When multiple Word documents contain English abbreviations, numerical codes, course codes, or other regular text patterns, it is inefficient to open and replace them one by one. This article uses six docx files as an example to introduce how to use the "Find and Replace Keywords in Word" feature in HeSoft Doc Batch Tool . By entering regular expressions through the formula fuzzy search method, you can replace three uppercase letters with A and numbers with B. The article covers the before and after effects, detailed operation steps, and precautions, making it suitable for office users who need to batch modify Word content.
When organizing English materials, course descriptions, project documents, or contract attachments, you often encounter situations where "the same type of content is scattered across many Word files." For example, multiple docx documents might contain three-letter English abbreviations, numerical codes, hour counts, page numbers, or internal codes. The manual approach usually involves opening the first Word file, finding and replacing, saving and closing; then opening the second Word file and repeating the same actions. The more files involved, the more obvious the repetitive work becomes, and it is very difficult to ensure consistent processing across all files.
If these keywords follow clear patterns, you can use regular expression wildcard formulas to perform batch replacements. This article uses HeSoft Doc Batch Tool to demonstrate how to batch find and replace keywords in Word. This software is an office productivity tool designed for batch processing scenarios involving Word, Excel, PDF, and other file types. Its core value lies in consolidating repetitive, mechanical document operations into a single task flow.
Applicable Scenario: Batch Replacing Patterned Text in Word
The method in this article is suitable for processing patterned keywords in a large volume of Word, docx, and doc documents, not just replacing a single fixed term. For instance, documents might contain three-letter uppercase abbreviations like ABC, BOT, ELA; numbers like 60, 100, 2026; or project codes, course codes, clause numbers, etc. If this content needs to be uniformly replaced, anonymized, or converted to placeholders, you can use formulas for fuzzy searching.
Compared to manual replacement, the advantages of a batch tool are mainly reflected in three aspects. First, files can be imported all at once without opening them individually. Second, search rules are set up only once and can be applied to all files. Third, multiple rules can be processed simultaneously, for example, one rule for uppercase abbreviations and another for numbers. For those who frequently organize templates, regulations, course materials, or English documents, this type of operation can save a significant amount of time.
It should be emphasized that regular expressions are a method of "matching text by rules." They are very powerful, but they also require users to clearly understand what they intend to match. The more precise the rule settings, the more controllable the batch replacement results.
Effect Preview: Files and Document Content Before Processing
From the pre-processing screenshot, it can be seen that there are 6 Word documents in this example folder, with filenames 1.docx, 2.docx, 3.docx, 4.docx, 5.docx, and 6.docx respectively. These files will serve as the target objects for the same batch task.
Upon opening one of the documents, you can see that the body text contains multiple targets requiring replacement. The title area features BOT, the body paragraph features ELA, and sentences include numerical content like 60 hours. Red arrows point to some representative targets, indicating that these keywords are not concentrated in one location but are scattered across titles, paragraphs, and descriptive text.
If handling just one document, manual find-and-replace might be acceptable; but when this content exists across 6, 60, or even more files, manual operation is no longer efficient. More importantly, although BOT and ELA are specifically different, they both belong to the text category "three-letter uppercase words," which can be matched uniformly using a single formula.
Effect Preview: English Abbreviations and Numbers Uniformly Replaced After Processing
After processing is complete, reviewing the document effect shows that the original three-letter uppercase letters have been replaced with A, and numbers have been replaced with B. For example, the title's beginning changes from BOT to A, the ELA-related content in the body becomes A, and the original positions of numbers like 60, 2, and 5 become B.
This indicates that the batch replacement rules have taken effect on the document content. For actual office scenarios, you can change A and B to the content you need, such as "Some Institution," "Some Number," "Code Hidden," or "Project Code." The key is that the find formula on the left and the replacement text on the right must have a one-to-one correspondence.
Operation Step One: Open the Find and Replace Feature in the Word Tool
After opening HeSoft Doc Batch Tool , select "Word Tools" in the left navigation bar. The main interface displays multiple batch Word processing functions; the one used this time is "Find and Replace Keywords in Word." As seen in the screenshot, this function is the first item in the Word Tools list, indicating its purpose is to batch find and replace keywords within the content of Word files.
After selecting this function, the software enters a dedicated processing workflow. The interface is designed for step-by-step operation, where users only need to complete file selection, processing options, save location, and start processing in sequence. For those unfamiliar with batch processing, this workflow design helps reduce missed steps.
Operation Step Two: Import the docx Documents to Process
After entering the function page, the first step is to "Select the records to be processed." The top-right area of the page provides two main entry points: "Add Files" and "Import Files from Folder." If there are only a few files, you can click "Add Files"; if the files are all in the same folder, it is recommended to click "Import Files from Folder," as this better suits the batch processing usage pattern.
The post-import list in the screenshot contains 6 docx files, with the software displaying the sequence number, name, path, extension, creation time, and modification time. The bottom shows a record count of 6, used to confirm the number of files for this task. After importing, two key checks should be made: whether the file paths are correct, and whether the extensions match the expected Word file type.
If files that don't need processing were imported, you can delete single records using the operation column; if the entire list needs re-selection, you can click "Clear." After confirming everything is correct, click "Next" at the bottom of the page to proceed to rule settings.
Operation Step Three: Enable Formula-Based Fuzzy Text Search
The second step is to "Set processing options." In the "Find Method" area, the interface provides two radio button options: "Exact Text Find" and "Use Formula for Fuzzy Text Find." Since this example aims to match a category of text, not a fixed term, "Use Formula for Fuzzy Text Find" should be selected.
Exact text find is suitable for processing specific keywords, such as replacing "old name" with "new name." Formula-based fuzzy text find is suitable for processing variable content, like all numbers, all three-letter uppercase letters, or specific numbering structures. In this example, BOT and ELA can both be matched by a three-letter uppercase formula; numbers like 60, 2, and 5 can be matched by a numeric formula.
Operation Step Four: Enter the Regular Expression Wildcard Formulas
In the left-side "List of Keywords to Find," enter the formulas to search for, one per line. In the screenshot, line 1 contains [A-Z]{3}, and line 2 contains \d+.
[A-Z]{3} can be interpreted as: uppercase letters from A to Z, appearing consecutively 3 times. Therefore, it will match three-letter uppercase abbreviations like BOT and ELA. \d+ can be interpreted as: one or more digits. Therefore, it will match numeric content like 60, 2, and 5.
The advantage of this setup is that there's no need to list every possible abbreviation or number in advance. As long as they conform to the pattern described by the formula, the software can find them within the Word document content and replace them according to the rule on the right side.
Operation Step Five: Set Replacement Results and Check Correspondence
In the right-side "List of Keywords After Replacement," the screenshot example has A on line 1 and B on line 2. This means all text matched by [A-Z]{3} will be replaced with A, and all text matched by \d+ will be replaced with B.
It is crucial here to check the row correspondence. Left-side line 1 corresponds to right-side line 1, and left-side line 2 corresponds to right-side line 2. If you need to add more rules, this one-to-one line structure should be maintained. For example, if line 3 searches for a certain type of code, the corresponding replacement content must be filled in on line 3 of the right side.
The interface also displays an "Ignore letter case" option. Whether to check this depends on actual needs. If only uppercase abbreviations are intended for matching, arbitrarily ignoring case is generally not recommended; if your document features mixed case and everything needs processing, you can combine testing with sample documents.
Operation Step Six: Set Output Location and Execute Batch Processing
After filling in the rules, click "Next." The top workflow shows that "Set Save Location" and "Start Processing" remain. It is recommended to save the processed files to a new folder rather than overwriting the original files directly. This way, even if the formula scope is found to be too broad or the replacement content is incorrect, the task can be re-executed using the original files.
Once processing starts, the software will execute the same set of find-and-replace rules file by file according to the imported list. After processing finishes, open the result files for inspection. When checking, don't just look at the first replacement; it's best to view multiple positions like titles, body text, lists, and parenthetical notes to ensure the replacement scope matches expectations.
Common Issues and Precautions
1. Why did all numbers become B in the example? Because line 2 on the left used \d+, and line 2 on the right had B filled in. Any position matching one or more digits was replaced with B.
2. What if I only want to replace 60 and not other numbers? Then you should not use the overly broad \d+. You could use a more precise search term, or design a stricter formula based on the actual format. The matching scope should be assessed before batch replacing.
3. Could the three-letter uppercase formula accidentally replace other abbreviations? It's possible. [A-Z]{3} will match all sequences of 3 consecutive uppercase letters. If the document contains other three-letter abbreviations you don't want replaced, they will also be affected. Therefore, always validate with sample documents before formal processing.
4. What does an empty replacement list mean? The interface prompt "Leaving it blank means deletion" indicates that if a row on the right side has no content filled in, the corresponding matched items might be deleted. The right-side list must be checked during batch processing to avoid omissions.
5. How to operate more safely when there are many files? It is recommended to first import 1 or 2 representative files for testing. After confirming the rules are correct, import all files for batch processing. This can avoid affecting too many documents at once.
Summary: Turning Repetitive Replacements into a One-Time Setup with a Batch Tool
The difficulty in batch replacing keywords across multiple Word documents lies not in the single replacement action itself, but in the high number of repetitions, the scattering of content, and the susceptibility to rule omission. HeSoft Doc Batch Tool uses the "Find and Replace Keywords in Word" feature to consolidate multiple docx files into a single task for processing, and supports using formulas for fuzzy text searching.
In the example from this article, the user only needed to import 6 docx files, select the formula search method, enter [A-Z]{3} and \d+, and set the replacement results to A and B, to complete the batch replacement of English abbreviations and numbers. For office workers needing to process large numbers of Word, docx, and doc documents, it is recommended to apply this method for template updates, material anonymization, numbering standardization, and bulk content cleanup, thereby significantly reducing repetitive labor.