When downloading, exporting, or compiling many Word, docx, or doc files, filenames often end with inconsistent numbers, such as EnglishVocabulary2468.docx or StudyPlan2024.docx. Manually deleting these numbers one by one is not only time-consuming but also prone to omissions. This article demonstrates how to use HeSoft Doc Batch Tool to batch fuzzy-search for numeric keywords in filenames using wildcard regular expressions and replace them with nothing, thereby removing numeric suffixes from filenames in one go and quickly obtaining cleaner, more uniform document names.
When organizing teaching materials, exam papers, project documents, or client deliverables, you often encounter a typical problem: the main part of a file name is a meaningful English or Chinese name, but it is followed by a string of irregular numerical IDs. For example, EnglishVocabulary2468.docx, ExamReview5820.docx, LearningGoals3091.docx. If there are only a few files, manual renaming is acceptable; however, if a folder contains dozens or hundreds of Word documents, .docx files, or .doc files, deleting the numeric suffixes one by one becomes repetitive work, and it is easy to miss deletions, delete incorrectly, or corrupt the file extension.
This article addresses the problem of "using wildcard regular expressions to batch fuzzy delete keywords from many file names." We will use HeSoft Doc Batch Tool as an example to demonstrate how to use the "find and replace keywords in file names" function in office software. By using the regular expression \d{4} to find 4-digit numbers in file names and leaving the replacement content empty, we can achieve the effect of batch deleting numeric IDs from file names. This method is not only applicable to the .docx files shown in the screenshots but also to cleaning file names for .doc, .pdf, .txt, .xlsx, and other files with similar naming patterns.
Applicable Scenarios: Which File Names Are Suitable for Regex Batch Fuzzy Deletion
Wildcard regular expressions are suitable for processing text in file names that has patterns but with varying specific content. For example, file names may all contain numeric IDs, but the number is different for each file; or file names might have dates, serial numbers, version numbers, or download source markers, etc. Traditional exact search can only delete completely identical text, whereas regular expressions can describe a class of rules, making them very suitable for batch fuzzy deletion of keywords.
Taking the example in this article, the file names before processing are EnglishVocabulary2468.docx, ExamReview5820.docx, LearningGoals3091.docx, MathNotes1357.docx, StudyPlan2024.docx. The main names of these files are different, and the numbers at the end are also different, but the numbers all share a common characteristic: they are all consecutive 4-digit numbers. In this case, you can use the regular expression \d{4} to uniformly match these numbers, then replace the matched content with empty to ultimately keep the clean file name body.
Common applicable scenarios include:
- Batch deleting random numeric suffixes from Word document names, such as 4-digit IDs at the end of .docx and .doc file names.
- Batch removing serial numbers, platform IDs, or system-generated numeric strings from downloaded file names.
- Cleaning up useless IDs from the names of course materials, exam papers, study plans, meeting minutes, and other documents.
- Uniformly deleting dates, version numbers, or temporary markers from multiple file names when organizing folders.
- Standardizing messy file names for easier subsequent archiving, retrieval, sharing, and batch management.
The positioning of HeSoft Doc Batch Tool is a batch file processing tool within office software, and its core value is reducing repetitive operations. For such tasks of batch renaming, batch finding and replacing in file names, and batch deleting keywords from file names, it can transform the work that originally required right-clicking and renaming one by one into a single rule configuration and unified execution.
Effect Preview: File Names Before Processing Containing Irregular Numeric IDs
First, look at the file list before processing. In the screenshot, you can see that each Word document file name has a set of numbers marked by red lines at the end. For example, 2468 in EnglishVocabulary2468.docx, 5820 in ExamReview5820.docx, and 2024 in StudyPlan2024.docx. These numbers are not fixed keywords, so you cannot use a method like "find 2468 and delete" to solve all files at once.
The difficulty with these types of file names is that the content to be deleted is in a similar position, but the specific values are different. Copying the numbers and deleting them one by one is very inefficient; using ordinary replace can only handle a specific, determined string. The advantage of regular expressions lies precisely here: it does not care what the specific number is, only that it conforms to the rule of "consecutive 4-digit numbers." Therefore, as long as you set the find condition to \d{4}, you can match all 4-digit numbers at once.
Effect Preview: Numeric Suffixes Batch Deleted After Processing
After the process is complete, the numeric suffixes in the file names have been deleted, and the file extension .docx remains unchanged. The original EnglishVocabulary2468.docx becomes EnglishVocabulary.docx, ExamReview5820.docx becomes ExamReview.docx, and LearningGoals3091.docx becomes LearningGoals.docx. The file names are simpler and more suitable for archiving and searching.
From the before-and-after comparison, it can be seen that this operation did not replace a specific fixed word, but used regular rules to batch fuzzy delete a class of text. For office scenarios requiring batch cleanup of file names, this method is more reliable than manual renaming and can significantly reduce repetitive work.
Operation Steps: Using Wildcard Regular Expressions to Batch Delete Keywords from File Names
Step 1: Enter the "File Name" tool category and select the Find and Replace function
After opening HeSoft Doc Batch Tool , select "File Name" in the left navigation bar. In the list of file name-related tools, you can see multiple batch processing functions, including inserting text into file names, adding prefixes/suffixes, deleting text from file names, etc. The one we need to use this time is "Find and Replace Keywords in File Names," because our goal is to first find numbers in file names according to a rule, and then replace them with empty.
The purpose of selecting this function is to enter the wizard specifically designed for batch finding and replacing text in file names. In the screenshot, this function card is highlighted, indicating it is suitable for "batch find and replace keywords in file names of files." For the requirement in this article of batch deleting numeric IDs, replacing with empty is equivalent to deletion.
Step 2: Add the files to be processed and confirm the file list
After entering the function page, the interface top displays the current function as "Find and Replace Keywords in File Names." The first step is "Select records to process." You can use the "Add Files" button on the interface, or use the "Import Files from Folder" button to add the files needing batch processing to the list. In the screenshot, 5 .docx documents have been imported, and the table shows information such as serial number, name, path, extension, creation time, and modification time.
The operational purpose of this step is to ensure the software only processes your selected files. After importing, it is recommended to check the file list: is the file quantity correct, are the paths the target folder, do the extensions meet expectations. The bottom of the screenshot shows the record count is 5, indicating there are currently 5 files pending processing. If files not needing processing were incorrectly added, they can be removed according to the operation column on the interface; if there are many files, you can also use the filter and sort buttons on the interface to assist in checking.
Step 3: Set the find method to "Use formula for fuzzy text search"
After confirming the file list, click "Next" to enter "Set Processing Options." In the "Set Keyword Options" area, the interface provides different find methods. For this article, we need to use wildcard regular expressions to find numbers by rule, so you should select "Use formula for fuzzy text search." In the screenshot, this option is already selected.
The key point here is: do not choose exact search which is only suitable for fixed text, but use the fuzzy search method that can express rules. Because the numbers in each file name are different, such as 2468, 5820, 3091, 1357, 2024; they are not the same fixed string, but all conform to the rule of "4-digit numbers."
Step 4: Enter the regular expression in the list of keywords to find
In the "List of Keywords to Find" on the left, enter \d{4}. This expression can be understood as: match 4 consecutive digits. Where \d represents a digit character, and {4} means appears consecutively 4 times. Therefore, it can match 4-digit numbers like 2468, 5820, 3091, 1357, 2024 in file names.
If the numbers you want to delete in your file names are 3-digit IDs, you can change the expression to \d{3}; if they are 6-digit IDs, you can change it to \d{6}. If the number of digits is not fixed, you need to adjust the expression according to the actual rules. However, in the screenshot example for this article, the numbers to be deleted are all 4 digits, so using \d{4} is most direct.
Step 5: Leave the list of keywords for replacement empty to achieve the "Delete" effect
The screenshot on the right side is the "List of Keywords for Replacement," with a note beside it saying "Leave empty to delete." Therefore, you do not need to enter any replacement text this time; just keep the right-side list empty. The software will replace the matched numeric content from the left list with blank space during processing, effectively deleting these numbers from the file names.
This design is very suitable for batch deleting keywords from file names. Many users might initially think they must enter a new word, but actually, not filling in the replacement content means deletion. For example, after matching 2468 in EnglishVocabulary2468.docx, replacing it with empty yields EnglishVocabulary.docx. The file extension .docx does not belong to the matched 4-digit numbers, so it will be retained.
Step 6: Continue to the next step, set the save location, and start processing
After setting the processing options, click the "Next" button at the bottom of the interface. According to the top process prompts, you will then enter "Set Save Location" and "Start Processing." The purpose of these two steps is to confirm the save method for the processed files and to formally execute the batch renaming task. Since batch file name processing directly affects file management results, it is recommended to double-check the find expression, replacement content, and file list before starting the process.
If you are using regex for batch deletion of file name keywords for the first time, it is advisable to select a small number of files for testing first. After confirming the processing results meet expectations, then execute the batch process on a large number of files. This allows you to leverage the efficiency advantage of batch processing in office software while reducing the impact of incorrectly written rules.
Regular Expression Explanation: Why \d{4} Can Delete These Numbers
In file name batch processing scenarios, the role of a regular expression is to "describe the text pattern to find." The \d{4} in this article can be understood by splitting it into two parts:
- \d: Represents any single digit, typically ranging from 0 to 9.
- {4}: Indicates the preceding rule appears consecutively 4 times.
Combined, \d{4} means any consecutive 4-digit number. It will not just match a specific fixed ID, but will match all content that fits this rule. Therefore, whether the file name contains 2468, 5820, or 2024, as long as it is a consecutive 4-digit number, it will be identified.
It is important to note that regular expressions match rules. If the main body of the file name itself also contains a 4-digit number, for example, Report2024Final2025.docx, then numbers fitting the rule might also be matched. In actual use, you should choose a more precise expression based on the file name structure, or test with a small number of files first. In the example for this article, the numbers are located at the end of the file name and are all 4 digits, so the operation result is very clear.
Frequently Asked Questions and Notes
1. Why leave the replacement keyword list empty?
Because the requirement this time is to delete numbers from file names, not replace them with other text. The interface already prompts "Leave empty to delete," so just leave the replacement list on the right side empty. If you entered other content, the software would replace the matched numbers with your entered content, rather than deleting them.
2. Will the .docx extension be deleted?
The expression used in this example is \d{4}, which only matches consecutive 4-digit numbers. The extension .docx does not fit this rule, so it will not be deleted. After processing, the files remain Word documents, and the extension remains .docx.
3. What if the numbers in the file name are not 4 digits?
You can adjust the expression based on the length of the IDs. For example, use \d{3} to delete 3-digit numbers, or \d{6} to delete 6-digit numbers. If the ID length is not fixed, you need to set a more suitable expression based on the actual file name rules. It is recommended to verify on a small number of files first before batch processing.
4. Is this applicable to files other than .doc and .docx?
As seen in the screenshot, the current example processes .docx files. The core of this function is processing file names, so as long as the files are imported into the list and your processing rules apply to the file names themselves, it can be used for similar batch naming cleanup scenarios. This same approach applies to Word documents, PDFs, text files, spreadsheets, etc., based on the actual situation.
5. Should I back up before batch operations?
Batch modification of file names is an operation that affects the file management structure. Although the software can greatly improve efficiency, if a regular expression rule is written too broadly, it might match content you do not want to delete. Therefore, before processing a large number of important files, it is recommended to first copy the folder, or select a small sample for testing, and execute the batch process only after confirming the results are correct.
Summary: Turning Repetitive Renaming into a Single Rule-Based Process with Office Software
Batch deleting numeric suffixes from file names is essentially a high-frequency but often overlooked office productivity issue. Manual processing is not only slow but also prone to missed changes, incorrect changes, and naming inconsistencies. With the "Find and Replace Keywords in File Names" function in HeSoft Doc Batch Tool , you can use wildcard regular expressions to uniformly identify irregular numeric IDs, and then leave the replacement content empty to achieve batch deletion.
In the example of this article, we used \d{4} to batch match the 4-digit numbers at the end of .docx file names, quickly organizing files like EnglishVocabulary2468.docx and ExamReview5820.docx into EnglishVocabulary.docx and ExamReview.docx. If you are organizing a large number of Word, .docx, .doc, or other office files, and the file names contain similar random IDs, serial numbers, dates, or keywords, you can follow the steps in this article: first import files, select formula-based fuzzy search, fill in the regex rule, leave the replacement content empty, and then execute the process. This can compress the originally repetitive and tedious file renaming work into a single, controllable batch operation.