How To Access Ost Files In Outlook 2019 2016 2013 2010 2007

Here in this blog post, I am going to explain the step by step guide to access the OST file into Outlook. In case of POP configuration (Without Exchange Server environment).  Steps to Access OST Files to Outlook Now lest move to the main solution part for the query of how to access the OST file in Outlook. Basically, the solution is divided into two steps. Both the steps are mentioned in the below sections: Step 1: – Convert OST to PST Format Step 2: – Import the Output PST File into Outlook (All Versions) Step 1: – Know How Can You Convert OST to PST Format Yourself The OST file contains all your important emails along with attachments and inline images etc., attributes. So, it is highly recommended that use trusted and secure utility. For the same, here I am explaining steps to convert OST to PST format without data loss. Simply perform the steps listed below: Here you have completed the first step. Now you have a PST file, which is created from the OST file which you want to access in Outlook. Now lest move step 2 and complete the process to access OST files in Outlook. Step 2: – Import PST File (Generated in Step 1) into Microsoft Outlook This is the final step for your question, how to access OST files in Outlook? Simply perform the steps listed below: Perform for Outlook 2019, 2016, 2013, Versions Perform the below-listed steps to complete the process of accession OST into Microsoft Outlook. You can apply the below-mentioned steps on Outlook 2019, 2016, 2013 versions. Perform for Outlook 2007 and 2003 The below-mentioned steps will help to access the PST file in Outlook 2007 and 2003 versions. Perform these steps from Outlook 2007 and 2003 versions only. Note: – In this article, I have explained the easiest and secure way to access the OST file in Outlook.  Conclusion You reached here at the conclusion part of the post, which means you have gone through the process to access the OST file in Outlook 2019, 2016, 2013, 2010, 2007, and below versions. The methods explained above are trusted and experimentally tested on large data.