Software⏱️ 3 min read📅 2026-06-11

How to Fix: Bulk fix for Excel 97-2003 error "format does not match extension"

Bulk fix for Excel 97-2003 error "format does not match extension"

Quick Answer: Use the `xlCreateBook` function in Stata to create a new workbook, then use `xlWrite` to write the data from the old files into the new workbooks.

Bulk Fix for Excel 97-2003 Error: Format Does Not Match Extension

This error occurs when trying to open or convert Excel files (.xls) with large amounts of text data into a format that can be read by Stata, resulting in frustration and wasted time. In this guide, we will walk you through the steps to fix this issue for 1700 files and convert everything in bulk.

⚠️ Common Causes

  • The primary reason for this error is the mismatch between the file extension (.xls) and the actual format of the file. This can be caused by various factors, including incorrect file saving or editing processes.
  • Another possible cause is the presence of large amounts of text data in the files, which may lead to formatting issues when trying to convert them to a compatible format.

🚀 How to Resolve This Issue

Bulk Conversion using Excel's Save As Feature

  1. Step 1: Open each Excel file and go to the 'File' menu. Click on 'Save As' and select 'CSV' as the file type.
  2. Step 2: In the 'Save As' dialog box, make sure the 'Text Files' checkbox is selected and click on 'OK'. This will save the file in a format that can be read by Stata.
  3. Step 3: Repeat this process for all 1700 files. Note: This method may take some time depending on the size of the files.

Bulk Conversion using Python Script

  1. Step 1: Download and install the `openpyxl` library, which allows you to read and write Excel files in Python.
  2. Step 2: Write a Python script that loops through each file, saves it as a CSV file, and uses the `openpyxl` library to convert it to a compatible format.

✨ Wrapping Up

To fix the 'format does not match extension' error for 1700 Excel files, you can use either the bulk conversion method using Excel's Save As feature or a Python script. Both methods require patience and attention to detail, but will ultimately save you time and effort in the long run.

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