dimensions, size, and modification time; or add columns such as "Compliant," "Remarks," or "Processing Status" for subsequent workflow management.
Summary: Replace Checking Image Properties One by One with Batch Statistics
The difficulty in organizing large volumes of image file information lies not in viewing the properties of a single image, but in the high quantity, multiple fields, and numerous repetitive operations. Using the "File Information Statistics" feature of " HeSoft Doc Batch Tool ", you can export image paths, dimensions, resolution, time, and EXIF metadata in batches to Excel through the steps of importing files, checking image file details, setting a save location, and starting processing.
For users who need to organize JPG images, create image asset lists, check resolutions, archive photo shooting parameters, or submit project file lists, this method better embodies the efficiency value of office software: let the software handle repetitive reading and aggregation tasks, allowing users to focus their energy on judgment, review, and subsequent management. The next time a large number of images need to be compiled into a table, consider prioritizing a batch statistics workflow to reduce the time consumption caused by manual copying and one-by-one property checking.