Wait, what? A Word document?

Have you ever found yourself faced with a Word document containing a wealth of data, all neatly structured in a repeating pattern, and wished to seamlessly migrate it to an SQL database for robust querying and manipulation?

Well, prepare to have your mind blown: A Word document, in the docx format is just a compressed zip file housing various xml files. It’s fascinating how seemingly mundane formats can harbor hidden potential. Let’s dive into the process of converting a Word document into an SQL database using SQLizer. Here are the steps:

Step 1: Extract the Word Document

To get started, you need to convert your Word document into its raw XML form. Follow these steps:

  1. Change the filename by appending .zip to the end of the Word document’s file name.

  2. If you’re using Windows, you can use a standard unzip application to extract the document’s contents. If you’re on a Mac, open the terminal and use the following command:

    unzip filename.docx.zip -d output-path

Step 2: Locate the XML Document

Once you’ve successfully extracted the contents, you’ll find a folder named word within your designated output-path. Inside this folder, you’ll discover a file named document.xml. This XML file contains all the structured data from your Word document.

Step 3: Convert with SQLizer

Now, it’s time to leverage SQLizer to convert the extracted XML file into a structured SQL database. Follow these steps:

  1. Visit SQLizer’s website at SQLizer.io.
  2. Upload the document.xml file that you extracted in the previous step.

By default, SQLizer will provide you with an INSERT statement for each paragraph and heading, creating separate rows in your SQL database. This data will be ready for you to perform your SQL magic, enabling you to do intricate queries and data manipulations.

Conclusion

Although converting Word documents to SQL databases isn’t an everyday task, SQLizer comes to the rescue when those unique scenarios arise. Its straightforward process allows you to efficiently transform Word documents into structured SQL databases, unlocking the full potential of your data. So, the next time you receive a Word document filled with essential information, you’ll know precisely how to convert it into an SQL database using SQLizer.

🖤 SQLizer team.

Hello there! SQLizer has some exciting news for you. If you’re considering data conversion, here’s the deal: For personal projects with fewer than 5,000 rows, it’s completely free!

If you’re dealing with a hefty CSV file containing over 5,000 rows that requires SQL treatment, we gotchu. Simply use the code CONVERTME10, and you’ll enjoy a 10% discount on your Pro Monthly plan for the first 12 months. Alternatively, if you’re thinking long-term, grab a one-time 10% discount on your Pro Annual plan. It’s a win-win, no matter how you look at it!