This article is aimed at office users who need to batch organize TXT text materials, explaining how to automatically extract the Book ID number from the file content as the file name. Through the "Rename Text Files Using File Content" function of HeSoft Doc Batch Tool , you can import multiple txt files, select custom formulas to match the text, enter regular expressions to extract the number after the Book ID, and set it to overwrite the entire file name. After processing, the originally meaningless book1.txt, book2.txt will become file names with corresponding numbers.
In daily office work, file naming often determines the efficiency of subsequent searching and management. If a folder is full of names like book1.txt, book2.txt, book3.txt, you might be able to distinguish them by order in the short term; but when the number of files increases, or when they need to correspond with tables, databases, or system numbers, such names cause great trouble. A more common situation is that the truly useful number is already written within the text content, just not synchronized to the file name.
For example, in the TXT file in the screenshot, the first line of the body contains Book ID:4829173056. If you want to use 4829173056 as the file name, the manual approach is to open the file, copy the number, close the file, right-click to rename, and paste the number. This is not complex for one or two files, but for a batch of text files, it is typical repetitive labor. This article will use HeSoft Doc Batch Tool to demonstrate how to accomplish this in bulk using wildcards/regular expressions: extracting the Book ID number from the TXT body and automatically writing it into the file name.
Applicable Scenarios: Why Automatically Use TXT Content as File Names
Using text content as a file name is not for the sake of complex operations, but to solve problems of file identification, archiving, and retrieval. When a file name cannot reflect the file's content, users are forced to rely on opening the file to view it, which adds many ineffective clicks and waiting time. Especially in scenarios with large quantities of materials, unified naming requirements, and batch delivery needs, automated naming can significantly improve efficiency.
Suitable Scenario 1: The file body contains a unique identifier. For example, Book ID, order number, customer number, contract number, project number, sample number, etc. These numbers are usually more suitable as file names than temporary ones.
Suitable Scenario 2: A large number of text files have a consistent structure. If each TXT file has the same type of field written in the first line or a fixed position, the same regex rule can be used for batch extraction. The more stable the structure, the higher the accuracy of batch processing.
Suitable Scenario 3: Needing to match with other materials. When the file name is the number, it is more convenient to correspond with Excel lists, system records, PDF attachments, Word documents, or other doc, docx materials.
Suitable Scenario 4: Reducing manual renaming errors. When manually copying file content to the file name, problems like missing one digit, copying extra spaces, or altering the wrong file easily occur. Using rules for batch processing allows the same logic to be applied stably to all files.
HeSoft Doc Batch Tool is a batch processing tool within office software. Its value is not just "renaming a file," but standardizing the batch file organization process and reducing repetitive operations. Although this example only processes 5 TXT files, it is equally applicable to larger batches of text materials.
Effect Preview: Inconsistency Between Pre-Processing File Names and Content Information
From the pre-processing screenshot, you can see there are 5 TXT text files in the folder, named book1.txt, book2.txt, book3.txt, book4.txt, book5.txt. These names are just sequential numbers and do not reflect the Book IDs within the files.
After opening one of the text files, the first line of the body displays Book ID:4829173056, which is the core field more suitable as a file name. The arrow in the screenshot points to this number. Below it, there is the title The Quiet Strength of Beginning Again and multiple paragraphs of text, but this task only requires extracting the digits after Book ID: in the first line.
Therefore, the rule for this batch renaming can be summarized as: search for Book ID: within the content of each TXT file, extract the consecutive digits that follow, and overwrite the original file name with the extracted result. As long as each file follows a similar structure, this can be done in batch.
Effect Preview: Post-Processing File Names Directly Displaying Book ID
After processing is complete, the TXT files in the folder have been renamed as numeric identifiers. In the screenshot, you can see the new file names include 1958436720.txt, 4829173056.txt, 6094728315.txt, 7305619482.txt, 8640295173.txt. These numbers come from the Book ID field in the body of their respective files.
The benefits of this naming method are direct: you can know the number without opening the file; searching by number is faster; matching with external lists is easier; delivery to colleagues or clients is more standardized. For text repositories requiring long-term maintenance, standardized file names can significantly reduce subsequent communication and search costs.
Operation Steps: Complete Workflow from Function Entry to Regex Matching
Step 1: Select the "Rename Text Files Using File Content" Function
Open HeSoft Doc Batch Tool , first select "File Name" in the left navigation. The right side will display various file name processing functions, such as finding and replacing file name keywords, inserting text into file names, adding prefixes/suffixes, case conversion, etc. This article requires renaming based on file content, so click the 8th item "Rename Text Files Using File Content".
The purpose of this step is to enter a renaming function specific to reading text file content, rather than a generic file name string modification. Upon entering, the software will guide the user step-by-step to select files, set matching rules, and execute the process.
Step 2: Import the TXT Files Needing Batch Processing
On the function page, the first step is "Select records to process". You can click "Add Files" to select TXT files individually or in batch, or click "Import Files from Folder" to import files from the target folder into the list. The screenshot shows 5 files have been imported, named from book1.txt to book5.txt, all with the .txt extension.
After importing, verify the list first. Focus on checking the name, path, extension, and record count to ensure no wrong directory is selected or irrelevant files are mixed in. Each line on the interface has a delete action on the right, and there is also a "Clear" button at the top for reorganizing the list. After confirming everything is correct, click "Next" at the bottom to enter rule settings.
The expected result of this step is that all text files needing processing appear in the task list. Only the files in the list will participate in the subsequent batch renaming.
Step 3: Set the Search Area and Enable Custom Formula Matching
After entering the second step "Set Processing Options", first set the "Search Area". In the screenshot, "Text matched by custom formula" is selected. This choice is crucial because we want to use regular expressions to precisely extract the number, rather than simply using the entire line of text.
If "First line of text" were selected, the file name might include prefixes like Book ID:, or even symbols unsuitable for file names. After selecting the custom formula, only the matched number can be used for the file name, making the result cleaner and more uniform.
Step 4: Enter the Regex for Extracting the Book ID
In the "Regular Expression" input box, fill in: (?<=Book ID:)\d+. This expression is used to match the consecutive digits following Book ID:. For the example content Book ID:4829173056, the final extraction result is 4829173056.
Here, the regex can be understood as a "locate and extract" rule: Book ID: handles the locating, and \d+ handles extracting the digits. The preceding (?<=...) syntax ensures the locating text itself does not appear in the result. Thus, the generated file name contains only the number, without the colon or the body title.
If your TXT files need to extract other fields, you should first observe the field format and then adjust the expression. For example, if the field name is different, there's a space after the colon, or the number contains letters, the rule needs to be modified accordingly. Before batch processing, it is not recommended to process a large number of files directly without understanding the text structure.
Step 5: Select "Overwrite Entire File Name" as the Naming Position
In the "Position" area, select "Overwrite entire file name". This means replacing the main body of the original file name with the text matched by the regex. The original book1.txt will be changed to the extracted number plus the .txt extension, for example, 4829173056.txt.
The interface also shows the options "At the left of file name" and "At the right of file name". If you just want to keep the original file name and add the body number as a prefix or suffix, you can choose these positions; but this example's goal is to make the file name completely equal to the Book ID, so overwrite the entire file name is used.
After completing the settings, click "Next". The process bar shows that "Set Save Location" and "Start Processing" follow. Before entering the final processing, it is recommended to double-check the rules and file list to ensure the extraction results meet expectations.
Common Questions and Considerations
1. Why is using regular expressions recommended over directly copying the first line?
Because the first line often contains fixed labels, such as Book ID:. If used directly as a filename, it might bring labels and special symbols into the filename. Using a regular expression allows extracting only the truly needed part, like the numeric identifier, making the filename cleaner.
2. Is the regex rule sensitive to text format?
The rules depend on the text content format. The example rule works for cases where Book ID: is immediately followed by digits. If the actual file is formatted as BookID, Book ID: (Chinese colon), or there is a space after the colon, the expression needs to be adjusted. Please open sample files to check before processing.
3. Is a backup needed before batch renaming?
A backup is recommended. While batch processing can save a lot of time, incorrect rule settings can also quickly affect many files. The safest practice is to copy a test folder, process a small number of files first, and process the official files only after confirming the results are correct.
4. What if multiple files extract the same number?
If Book IDs are duplicated, it may cause new filename conflicts. For materials where number uniqueness is uncertain, it's advisable not to overwrite the entire file name initially, but instead append the number to the left or right side for checking. Once the uniqueness of the number is confirmed, you can decide whether to overwrite.
5. Is this method equally applicable to Word and PDF files?
This article demonstrates with TXT text files. The software in the screenshots also includes categories for Word tools, PDF tools, etc., and function entries related to renaming based on Word and PDF content are visible, but different file formats require selecting the corresponding function. When processing doc, docx, or pdf files, you should enter the appropriate file type tool and not directly apply the TXT workflow.
Summary: Transforming Batch File Naming from Manual Copying to Rule-Based Execution
Automatically using text file content as a file name essentially transforms repetitive manual operations into reusable rules. In this article's example, the original file names were just book1.txt to book5.txt, while the body contained truly valuable Book IDs. Using HeSoft Doc Batch Tool , selecting "Rename Text Files Using File Content", importing the files, using (?<=Book ID:)\d+ to extract the number, and setting it to overwrite the entire file name, you can quickly obtain standardized numeric file names.
For users who frequently handle large batches of TXT text, system export files, collected materials, or archival documents, such office batch processing tools can significantly reduce repetitive labor, lower the error rate of manual renaming, and make file organization more standardized. It is recommended that you first validate the regular expression with a few samples, then apply the same rule to the complete folder for efficient and safe batch renaming.