Convert OLM file to CSV on MacOS – Know the Best Method

OLM (Outlook file for Mac Operating System) file format is developed by Microsoft. It supports mailbox items such as contacts, emails, calendars, and so on. It helps in archiving your tasks, notes, email messages, etc. If the user like to view the OLM contacts in tabular form or Excel sheet then for that they have to convert the OLM file to CSV on Mac.

CSV(Comma-Separated Values) is a text-file format. This file format uses commas to separate values and operates newlines to separate the records. This allows the system to comprehend where the values begin and where they end.

Now, before moving further to the procedure of conversion, let’s first understand the cause of conversion.

Reasons to Convert OLM File to CSV File Format

Here are a few standard explanations for converting OLM to CSV file format.

  • Users can open CSV file data in MS Excel, Google Spreadsheets, etc.
  • CSV file does not have any storage limit.
  • Users can easily update the data saved in a CSV file format.
  • It stores data in a tabular form that is easily accessible by both technical and non-technical users.
  • CSV files can be viewed by numerous email clients.

Now that we comprehend why we ought to convert OLM to CSV. Let’s move on to the explanation section.

How to convert OLM to CSV on Mac?

Various methods are available to convert OLM to CSV. Choosing the best approach can be difficult. Here, we will examine the two reliable and dedicated techniques to accomplish the conversion process effectively and efficiently. You can opt for the manual method or the professional OLM Converter Tool to make the conversion process smooth and quick and know the answer to How to read an OLM file.

DIY Method to Convert OLM File to CSV Format

The manual method to perform the converting OLM to CSV process is described below. Follow the stages carefully to convert OLM to CSV.

  1. Launch MS Outlook and 
  2. Go to the Import/Export menu to migrate the OLM file.
  3. After migrating the OLM file, tap on the Import/Export menu.
  4. Choose Export to a File from the wizard section.
  5. Now, select CSV to store the file and click on Next.
  6. Choose the desired location to save the CSV file.
  7. Finally, hit the Finish option to end the OLM to CSV conversion process.

Users can capable for converting OLM files to CSV efficiently using the above traditional method. Nevertheless, these techniques come with specific regulations.

Limitations of the Convert OLM File to CSV

Although the traditional manner is comfortable to use, there are still several drawbacks that you should know before utilizing this approach:

  • The manual approach to performing the OLM to CSV conversion is a lengthy process.
  • Users need good technical knowledge to perform the conversion process.
  • The manual approach does not guarantee accurate results.

To confound those limits, many experts prefer going with the automated tool.

Professional Solution to Convert OLM File to CSV File

The Automated DRS OLM Converter for Mac is an effortless and trustworthy answer to convert OLM to CSV file format. This methodology permits users to batch-convert OLM files while keeping the data structure during the file migration. 

Steps to Convert OLM File to CSV

  1. Download and Launch the OLM Converter on your system.
  2. Select the Single/Multiple File Option 
  3. Add the required OLM files.
  4. Tick the desired Mailbox items from the Preview feature. 
  5. Choose CSV as the resultant file format.
  6. Finally, hit the Convert button to start the OLM to CSV conversion process.

Also Read: How to Convert OLM File to PDF Format?

Conclusion

In this write-up, we have examined various techniques to convert OLM file to CSV. The traditional technique for performing the migration process can be a tedious process. So, many professionals prefer an automated tool to convert OLM files without any data alteration or data loss.

About The Author:

Shivam is a digital marketer and technical content writer at DRS Solution®, specializing in topics like databases, email recovery, and migration solutions. He enjoys researching and crafting content that assists database administrators, businesses, and beginners in resolving various issues related to MS SQL, MySQL, and Microsoft Exchange.

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