This tutorial is aimed at office users who need to batch crop images, introducing how to use HeSoft Doc Batch Tool to uniformly split multiple images into 6-grid, 9-grid, or other custom grids. The software supports average splitting based on the number of horizontal and vertical sub-images. After importing multiple images, it can batch generate corresponding folders of sub-images, reducing the workload of manual cropping, repetitive saving, and file naming. It is suitable for scenarios such as operations, design, e-commerce, and document organization.
When you need to cut a batch of images into a 6-grid, 9-grid, or other fixed grids, the most troublesome part is not how to crop a single image, but the need to "process many images according to the same rules." For example, an operations colleague needs to split dozens of promotional images into a 6-grid of 3 columns and 2 rows, an e-commerce staff member needs to cut product images into multiple smaller ones, and a designer needs to batch-split material images into uniformly sized areas. If relying on manual cropping, each image requires repeatedly opening, pulling out guides, cropping, and exporting, which is time-consuming and makes it difficult to ensure the splitting rules are completely consistent across all images.
This article introduces a more suitable approach for office batch processing: using the image splitting feature in HeSoft Doc Batch Tool to batch-split multiple images into multiple smaller images. This tool is office software, and its core value is not complex retouching, but rather process-oriented, batch-based handling of a large number of repetitive file processing tasks. By setting the number of horizontal small images and vertical small images, you can split images into a 3×2 6-grid, a 3×3 9-grid, or custom grids like 2×2, 4×3, etc., as needed.
Applicable Scenarios: Why Batch Image Grid Splitting is Needed
Image grid splitting is commonly used for content publishing and file organization. For individual users, it might just be occasionally making a nine-grid from one picture; but in team office work, the demand is often for batch processing—many images, uniform rules, and output results that are easy to archive. Therefore, using a batch processing tool is more efficient than traditional single-image editing methods.
Social Media Content Operations: When publishing images on social platforms, it is often necessary to split a large image into 6 or 9 smaller ones to form a continuous picture. Batch splitting can quickly process a whole set of event posters, holiday images, and brand promotional images.
E-commerce Image Production: Product materials, store event images, and detail page images sometimes need to be cut into multiple parts for easy uploading to different locations or management by module. Uniform cutting can reduce manual errors.
Training Materials and Courseware Creation: When creating PPTs, Word documents, and PDF materials, a large image may need to be split into several partial explanatory diagrams. After batch splitting, they can be directly inserted by number, speeding up material organization.
Web Materials and Visual Slicing: In web design or front-end material organization, a composite image is often cut into several pieces for individual use. Grid splitting allows for the rapid generation of structured small images.
File Archiving and Material Library Organization: When a team material library has a large number of images that need uniform cutting, batch processing ensures clear output directories and regular file naming, facilitating future retrieval.
Preview of Effects: From Original Images to Folders of Multiple Small Images
Before Processing: Multiple Original JPG Images Awaiting Processing
In the pre-processing screenshot, you can see that the folder contains five original images: 1.jpg, 2.jpg, 3.jpg, 4.jpg, and 5.jpg. They are all complete images that have not yet been split. For these files, if you want to batch-cut them into a 6-grid or 9-grid, the focus is on generating small images from each picture according to the same rule, rather than manually operating on each one.
If you process 5 images manually, splitting them into a nine-grid would require exporting 45 small images; a six-grid would also require 30 small images. In practice, the number of images is often much larger, and the cost of manual processing would be very high.
After Processing: Each Image Has Its Own Result Directory
After processing is complete, multiple folders appear in the output directory, corresponding to the original images. In the screenshot, you can see folders 1, 2, 3, 4, and 5. Upon opening one of them, it contains sequentially numbered small images. In the example, the selected Folder 3 contains 1.jpg through 9.jpg, indicating that the original image was split into a 3×3 nine-grid.
If you need a 6-grid, just set the combination of horizontal and vertical quantities in the splitting options, such as Horizontal 3, Vertical 2. After processing, 6 small images will be generated in each result folder. Whether it's a 6-grid or a 9-grid, the core process is consistent.
Step-by-Step Guide: Batch Splitting Images into a 6-Grid, 9-Grid, or Custom Grid
Step 1: Find the Image Splitting Feature in the Image Tools
After launching HeSoft Doc Batch Tool , first select "Image Tools" from the left navigation bar. The software interface includes not only image processing functions, but also categories like Word Tools, Excel Tools, PowerPoint Tools, PDF Tools, and Text Tools, indicating that it is oriented towards batch file processing for daily office work, not single-image editing.
After entering the Image Tools, find the function card "3. Split Image into Multiple Small Images." The function description is "Batch-split a large image into many small images." This name directly matches the requirement: splitting a large image into multiple smaller ones, and supporting batch processing for multiple images.
The purpose of this step is to enter the correct batch image splitting module. The expected result is to open a task page with a step-by-step workflow, where you can later add images, set splitting rules, and execute the processing.
Step 2: Import All Images to be Split
After entering the function page, the first step is "Select records to process." In the upper right corner of the page, you can see action entries like "Add Files," "Import Files from Folder," "Clear," and "More." In actual use, if the number of images is small, you can add files directly; if the images are already in a single folder, using "Import Files from Folder" is more suitable for batch import.
In the example, 5 images have been imported. The table lists information such as Sequence Number, Name, Path, Extension, Creation Time, and Modification Time. This information allows you to check if the import is correct, such as whether the files are all jpg and if the paths are from the target folder. The record count at the bottom of the table shows 5, indicating that the current task will process 5 image files.
If you find that unnecessary images were imported, you can use the delete action on the right side of the list to remove the corresponding records; if the entire import is wrong, you can use the clear function on the page to reselect. After confirming the list is correct, click "Next" at the bottom of the page.
Step 3: Choose Average Split and Set Horizontal and Vertical Counts
The second step is "Set processing options." In the screenshot, you can see that the "Split Method" provides two options: "Average Split" and "Fixed Width and Height Split." For requirements like 6-grid or 9-grid cutting based on the number of rows and columns, "Average Split" is usually chosen. Average splitting will evenly divide each original image according to the number of horizontal and vertical small images you input.
In the screenshot example, the Horizontal Small Image Count is set to 3, and the Vertical Small Image Count is set to 3, so each image will be split into 9 small images, which is the common nine-grid. If you want to split into a 6-grid, you can choose the following settings based on the image ratio:
Horizontal 3, Vertical 2: Generates 3 columns and 2 rows, totaling 6 small images, suitable for landscape images or horizontal posters.
Horizontal 2, Vertical 3: Generates 2 columns and 3 rows, totaling 6 small images, suitable for portrait images or materials requiring vertical display.
Horizontal 3, Vertical 3: Generates 9 small images, suitable for nine-grid publishing.
Horizontal 2, Vertical 2: Generates 4 small images, suitable for a four-grid split.
The key to this step is to first clarify the final desired number of columns and rows, then fill in the corresponding numbers. After filling them in, click "Next" to proceed to the save location settings.
Step 4: Set Save Location to Avoid Mixing Originals and Results
According to the page workflow, the third step is "Set save location." Although the screenshot does not show the specific save location page, the workflow bar clearly indicates that a save destination directory must be specified before starting processing. It is recommended to choose a new, empty folder as the output location, such as "Image Split Results" or a folder named after the project.
The advantage of this is clear results: the original images are kept in their original directory, while the split small images are centrally output to the new directory. As seen in the post-processing screenshot, the software generates a corresponding folder for each original image and then places the small images split from that image into the corresponding folder. For scenarios involving batch processing dozens of images, this grouping method effectively avoids result confusion.
Step 5: Start Processing and Check the Output Results
After the save location is set, enter the fourth step, "Start Processing." The software will execute the splitting task for each image in the order of the imported list. Users do not need to repeatedly open each file or manually save every small image.
After processing is complete, open the output directory to check. Taking the 9-grid as an example, each original image should generate 9 small images; for a 6-grid, each original should generate 6 small images. You can randomly open a result folder to check if the number of small images, visual order, and clarity meet expectations.
Parameter Selection Suggestions: How to Choose a 6-Grid or 9-Grid More Appropriately
Different platforms and image ratios suit different splitting methods. Before setting the horizontal and vertical counts, consider the final use of the images.
Landscape images are better suited for horizontal column splitting. If the original is a wide landscape, horizontal poster, or horizontal event image, you can usually choose a horizontal count greater than the vertical count, like a 3×2 6-grid. The resulting small images better fit the visual structure of a landscape picture.
Portrait images are better suited for vertical row splitting. If the original is a long vertical image, a character poster, or a vertical promotional image, consider a 2×3 6-grid to make the vertical layers more apparent.
Use 3×3 when a continuous display on social platforms is needed. The nine-grid is the most common display format, suitable for splitting a main visual image into 9 pieces for publishing to create an overall mosaic effect.
Test with one image first when the batch is large. Before batch processing, it is recommended to test the splitting effect with one representative image. After confirming there are no problems, import all images for batch processing to avoid finding inappropriate row/column counts after batch generation.
Common Questions and Notes
1. Should I fill in 3 and 2, or 2 and 3 for a 6-grid?
Both are possible; the difference lies in the arrangement direction. The Horizontal Small Image Count is the number of columns, and the Vertical Small Image Count is the number of rows. Horizontal 3, Vertical 2 results in 3 columns and 2 rows; Horizontal 2, Vertical 3 results in 2 columns and 3 rows. The choice depends on the image aspect ratio and the final display method.
2. How many small images will batch splitting generate?
The total number equals the number of images multiplied by the number of splits per image. For example, 5 images set to 3×3, generating 9 per image, results in 45 small images total; if set to 3×2, generating 6 per image, results in 30 small images total.
3. How to keep the output results organized and not chaotic?
It is recommended to use a separate output folder and ensure the file names are clear before processing. After processing, the software generates result directories corresponding to the original images, making it easy to quickly know which original image a group of small images came from.
4. What is the difference between Average Split and Fixed Width & Height Split?
The two splitting methods are visible in the screenshot. For creating effects with a fixed number of rows and columns like a 6-grid or 9-grid, Average Split is typically used. If your need is to cut according to a specific fixed width and height, you can choose Fixed Width & Height Split based on the actual situation. The focus of this article is average splitting by row and column count.
5. What information should I check after importing files?
It is recommended to check the file name, path, extension, and record count. The list in the example shows 5 jpg records, indicating that the correct images were imported. If the path or count is wrong, you should adjust the import list before moving to the next step.
Summary: Leave the Image Splitting Work to a Batch Processing Tool
The difficulty of batch image cutting lies not in a single crop, but in a large number of repetitive operations. HeSoft Doc Batch Tool 's "Split Image into Multiple Small Images" function strings together file importing, setting split counts, specifying save locations, and starting processing into a clear workflow, suitable for office users who need to process image files long-term.
If you need to batch-create 6-grid images, you can set Horizontal to 3, Vertical to 2, or Horizontal to 2, Vertical to 3; for a nine-grid, set Horizontal to 3, Vertical to 3. After importing multiple images, the software automatically generates small images according to the rules and groups and saves them by original image. For personnel in operations, design, e-commerce, and material organization, this batch processing method can significantly reduce repetitive labor, making image splitting more stable and efficient.