When there are many similar keywords, numbers, or abbreviations that need to be uniformly replaced across multiple Word, docx, or doc documents, opening each file and manually finding and replacing is not only time-consuming but also prone to omissions. This article uses HeSoft Doc Batch Tool as an example to demonstrate how to use formula fuzzy search, namely regular expression wildcard rules, to batch find and replace content in multiple Word files. By setting the find rules and replacement content once, you can uniformly replace text that meets the criteria with the specified results, making it suitable for data cleaning, template revision, document standardization, and other scenarios.
In daily office work, many people encounter this situation: a folder contains dozens or even hundreds of Word documents, and each document has some keywords, English abbreviations, serial numbers, years, amounts, or codes that need to be uniformly modified. If it's just one word, you can use Word's built-in find and replace; but if you need to replace a type of content, such as all consecutive uppercase letters, all numbers, or a specific numbering format, manual processing becomes very inefficient.
The problem this article aims to solve is: how to use regular expression wildcard formulas to batch replace keywords in many Word documents. Here we use HeSoft Doc Batch Tool as an example to demonstrate using formulas to perform fuzzy text searches in multiple docx files and batch replace content matching the rules with specified text. The example in the screenshot replaces content matching the uppercase letter rule with A and numerical content with B. Although the example uses 6 files, it is equally applicable to batch processing a larger number of doc and docx documents.
Applicable Scenarios: Which Word Content Is Suitable for Batch Replacement Using Regular Expressions
Ordinary keyword replacement is suitable for handling explicit, fixed text, such as changing a company's old name to a new one or uniformly updating a product name. However, in actual office work, much content is not a fixed word but a type of text sharing common patterns. In these cases, regular expressions or wildcard formulas are more suitable.
1. Batch Replace Variable Content Like Serial Numbers, Digits, and Years
For example, contracts, course materials, training manuals, and project documents may contain many numbers. These could be lesson counts, page numbers, serial numbers, amounts, percentages, etc. If you want to uniformly replace all consecutive digits with a placeholder, using the formula \d+ is much more efficient than entering each number individually.
2. Batch Replace English Abbreviations or Codes
The Word example in the screenshot contains uppercase abbreviations like BOT, ELA. If you need to uniformly process all three-letter uppercase abbreviations, you can use a rule like [A-Z]{3} to match. This method can cover multiple different abbreviations without needing to individually enter words like BOT, ELA, BUD.
3. Batch Clean Placeholder Content in Template Documents
Many internal company templates, course materials, and project manuals use fixed-format placeholders, such as ABC, 2026, No.001, etc. Using regular expression wildcard formulas, you can quickly replace content matching these formats with unified new text, reducing repetitive work.
4. Batch Process Multiple docx and doc Files
If there is only one Word file, manual replacement might be acceptable; but if you have a batch of Word documents, like 1.docx to 6.docx in the screenshot, opening, finding, replacing, and saving each one is very repetitive. The batch processing capabilities of office software can concentrate these steps into a single task, improving efficiency and reducing the probability of missed changes.
Effect Preview: What Changes Before and After Processing
Before Processing: Multiple Word Files Require Unified Content Replacement
Before processing, there are multiple Word documents in the folder, including 1.docx, 2.docx, 3.docx, 4.docx, 5.docx, 6.docx in the example. All these docx files need the same set of keyword replacement rules applied.
Opening one of the Word documents, you can see English abbreviations and numerical content in the body text that need processing. For instance, BOT appears in the title, and ELA, 60, etc., appear in the body. Red arrows indicate the positions of text to be matched by rules.
Following the traditional approach, you would need to open each Word file, search for BOT, ELA, 60, etc., and replace them separately. The problem is that abbreviations and numbers may not be identical across different files, and manually listing all keywords makes omissions very likely.
After Processing: Rule-Matched Text Is Batch Replaced
After processing is complete, the content matching the formula rules in the document has been replaced. In the screenshot, you can see that content matching the three uppercase letter rule has been replaced with A, and numerical content has been replaced with B. Yellow highlights show the change positions after replacement, facilitating effect verification.
Effectively, the replacement targets not just one fixed word, but a category of text matching the rules. For example, [A-Z]{3} can match three consecutive uppercase English letters, and \d+ can match consecutive digits. Therefore, it is suitable for batch processing large amounts of patterned content in Word documents.
Operation Steps: Using HeSoft Doc Batch Tool to Batch Replace Word Keywords
The complete operation flow is explained below according to the screenshot order. The core idea is: first enter the find and replace function within the Word tool, then import the files to be processed, then select formula-based fuzzy text search, and finally fill in the search rules and replacement content.
Step 1: Enter the Word Tool and Select the Find and Replace Function
After opening HeSoft Doc Batch Tool , select the Word tool in the left function area. The main interface shows multiple batch processing functions related to Word documents, such as adding watermarks, modifying font paragraph formats, exporting images, Word to PDF conversion, etc. The function to use this time is the first one: Find and Replace Keywords in Word.
The purpose of this step is to enter the task page specifically for batch finding and replacing Word content. Unlike Word's built-in function, this does not just process one currently open document, but executes the replacement task uniformly across multiple Word files.
Step 2: Add the Word Files to Be Processed
After entering the Find and Replace Keywords in Word page, you can see buttons like Add Files, Import Files from Folder, Clear, More, etc., at the top of the interface. In the example, 6 docx files have been imported, and the file list shows information like serial number, name, path, extension, creation time, and modification time.
If the number of files is small, you can use Add Files to select them one by one; if a folder contains all the Word documents to be processed, you can use Import Files from Folder, which is more suitable for batch tasks. After importing, it is recommended to check the file list to confirm that all docx or doc files to be processed appear in the list.
The expected result of this step is: all pending files enter the task list, and the record count is displayed at the bottom of the page. In the screenshot, the total record count is 6, indicating that the same keyword replacement rules will be applied to these 6 Word documents this time.
Step 3: Enter the Settings for Processing Options
After confirming the file list is correct, click Next at the bottom of the page to enter the settings for processing options. The process progress bar at the top of the interface moves from selecting records to be processed to setting processing options. This flow design helps users know which step the current task is at, avoiding accidentally starting processing before rules are set.
Step 4: Select Use Formula for Fuzzy Text Search
In the Set Keywords options, the search methods provided are Exact Text Search and Use Formula for Fuzzy Text Search. Since this article needs to process a category of content following patterns, not a single fixed keyword, you need to select Use Formula for Fuzzy Text Search.
The formula-based fuzzy search here can be understood as using regular expression wildcard rules. After selecting this method, fill in the list of keywords to find on the left and the list of replacement keywords on the right. The software performs replacements based on the corresponding row relationship between the two sides.
Step 5: Fill in the Regular Expression Wildcard Formula and Replacement Content
In the screenshot, two lines of rules are filled in the left-side list of keywords to find:
- Line 1: [A-Z]{3}
- Line 2: \d+
And two lines of content are filled in the right-side list of replacement keywords:
- Line 1: A
- Line 2: B
This means the software will replace content matching the Line 1 rule [A-Z]{3} with A, and content matching the Line 2 rule \d+ with B. The row numbers on the left and right must correspond one-to-one, otherwise, the replacement result may not meet expectations.
Here, [A-Z]{3} means matching 3 consecutive uppercase English letters, such as BOT, ELA, etc.; \d+ means matching consecutive digits, such as 60, 2, 5, etc. This way, users don't need to know the specific abbreviations or numbers in the documents beforehand; as long as they match the rules, they can be batch processed.
Step 6: Continue Setting the Save Location and Start Processing
After completing the search rules and replacement content settings, click Next. According to the interface flow, the subsequent steps involve Setting Save Location and Start Processing. As these two step names are visible in the screenshot, during actual operation, follow the interface prompts to choose the save location for processed files, and then start the batch processing task.
It is recommended to keep a backup of the original files before batch replacement, or save the processed results to a new folder. This way, even if the regular expression rules are set improperly, you can go back and adjust based on the original files, avoiding directly overwriting important documents.
Common Issues and Notes
1. Regular Expression Rules Should Be Tested on a Small Scale First
The advantage of regular expressions is their broad matching scope, but because of this, if a rule is written too broadly, it might replace content that shouldn't be changed. For example, [A-Z]{3} will match all sequences of three uppercase letters; if such formats exist in a document, they may all be replaced. Therefore, it is recommended to test with a small number of Word files first, confirm the effect, and then batch process all files.
2. The Left and Right Lists Must Correspond by Row
The find list and replacement list correspond by row. The find rule in Row 1 corresponds to the replacement content in Row 1, and the find rule in Row 2 corresponds to the replacement content in Row 2. If the left side has two lines but the right side only has one, it might cause some rules to have no replacement value or produce unexpected results.
3. Pay Attention to the Case Matching Option
In the interface, you can see an additional option to ignore letter case. For a rule like [A-Z]{3} that explicitly matches uppercase letters, checking or unchecking the case-related option might affect the actual matching scope. When processing English abbreviations, it is recommended to decide whether to ignore case based on actual needs.
4. Check Compatibility for Both doc and docx Files
The example file extension in the screenshot is docx. If the actual task includes older doc files, it is recommended to verify the processing effect with a small number of files first. Different versions of Word documents may differ in format, compatibility, and content structure, so checking before batch processing can reduce risks.
5. Avoid Creating Too Many Complex Rules at Once
If many rules need to be replaced, it is recommended to configure and process them in batches. Process the most explicit, lowest-risk rules first, then handle the more complex ones. This makes it easier to locate problems and check whether the processed Word content meets expectations.
Summary: Improve Word Batch Replacement Efficiency with Formula-Based Fuzzy Search
The greatest value of using regular expression wildcard formulas to batch replace Word keywords lies in handing repetitive, mechanical, and error-prone manual operations over to office software. For patterned content like English abbreviations, numerical codes, and template placeholders across multiple docx and doc documents, HeSoft Doc Batch Tool can complete work that would originally require repeatedly opening files, by importing files once, setting rules once, and executing in batch once.
If you are processing a large number of Word documents with content exhibiting clear patterns for replacement, you can prioritize trying formula-based fuzzy text search. It is recommended to first prepare a file backup, then follow this article's steps to import files, set rules like [A-Z]{3} and \d+, and verify the results. Once confirmed, batch process all documents. This approach enhances efficiency while ensuring replacement quality.