Many PDF reports, contracts, or archived files contain repetitive information such as dates, years, and months. If these need to be published externally or uniformly redacted, manually removing them from each file is very inefficient. This article explains how to use HeSoft Doc Batch Tool in a PDF tool to leverage the "Find and replace keywords in PDF" feature, using "Fuzzy text search with formulas" to match April, May, and four-digit years, and leaving the replacement content blank to batch delete date text in multiple PDFs. The article covers applicable scenarios, before-and-after comparison, detailed step-by-step instructions, and notes to help users safely and efficiently complete PDF content cleanup.
When organizing PDF reports, audit files, project materials, or externally published documents, you often encounter this problem: many PDFs contain information such as dates, years, months, and numbers, and now you need to uniformly delete some of them. For example, the cover page has "April 13, 2017", but you only want to keep the "13," and clean up the English month and year. If there is only one file, manual editing is acceptable; if there are dozens or hundreds of PDFs, it becomes a highly repetitive and error-prone task.
This article will focus on the scenario of "how to batch delete PDF date text" and introduce how to use the office software " HeSoft Doc Batch Tool " to complete the batch operation. It is positioned as a batch processing tool for office files, suitable for reducing repetitive work and improving efficiency when processing PDF, Word, Excel, PowerPoint, and other files. The focus of this article is PDF: using the "Find and Replace Keywords in PDF" function, with wildcards or formula-based fuzzy matching rules, to batch delete months and years in multiple PDFs.
Applicable Scenarios: Batch Clean Up PDF Dates, Years, and Similar Keywords
Date information in PDFs often follows certain patterns, but it is not completely identical across files. For example, some files contain "April 13, 2017", others contain "May 20, 2018", and yet others have different years and months. Using ordinary exact searches would require writing a rule for each complete date, leading to high maintenance costs. Using formula-based fuzzy text search allows you to match a category of content with rules.
The following scenarios are suitable for the method described in this article:
- Batch delete English months on the covers of multiple PDFs, such as April or May.
- Batch delete four-digit years from the body text or covers of PDFs, such as 2017, 2024, 2026.
- Perform desensitization on date fields in PDF reports, retaining only part of the date information.
- Batch clean up fixed keywords, batch numbers, version numbers, or partial project codes in PDFs.
- Process multiple structurally similar PDF template files, uniformly deleting certain text that does not need to be displayed.
The core of this method is "batch find and replace." When the replacement content is empty, it effectively deletes the found text. Compared to page-by-page searching, batch processing tools are more suitable for repetitive, rule-defined office tasks.
Pre-processing Effect: Multiple PDFs All Need the Same Type of Text Cleaned
The sample folder contains four PDF files: 1.pdf, 2.pdf, 3.pdf, and 4.pdf. They are documents from the same batch that need processing. The first step in batch processing is to clearly identify which files need to be processed to avoid omissions or erroneous selections.
Opening one of the PDFs, you can see the document cover displays the title and date information. In the date area, "April" and "2017" are highlighted, indicating these two parts are the content to be deleted this time. The "13," in the middle needs to be kept. Therefore, this task is not simply deleting the entire date segment, but rather deleting the month and year according to the rules.
If processed manually, you would need to open 1.pdf, find the date, delete April and 2017; then open 2.pdf, 3.pdf, and 4.pdf to repeat the same steps. The more files there are, the more obvious the repetitive labor. More importantly, manual processing easily misses a page, a file, or a specific month format. Therefore, this kind of rule-based cleanup is better suited to be completed by batch office software.
Post-processing Effect: Matched Months and Years are Deleted
After the batch processing is complete, reopen the PDF to check, and you can see that in the original date position, the English month and four-digit year have disappeared, leaving only "13,". The position marked by a red box is blank, indicating the matched text has been deleted.
This result confirms two things: first, the fuzzy matching rules successfully located the target text; second, when the replacement content is empty, the software removes this text from the PDF. For a batch of similarly structured PDFs, this method significantly saves time.
Operation Steps: Using Fuzzy Matching to Batch Delete PDF Date Text
Step 1: Open the Find and Replace Function in the PDF Tool
After launching " HeSoft Doc Batch Tool ", you can see multiple tool categories on the left side, including Word Tools, Excel Tools, PowerPoint Tools, PDF Tools, etc. Select "PDF Tools" here, then click "Find and Replace Keywords in PDF" in the function list on the right. The description below the function card states "Batch find and replace keywords in PDF file content."
The purpose of selecting this function is to let the software perform a unified find and replace on the PDF content. Because the goal of this article is to delete keywords, we will leave the "Replacement keyword" field empty later. This will delete the found content from the PDF instead of replacing it with other text.
Step 2: Import PDF Files for Batch Processing
After entering the "Find and Replace Keywords in PDF" page, two common entry points are available at the top: "Add File" and "Import Files from Folder". If the number of PDFs is small, you can click "Add File"; if the files are already concentrated in one folder, using "Import Files from Folder" is more convenient.
In the example, 4 PDFs have been imported, and the list shows the file name, path, extension, creation time, and modification time. The summary section at the bottom shows a record count of 4, indicating these 4 files will participate in subsequent processing.
In this step, it is recommended to carefully check the file list. Key verification points include: whether the file count is correct, whether the extension is pdf, whether the path is the target folder, and whether any PDFs that should not be processed were inadvertently imported. If errors are found, you can delete single files using the operation column on the right, or use the "Clear" button at the top to re-import. After confirming the files are correct, click "Next" at the bottom.
Step 3: Set Search Mode to Use Formula for Fuzzy Text Search
After proceeding to the second step, "Set Processing Options," the interface includes "Set Keyword Options." In the "Search Mode" area, you can see "Exact Text Search" and "Use Formula for Fuzzy Text Search." Since the date text to be processed in this example has variable patterns, select "Use Formula for Fuzzy Text Search."
Selecting only "Exact Text Search" is typically suitable for deleting completely identical fixed words; whereas content like dates, years, and months often changes across files, making fuzzy search more appropriate. It can match a set of texts based on rules, reducing the number of rules and improving batch processing efficiency.
Step 4: Fill in Matching Rules in the Keyword List to Find
Next, enter the rules to delete in the left "Keyword List to Find". The example in the screenshot has two lines:
- April|May: Matches April or May. Suitable for simultaneously deleting multiple possible month words.
- \d{4}: Matches four consecutive digits, commonly used for matching years, e.g., 2017.
These two rules correspond to the two targets in the pre-processing screenshots: the first rule deletes English months, and the second deletes the year. Thus, whether April or May appears in the PDF, it can be matched; any four-digit year will also be matched.
It should be specifically noted that \d{4} matches "four digits," not limited to years. If the PDF contains other four-digit numeric codes, they might also be matched. Therefore, before formally processing a large number of files, it's best to test with a small sample first. If the document has many four-digit codes and you only want to delete the year in dates, you need to carefully assess if the rule is too broad.
Step 5: Leave the Replacement Keyword List Empty to Achieve Deletion
The right-side area is the "Replacement Keyword List". The screenshot shows a hint "Leave empty to delete." Therefore, we do not need to fill in anything on the right side this time. Write the rules to find on the left, keep the right side empty, and the software will delete the matched text.
If your goal was not deletion, but replacing April with a unified text, you would need to fill in the replacement content on the right side. The goal of this article is to batch delete PDF keywords, so leaving it empty is the correct approach.
Step 6: Continue Setting the Save Location and Start Processing
After completing the keyword rule configuration, click "Next" at the bottom of the page. From the progress bar, you can see the subsequent steps are "Set Save Location" and "Start Processing." Follow the on-screen guide to select the output location, then proceed to the start processing stage.
To ensure data security, it is recommended to save the processed PDFs in a new folder, rather than directly overwriting the original files. Especially when using fuzzy matching or wildcard rules for the first time, keeping the original files is safer. After processing is complete, you can randomly open a few PDFs to check, confirming that the months and years have been deleted as expected, before proceeding to subsequent archiving, sending, or publishing.
FAQ: What to Pay Attention to When Using Wildcards to Delete PDF Text
1. Why is "13," still retained in the middle of the date after deletion?
Because the rules in this example only matched April, May, and four-digit numbers, and did not match "13,". Therefore, after processing, the month and year in "April 13, 2017" were deleted, while the date number "13," was retained. This is exactly the advantage of rule-based processing: it only deletes the matched parts, without affecting non-matching content.
2. What if the PDF contains months like June or July?
You can continue to add the months that need to be matched in the find rules. The screenshot example only shows April|May, indicating a match for April or May. If the actual documents contain other months, you need to supplement the rules based on the document situation. Before setting rules, it is recommended to first spot-check sample documents and organize all possible spellings that might appear.
3. Should 'Ignore Letter Case' be checked?
If the month capitalization in the PDF is inconsistent, for example, April, APRIL, and april might all appear, you can consider checking "Ignore Letter Case". If you only want to match a specific case format, do not check it. Whether to check or not should be decided based on the actual text format in the PDF.
4. Why might some PDFs fail to have text deleted?
If the PDF is an image scan, the text seen on the page is essentially an image, not editable or searchable text. In this case, the text find and replace function may not be able to recognize it. You can first try to select or copy the text in a PDF reader; if it cannot be selected, it means Optical Character Recognition (OCR) processing might be needed first.
5. Will using \d{4} accidentally delete serial numbers?
It's possible. Because this rule matches all strings of four consecutive digits, it does not automatically determine if it is a year. If the PDF contains four-digit report numbers, project codes, or table data, they might also be deleted. It is recommended to test on a small scale first, and proceed with batch processing only after confirming it will not affect important content.
Tips for Improving Efficiency
To make batch processing safer and more efficient, you can follow this approach: first, copy a test folder and place only a small number of PDFs in it; set up the rules and run them once; open the processed PDFs to check the key positions; after confirming there are no errors, execute the batch processing on the complete folder. This way, you can leverage the efficiency of batch office software for file processing while reducing the risk caused by incorrect rule settings.
Additionally, it is recommended to record frequently used rules. For example, if you often need to delete four-digit years, you can save the rule description like \d{4}; if you frequently clean up English months, organize a set of month matching rules. The next time you encounter a similar task of batch deleting PDF keywords, you can quickly reuse them.
Summary: Complete Text Cleanup for Multiple PDFs with a Single Rule Configuration
The key steps for batch deleting PDF date text are: enter "PDF Tools", select "Find and Replace Keywords in PDF"; import multiple PDF files; choose "Use Formula for Fuzzy Text Search" in the processing options; enter the matching rules on the left side, such as April|May and \d{4}; leave the right-side replacement content empty; finally, set the save location and start processing.
For office workers who frequently need to process PDF reports, contracts, and archival materials, this method can transform a large amount of repetitive manual deletion work into a single rule configuration. It is recommended that you test the rules with sample files first, and then batch process the complete folder. This can improve both efficiency and ensure the accuracy of PDF content cleanup.