Want to uniformly crop multiple large images into fixed-size 200×200 thumbnails? Cropping them one by one with image editing software is not only time-consuming but also prone to inconsistent output sizes and file naming. This article introduces a batch processing method more suited for office scenarios: Use HeSoft Doc Batch Tool to enter the image tool, select "Split image into multiple thumbnails," batch import JPG images, then choose "Split by fixed width and height," fill in the width and height for each thumbnail, set the save location, and start processing. The article combines pre-processing, post-processing, and software interface screenshots to help users quickly master the complete workflow.
Many people encounter a seemingly simple yet very time-consuming problem when processing image materials: cutting multiple large images into small images of uniform specifications. For example, operations colleagues need to cut event images into partial materials, front-end colleagues need to split image resources into fixed blocks, teaching material organizers need to break large images into small ones for easy insertion into documents, or data processing personnel need to generate 200×200 image tiles. If cut manually one by one, the entire process becomes very mechanical, and as the number of images increases, the error rate also increases.
This article will explain "how to batch cut multiple images into 200×200 small images." The example uses HeSoft Doc Batch Tool , an office software focused on batch file processing, reducing repetitive work, and improving processing efficiency. We will follow the process shown in the screenshots, from selecting the image splitting function, importing multiple JPG images, setting fixed width and height splitting parameters, to outputting the split small images, explaining the purpose of each operation and expected results step by step.
Applicable Scenarios: Why Batch Cut Images into Fixed-Size Small Images
The characteristic of fixed width and height image splitting is clear rules: each small image is generated according to the specified width and height. Compared to arbitrary cropping, it is more suitable for standardized production and batch delivery. The following scenarios are particularly common.
First is material standardization. For example, a company's material library contains many landscape images, scene images, and product images that need to be split into uniformly sized small images for easy use in web pages, PPTs, documents, or backend systems. Unified specifications reduce the need for secondary adjustments.
Second is local analysis of large images. Some images have very rich content, such as maps, buildings, landscapes, surveillance footage, or long screenshots. Viewing the entire image directly is not conducive to locating details. After splitting into fixed-size small images, they can be viewed and filtered block by block.
Third is image data preparation. Some training, annotation, or recognition tasks require fixed image sizes, such as 200×200 or 256×256. Batch image splitting can quickly convert original images into regular tiles, reducing the time for manual data preparation.
Fourth is team collaboration and delivery. If design, operations, and development teams need to transfer small image materials, splitting them by fixed sizes and saving them in folders makes the delivery results clearer and avoids problems like "where was this image cut to?" or "which small image belongs to which original image?".
Effect Preview: From 5 JPG Original Images to Multiple Small Image Files
In the pre-processing screenshot, we can see that 5 JPG images are currently prepared for processing, with filenames 1.jpg, 2.jpg, 3.jpg, 4.jpg, and 5.jpg. They are all complete images with varying sizes and content. If processed manually, you would need to open each image separately, repeatedly crop it to the fixed size, and save it.
After processing is complete, folders named 1, 2, 3, 4, 5 appear in the results directory. After selecting a folder, you can see many small images generated inside, with filenames numbered sequentially like 01.jpg, 02.jpg, 03.jpg. The second folder selected in the screenshot shows 28 split small images, indicating that the original 2.jpg has been split into multiple small image files.
This result is very suitable for batch checking. You can first confirm whether results have been generated for each original image by folder, then enter specific folders to view the small image content. Because the small images are named by sequence number, it is also more organized for subsequent reference, uploading, or further processing.
Operation Steps: Batch Import Images and Set Fixed Width and Height Splitting
Next, the complete operation will be explained using screenshots of the software interface. The entire process adopts a wizard-style step approach, with the top showing the current progress, such as "Select records to process," "Set processing options," "Set save location," "Start processing." This process is suitable for batch file processing because users can first confirm input files, then set parameters uniformly, and finally output results centrally.
Step 1: Enter the Splitting Function in Image Tools
After opening HeSoft Doc Batch Tool , there are different tool categories on the left, including Home, Task Flow, All Tools, File Name, Folder Name, File Organization, Word Tools, Excel Tools, PowerPoint Tools, PDF Tools, Text Tools, Image Tools, Video Tools, Audio Tools, etc. Since the task involves images, select "Image Tools" on the left.
In the image tools list, find "Split image into multiple small images." In the screenshot, this function is highlighted, and its description is "Batch split large images into many small images." This indicates it is exactly the function used to divide a large image into multiple small ones.
The purpose of this step is to enter the correct function module. Do not select functions like convert images to JPG, PNG, or add watermarks, as those address format conversion or effect processing, not cutting images by width and height.
Step 2: Add Image Files and Confirm Records to be Processed
After entering the "Split image into multiple small images" function, the top of the page provides two common entry points: "Add files" and "Import files from folder." If the number of images is small, you can add files directly; if all images are in the same directory, it is recommended to use "Import files from folder," which is more efficient for batch processing.
The screenshot shows that 5 JPG files have been imported. The table lists the sequence number, name, path, extension, creation time, modification time, and an action column. It is recommended to focus on three checks here: first, check if all "Names" are the images to be split; second, check if the "Paths" are from the correct folder; third, check if the "Number of records" at the bottom matches the actual number of images prepared for processing. The screenshot shows 5 records, indicating all 5 images have been added.
If incorrect files were imported, you can remove them using the delete icon in the action column; if the list is incorrect, you can also use the "Clear" button at the top to re-add files. After confirming everything is correct, click "Next" at the bottom to enter processing option settings.
Step 3: Select "Fixed Width and Height Splitting," Enter Width and Height
Upon arriving at the "Set processing options" page, you can see the "Splitting method" area, offering "Average split" and "Fixed width and height split." If your goal is to cut images into 200×200 small images, you should select "Fixed width and height split." The red arrow in the screenshot points to this option.
After selecting fixed width and height splitting, two required parameters need to be filled in below: "Width of each small image" and "Height of each small image." In the example screenshot, both items are filled as 200, meaning the target size for each output small image is 200 pixels wide and 200 pixels high. For scenarios requiring uniform square tiles, this setting is very intuitive.
If your requirement is not 200×200, you can also fill in other values according to business needs. For example, web thumbnails might need 300×200, data tiles might need 256×256, and local preview images might need 400×400. The key is to determine the size before batch processing, because the software will use the same set of width and height parameters for all images in the list.
Step 4: Set Output Directory and Execute Start Processing
After setting the width and height, continue by clicking "Next." According to the process flow at the top of the page, the following steps involve "Set save location" and "Start processing." During the save location stage, it is recommended to select a new output directory to avoid mixing the split small images with the original images. For batch image splitting, one original image can generate many small images; if the output location is unclear, subsequent organization will take a lot of time.
After confirming the save location, enter the "Start processing" step to execute the task. Wait for the software to finish processing, then open the output directory to see the result folders generated corresponding to the original images, and the small images arranged in order within the folders. The 01.jpg to 28.jpg files shown in the post-processing screenshot are the file results obtained from one splitting operation.
Frequently Asked Questions: Points to Note Before and After Batch Fixed Width and Height Image Splitting
1. Can multiple images be processed at once? Yes. From the operation screenshot, it can be seen that 5 JPG images were imported into the list at once, and the software processes them uniformly based on the record list. This is the advantage of batch office software, suitable for handling large numbers of file tasks with repetitive rules.
2. How to choose between "Add files" and "Import files from folder"? If you only process a few scattered images, using "Add files" is more direct; if all images are already collected in one folder, using "Import files from folder" is more efficient and less prone to omissions.
3. Will the split files overwrite the original images? Looking at the process, the software has a separate "Set save location" step. It is recommended to select an independent output directory. This allows managing original images and results separately. To be safe, it is also recommended to keep backups of important images before batch processing.
4. What should the fixed width and height be set to? This depends on the subsequent use. The example in this article is 200×200, suitable for square small images and regular tiles. If used for web cards, PPT layouts, system uploads, or data training, the width and height should be filled in according to the requirements of the corresponding platform or project.
5. Why are the output results separated by folders? The post-processing screenshot shows five folders: 1, 2, 3, 4, 5. This result structure makes it easy to map to the original images. Small images split from each large image are placed in their own folder, making subsequent checking and referencing clearer.
6. How are edge small images handled? If the original image size is not evenly divisible by the set width and height, the edge parts might have special size or content situations. Since the screenshots do not show additional edge handling options, it is recommended to test with a small number of sample images first, and execute in large batches only after confirming the results meet requirements.
Summary: The Key to Batch Image Cutting is to First Unify the Rules, Then Let the Software Automate Execution
The most important aspect of batch cutting multiple images into 200×200 small images is not manual cropping skills, but establishing unified processing rules. HeSoft Doc Batch Tool strings together a clear process of adding files, setting fixed width and height, setting save location, and starting processing through the "Split image into multiple small images" function. Users only need to import images into the list, select "Fixed width and height split," fill in the width and height, and the software will automatically complete the repetitive cutting work.
For office staff, operations personnel, design collaborators, and data organizers, this batch processing method can significantly save time, reduce the probability of human error, and make the output files more organized. It is recommended to test a few sample images for the 200×200 or other target sizes before formally processing a large number of images, and then batch import all images for processing after confirming the effect.