This article introduces how to use HeSoft Doc Batch Tool to batch find and replace keywords in multiple Word, docx files using regular expression wildcard formulas. The example replaces three-digit uppercase letters and numeric content in multiple documents with specified characters, suitable for scenarios like contracts, courseware, English materials, report templates that require batch desensitization, unified naming, or text standardization. The article explains key steps in screenshot order, such as file import, selecting fuzzy find formulas, filling in find and replace lists, and continuing processing, helping users reduce the time spent manually opening Word for replacements.
In daily office work, many people encounter similar problems: a folder contains dozens or even hundreds of Word documents, each scattered with the same type of keywords, numbers, English abbreviations, or numerical information. If you open each docx file individually and then use Word's built-in find and replace function, it is not only time-consuming but also easy to miss certain locations. This is especially true when the content you are looking for is not a fixed term but "a type of text that conforms to a certain pattern," as ordinary replacement becomes inflexible in such cases.
The core problem this article aims to solve is: how to use regular expression wildcard formulas in office software to batch replace keywords in multiple Word files. The example uses HeSoft Doc Batch Tool , which is positioned as document batch processing software for office scenarios, with its key value lying in batch processing files, reducing repetitive work, and improving processing efficiency. Through the "Find and Replace Keywords in Word" function, the matching content in multiple docx documents can be uniformly replaced according to rules.
Applicable Scenarios: Which Word Batch Replacement Tasks Are Suitable for Regular Expressions
If you are just replacing one fixed term from "Party A" to "Client", traditional find and replace can also handle it. However, when the target content has variations, such as different English abbreviations, different numbers, or different numbering lengths, regular expression wildcard formulas are more suitable. They can match all content fitting a pattern in one go and then uniformly replace it with the specified result.
Common applicable scenarios include: batch replacing English abbreviations in Word documents; batch processing numerical sequences in docx and doc files; uniformly replacing sensitive numbers in contracts, papers, and reports with placeholders; standardizing old codes, old abbreviations, and old project numbers across multiple template documents; and replacing a certain type of uppercase abbreviation with a new identifier in English materials.
From the screenshot example, the targets for processing are 6 Word documents, named 1.docx to 6.docx. This number of files is not particularly large, but it is enough to illustrate the significance of batch processing. If you were to manually find two types of content in each file and then save them one by one, the repetitive steps would be very numerous; using a batch processing tool, you only need to set the rules once to process multiple files consecutively.
Effect Preview: Keywords in Multiple Docx Files Are Scattered Before Processing
Before processing, the folder contains multiple Word documents. The screenshot shows 6 docx files: 1.docx, 2.docx, 3.docx, 4.docx, 5.docx, and 6.docx, which are the targets for this batch replacement.
After opening one of the Word documents, you can see various types of content in the body text that need processing. For example, "BOT" in the title, "ELA" in the body, and numerical content like "60 hours". The red arrows in the screenshot indicate typical locations: one is an uppercase English abbreviation, and the other is a number. In actual work, this content might be distributed across titles, body text, lists, and paragraph descriptions, making it easy to miss during manual searching.
This example does not just replace one fixed term; it uses two rules to process two types of text respectively: the first type is a sequence of 3 consecutive uppercase letters, such as BOT and ELA; the second type is numbers, such as 60, 2, and 5. Such replacement needs are very suitable for completion using regular expression formulas.
Effect Preview: Keywords Are Batch Replaced According to Formula Rules After Processing
After completing the batch processing, opening the documents for review shows that the content previously matching the rules has been changed to the specified new content. In the screenshot, the original three-letter uppercase abbreviations have been replaced with A, and the numerical content has been replaced with B. For instance, the position of BOT in the title has become A, and the ELA-related positions in the body text have also been replaced with A; the original positions of numbers like 60, 2, and 5 have become B.
It should be noted that the yellow highlights in the screenshot are mainly used to help observe the replacement positions; the actual assessment of the effect should be based on whether the document content has been changed to the target text. This result shows that batch replacement is not just effective for a single document, but can uniformly execute the same set of find and replace rules for multiple Word files in the import list.
Operation Step 1: Enter the Word Tool and Select the Find and Replace Function
First, open HeSoft Doc Batch Tool . In the function category on the left, select "Word Tools". The main interface will display batch processing functions related to Word documents, such as adding watermarks, deleting blank lines, converting formats, replacing images, etc. The function to be used this time is the first one: "Find and Replace Keywords in Word".
The description of this function is to batch find and replace keywords in the content of Word files, which perfectly matches the requirement of this article. The purpose of selecting this function is to enter a dedicated batch replacement workflow, rather than manually operating within a single Word document. After entering the function, the software will guide the user through the steps of importing files, setting processing options, setting the save location, and starting the process.
Operation Step 2: Add the Word Files to Be Batch Processed
After entering the "Find and Replace Keywords in Word" page, the top of the interface displays buttons like "Add Files", "Import Files from Folder", "Clear", "More", etc. If the number of files to be processed is small, you can click "Add Files"; if all the docx documents are concentrated in a single folder, it is more appropriate to use "Import Files from Folder", which allows you to import multiple Word files at once.
The screenshot shows that 6 records have been imported, named 1.docx to 6.docx, located in the D:\test\ directory, all with the docx extension. The list also shows the creation time and modification time, with a summary at the bottom showing a total record count of 6. The purpose of this list is to allow the user to confirm the scope of files to be processed this time, avoiding the inclusion of unrelated Word files in the task.
If you find a file that does not need processing, you can use the delete action on the right side of the corresponding row to remove it; if you imported a whole batch of wrong files, you can use "Clear" to reselect. After confirming the list is correct, click "Next" at the bottom to enter the keyword rule setting page.
Operation Step 3: Choose to Use Formula for Fuzzy Text Search
On the "Set Processing Options" page, you first need to choose the search method. The screenshot shows two options: "Exact Text Search" and "Use Formula for Fuzzy Text Search". This example selects "Use Formula for Fuzzy Text Search".
The reason for choosing this option is: what we are looking for is not a fixed string, but a type of content that follows a pattern. For example, both BOT and ELA are 3 uppercase letters; 60, 2, 5, etc., all belong to numbers. After selecting Use Formula for Fuzzy Text Search, you can describe these patterns using regular expressions or wildcards, thus enabling more flexible Word batch replacement.
If your task is only to replace a fixed term like "Old Company Name" with "New Company Name", you can use Exact Text Search; but if you need to batch replace patterned content such as serial numbers, dates, codes, English uppercase abbreviations, or consecutive numbers, it is recommended to use Use Formula for Fuzzy Text Search.
Operation Step 4: Fill in the List of Keyword Formulas to Search For
The left side of the page is the "List of Keywords to Search For". As seen in the screenshot, the example fills in two rows of rules: the first row is [A-Z]{3}, and the second row is \d+.
[A-Z]{3} means matching 3 consecutive uppercase English letters, so it can match content like BOT and ELA. \d+ means matching one or more digits, so it can match numerical content like 60, 2, and 5. With these two formulas, you can cover multiple distinct but similarly patterned texts within the document.
When filling in rules, note that each row corresponds to one search rule. The software will look for matches in the Word document content based on the rules in the list. To reduce incorrect replacements, it is recommended to first verify the formulas on a few sample documents to ensure they meet expectations before using them for large-volume batch processing.
Operation Step 5: Fill in the List of Replacement Keywords and Maintain Row Correspondence
The right side of the page is the "List of Keywords for Replacement". In the screenshot, the first row is filled with A, and the second row with B. This means the content matched by the first row [A-Z]{3} on the left will be replaced with A; the content matched by the second row \d+ on the left will be replaced with B.
The most important aspect here is the row correspondence. Row 1 on the left corresponds to Row 1 on the right, and Row 2 on the left corresponds to Row 2 on the right. Do not write the replacement content in the wrong row, otherwise situations like "uppercase letters being replaced with numerical placeholders" or "numbers being replaced with letter placeholders" could occur.
The prompt next to the title on the right side of the screenshot also says "Leaving it blank means deletion". That is, if the replacement content for a search rule is empty, it may achieve the effect of deleting the matched content. This article's example is to replace with A and B, so both rows on the right are filled.
Operation Step 6: Continue to Set the Save Location and Start Processing
After completing the settings for the search formulas and replacement content, click "Next" at the bottom of the page. According to the workflow at the top of the interface, the subsequent steps include "Set Save Location" and "Start Processing". Setting the save location is very critical; it is recommended not to overwrite the original files directly. It is best to choose a new output directory to save the processed Word documents. This way, even if you find that the rules need adjustment, you can still retain the original files for reprocessing.
After entering the start processing step, execute the task following the software workflow. Once processing is complete, open the docx files in the output directory for a spot check, confirming whether keywords in titles, body text, lists, and other positions have been replaced according to the rules. If the number of processed files is large, you can prioritize checking documents containing typical keywords, then check a few random files.
Common Questions and Considerations
1. Why use regular expressions instead of ordinary find and replace? Because ordinary find and replace is suitable for fixed text, while regular expressions are suitable for patterned text. For example, all three-letter uppercase abbreviations, all numbers, a certain numbering format, etc. In this article's example, BOT and ELA are not the same word, but both can be matched by [A-Z]{3}.
2. Can both doc and docx be processed this way? Judging from the interface function name, it is oriented towards Word file processing; the file extension in the screenshot example is docx. If your files contain doc or other Word formats, it's recommended to test with a small number of files first to confirm they can be imported and processed normally before executing in batch.
3. How to avoid incorrect replacements? When using formula fuzzy search, the broader the rule's scope, the higher the risk of false matches. For example, \d+ will match all numbers, including page numbers, serial numbers, numbers in dates, etc. If you only want to replace a specific type of number, you should write a more precise formula and verify it on sample documents first.
4. What happens if the replacement content is empty? The interface prompt says "Leaving it blank means deletion". Therefore, if you do not fill in content for a row on the right, the corresponding matched items might be deleted. Be sure to check the list on the right before batch processing to avoid deleting important content due to an oversight.
5. Is a backup necessary before batch processing? It is recommended to keep the original files, or output them to a new folder when setting the save location. Improperly set rules during batch replacement can affect a batch of documents, so a backup is very necessary.
Summary: Improve Word Batch Replacement Efficiency with Formula Rules
Using the "Find and Replace Keywords in Word" function of HeSoft Doc Batch Tool , you can replace patterned content across multiple docx files in one go. Compared to manually opening Word documents one by one, this method is more suitable for handling office tasks with large quantities, unified rules, and high repetitiveness.
This article's example uses the two formulas [A-Z]{3} and \d+ to replace three-letter uppercase abbreviations and numbers with A and B, respectively. You can adjust the formulas and replacement text according to your own document content for batch desensitization, field unification, template standardization, or cleaning up old serial numbers. It is recommended to test on a small number of files before formal processing to confirm the effect is correct, and then execute in batch. This can both improve efficiency and reduce the risk of operational errors.