The main reason many PDF files are oversized is due to high-resolution images, excessive quality parameters, or numerous embedded resources. This article takes HeSoft Doc Batch Tool as an example to introduce how to batch process images in multiple PDF files using the "PDF Optimization and Compression" feature, uniformly setting image quality, maximum resolution, and other parameters to reduce file size and improve efficiency in email sending, archiving, uploading, and data transfer.
In daily office work, PDFs are often used for distributing contracts, scanned documents, reports, courseware, drawing descriptions, product manuals, and other files. The problem is that whenever a PDF contains many high-definition images, scanned pages, or screenshots, the file size increases significantly. A file size of a few MB might be acceptable, but if you need to process dozens or even hundreds of PDFs simultaneously, opening, compressing, and saving them one by one is not only time-consuming but also prone to missed files or inconsistent parameters.
The core issue this article addresses is: how to batch optimize and compress images in many PDF files to reduce file size. The office software used here is displayed in the screenshot as HeSoft Doc Batch Tool . Its positioning is not merely for viewing PDFs but as an office efficiency tool focused on batch processing files and reducing repetitive work. For users needing to batch compress PDFs, batch convert PDFs, or uniformly organize documents, this type of tool can centralize repetitive operations into a single workflow.
Below, using before-and-after comparison images and software operation screenshots, we will explain how to use the "PDF Optimization and Compression" function to add multiple PDF files at once, set image quality and maximum image resolution, and then batch-generate smaller PDF files.
Applicable Scenarios: Which PDF Files are Suitable for Batch Image Optimization and Compression
Excessive PDF file size is not always caused by images, but in office scenarios, images are often the primary reason. For example, scanned contracts, materials generated from photos, manuals with numerous product images, image-heavy reports, and PDFs exported from training courseware can all take up significant space due to high image quality.
If you encounter the following situations, batch PDF optimization and compression is highly suitable:
- Email attachment exceeds limit: Many email services limit attachment sizes for single emails, making it especially easy to exceed limits when sending multiple PDF files together.
- System upload restrictions: Reimbursement systems, bidding systems, archive systems, and government platforms often have upload limits of 5MB, 10MB, or 20MB.
- Slow syncing on cloud drives or collaboration platforms: Uploading, downloading, and syncing PDFs with many images is time-consuming, affecting team collaboration efficiency.
- Scanned document archiving takes up space: Roles like administration, HR, and finance often need to preserve a large volume of PDF scans long-term; reducing file size in batches can save storage space.
- Need for unified compression parameters: If each PDF is compressed manually, ensuring consistent image quality and resolution parameters is difficult. A batch tool allows for unified rules.
It's important to note that the method introduced here focuses on optimizing image resources within PDFs, such as reducing image quality and limiting the maximum image resolution (PPI). If a PDF consists almost entirely of text, the compression potential might not be as significant as for scanned documents or image-heavy PDFs.
Effect Preview: PDF File Size Before Processing
Before processing, there were 5 PDF files in the sample folder with noticeably different sizes. Among them, 1.pdf was 6,538 KB, 2.pdf was 3,094 KB, 3.pdf was 614 KB, 4.pdf was 49 KB, and 5.pdf was 3,830 KB. As you can see, some PDFs had already reached several MB. If the number of such files increases, the overall pressure on transfer and upload will become even greater.

From the screenshot, the file sizes of the PDFs before processing are displayed in the red box area on the right. For PDFs containing images, this size usually comes from high-resolution images, scanned pages, or unoptimized embedded resources. Manual compression one by one is certainly possible, but the operational cost increases rapidly as the number of files grows.
Effect Preview: PDF File Size is Significantly Reduced After Processing
After completing the PDF optimization and compression using HeSoft Doc Batch Tool , the sizes of the 5 sample PDF files changed significantly: 1.pdf decreased from 6,538 KB to 2,733 KB, 2.pdf from 3,094 KB to 2,722 KB, 3.pdf from 614 KB to 134 KB, 4.pdf from 49 KB to 35 KB, and 5.pdf from 3,830 KB to 1,279 KB.

Calculating the total for these 5 files, the pre-processing total size was about 14,125 KB, and the post-processing total was about 6,903 KB, a reduction of more than half overall. Different compression ratios for different files are normal: the more images, the larger the original images, and the higher the resolution, the more likely significant compression effects will be achieved; if the file itself was already small or had been compressed before, the change might be relatively limited.
Operation Steps: Batch Processing PDF Images Using "PDF Optimization and Compression"
The complete operation workflow is described below following the order of the screenshots. In practice, you can adjust the parameters based on the number of files and quality requirements, but the overall approach remains the same: first enter the tool function, then import PDF files, set image compression parameters, and finally choose a save location and start processing.
Step 1: Enter PDF Tools and Select "PDF Optimization and Compression"
After opening HeSoft Doc Batch Tool , you can see several office file processing entries in the left category, such as Word Tools, Excel Tools, PowerPoint Tools, PDF Tools, Image Tools, etc. Since the processing target this time is PDF files, you first need to enter the PDF Tools category on the left.
In the list of PDF tools, find and click "25. PDF Optimization and Compression". The interface description shows this function is used for "batch optimization and compression of PDF files to reduce file size," which perfectly aligns with the goal of this article: "batch compressing images in PDFs to reduce file size."

The purpose of this step is to select the correct function from the software's numerous batch processing capabilities. Once selected, the software will enter the "PDF Optimization and Compression" processing flow page. For frequent PDF users, this function can serve as a common compression entry point for image-based PDFs, scanned PDFs, and document pack PDFs.
Step 2: Add PDF Files to Be Compressed
After entering the "PDF Optimization and Compression" page, the top of the workflow shows 4 stages: Select records to process, Set processing options, Set save location, Start processing. You are currently at Step 1, which is importing or selecting the PDF files to be processed.
The top right of the interface provides two entry points: "Add Files" and "Import Files from Folder". If you only need to select a few specific PDFs, you can use "Add Files"; if a folder contains many PDFs that need to be imported at once, "Import Files from Folder" is more suitable. In the screenshot, 5 records—1.pdf, 2.pdf, 3.pdf, 4.pdf, and 5.pdf—have already been imported.

After importing, the table displays information such as serial number, name, path, extension, creation time, and modification time. You can check this information to verify the files are correct and avoid adding unnecessary files to the task. On the right, you can also see the delete operation to remove a specific file; there is also a "Clear" button on the interface to restart if there's an import error. The display below the table shows "Record count: 5," indicating that 5 PDF files will be batch-processed currently.
The expected outcome of this step is: all PDF files to be compressed appear in the list, and their paths, file names, and extensions are confirmed correct. After confirmation, click the "Next Step" button at the bottom to enter parameter settings.
Step 3: Set Image Quality and Maximum Image Resolution
After entering Step 2 "Set processing options," you will see parameters directly related to image compression. The screenshot shows Image Quality (1~100) and Maximum Image Resolution (PPI), both with on/off switches on their left. When the respective switch is turned on, the parameters in the input boxes will be applied in this PDF optimization and compression process.

The image quality in the screenshot is set to 60%. Generally speaking, the higher the image quality value, the more image detail is preserved, and the file size might be larger; the lower the image quality value, the smaller the file size, but image clarity might decrease. Therefore, if the goal is general reading, archiving, or system submission, 60% is usually a practical starting point; if the file is used for printing, high-definition display, or detailed drawing review, it's advisable to reduce the quality cautiously.
The Maximum Image Resolution PPI is set to 72 in the screenshot. PPI can be understood as the maximum pixel density limit for images within the PDF. For scenarios like screen reading, web uploading, and daily approval, a lower PPI is often sufficient; for files that need printing or zooming in to view details, it should not be set too low. The purpose of setting 72 PPI here is to further limit the resolution of image resources within the PDF, thereby reducing file size.
The interface also shows a Font Embedding Method option, but as this topic focuses on optimizing and compressing images in PDFs, this option is not highlighted as a key explanation in the screenshot. During actual operation, it's recommended to prioritize the two parameters of Image Quality and Maximum Image Resolution, as they directly relate to the size change of image-heavy PDFs.
The expected outcome of this step is: setting appropriate image compression parameters based on the file's intended use. If it's only for uploading, archiving, or email sending, you can lean towards a smaller file size; if higher clarity needs to be preserved, you should appropriately increase the quality or PPI. After setting up, click "Next Step".
Step 4: Set Save Location and Start Batch Processing
Following the page workflow, after setting processing options, you will enter Step 3 "Set save location," then proceed to Step 4 "Start processing." Although the screenshot does not show the specific details of the save location page, it can be reasonably inferred from the progress bar that the software will ask the user to specify the save location for the compressed PDFs before executing the batch processing.
It is recommended to use a clear folder naming convention for the save location, such as "Compressed PDFs," "Optimized PDFs," or "Submission PDFs," to avoid mixing them with the original files. If you need to keep the original high-definition PDF, it's best not to overwrite the original files directly but to save the processed files to a new folder. This way, even if you later find that a PDF requires a higher-definition version, you can return to the original file and reprocess it.
Once processing starts, the software will batch execute optimization and compression according to the list of records. Compared to manually opening and saving PDFs one by one, the advantage of a batch workflow is that parameters only need to be set once, files can be added to the queue at once, and the processing results are output uniformly, making it suitable for repetitive document tasks in an office environment.
Parameter Recommendations: How to Set Image Quality and PPI More Appropriately
When batch compressing PDF images, the most common question is "is smaller always better?" The answer is not absolute. The smaller the PDF file size, the easier it is to transfer, but if the image quality is too low, problems like blurred text edges, noticeable image noise, unclear seals, and distorted table lines may occur. Therefore, it's recommended to choose parameters based on the intended use.
- For online submission or general reading only: You can start experimenting between image quality 50~70 and PPI 72~120. The screenshot example uses image quality 60 and maximum resolution 72 PPI, showing noticeable compression effects.
- For internal archiving: If you only need to review the content in the future, moderate compression is okay; if it might involve photocopying, printing, or auditing, it's advisable to retain higher quality.
- For formal printing: It's not recommended to excessively lower the PPI; you can increase the parameter based on actual printing requirements.
- For contracts, certificates, and receipts: Ensure that key text, signatures, and QR codes remain clear and legible; it's best to spot-check a few pages after compression.
A safer approach is to first select a small number of representative PDFs for a test run, check the processed file size and clarity, and then apply the same set of parameters to the bulk files. The value of HeSoft Doc Batch Tool lies in that, once you determine the parameters, you can quickly apply the same rules to the entire batch of PDFs without needing to reset them repeatedly.
Common Questions and Notes
1. Why do some PDFs change significantly after compression while others show little change?
This is related to the content structure of the PDF. If a PDF contains many high-resolution images, scanned pages, or uncompressed images, the optimization potential is usually large; if the PDF mainly consists of text, vector content, or has already been compressed, the room for further compression will be relatively small. As seen in the example, 4.pdf was originally only 49 KB and became 35 KB after processing, showing a less dramatic change compared to 1.pdf and 5.pdf.
2. Will batch compression affect the PDF content?
Judging from the function's purpose, "PDF Optimization and Compression" mainly reduces file size by optimizing resources. If the image quality and resolution settings are too low, visual clarity might be affected. Therefore, after processing, it's recommended to open a few files for spot-checking, paying close attention to key content like text, images, seals, QR codes, and table lines.
3. Is it recommended to overwrite the original PDFs?
It is not recommended to directly overwrite the original PDFs without a backup. A better practice is to save the compressed PDFs to a separate folder and, after confirming they are correct, use them for upload, sending, or archiving. For important materials like contracts, receipts, and certificates, it's safer to retain the original high-definition version.
4. Can many PDF files be processed at once?
As can be seen from the interface, the software supports adding files and also importing files from a folder, suitable for batch processing multiple PDFs. The actual number of files that can be processed at once usually depends on computer performance, PDF file size, and processing parameters. For a large number of files, batch processing in smaller groups and checking the output results afterward is recommended.
5. What purposes are the compressed PDFs suitable for?
Compressed PDFs are more suitable for scenarios like email sending, system uploads, cloud drive syncing, general reading, and document archiving. For high-quality printing, publishing, or situations with very high demands for image detail, compression parameters should be set cautiously.
Summary: Solving the Repetitive Labor of PDF Image Compression with a Batch Processing Mindset
Batch optimization and compression of images in PDFs is essentially about finding a balance between file size and visual quality. For daily office work, many PDFs don't need to retain excessively high-resolution images. As long as the text is clear, the content is readable, and key elements are not distorted, file size can be significantly reduced by lowering image quality and limiting the maximum PPI.
Using the "PDF Optimization and Compression" function of HeSoft Doc Batch Tool , the task that originally required opening, compressing, and saving files individually can be transformed into a batch workflow of unified import, unified setting, and unified output. In the example, the overall volume of 5 PDF files was reduced by more than half, indicating that this method has significant efficiency value for image-heavy PDFs.
If you are dealing with a batch of overly large PDF files, it's advisable to first select a few samples to test suitable image quality and PPI parameters. After confirming the clarity meets the requirements, import the entire batch of files into the software for batch processing. This way, you can reduce PDF file size while also reducing repetitive work, making email sending, system uploading, and document archiving smoother.