With Emailchemy, you would at least get some of the messages out. However, because data corruption is random in nature it can sometimes cause Emailchemy to halt or stop the conversion prematurely - but this only happens with files that even Outlook would have trouble opening. Most of the time, if an expected data object like an attachment or other message body part is missing, Emailchemy will easily recover and you will get the message in the output with all the data that Emailchemy was able to find. When Emailchemy finds corrupted entries in the PST data, it will first tell you about it by logging a warning to the console (or to stdout.log or stderr.log file) and then it will try to recover. These are the cases that you may not notice in normal day-to-day use, but when you want to export your email from Outlook PST files with a utility like Emailchemy, you just might.Įmailchemy reads the PST file directly from the disk - not using the Microsoft connectors or API’s, but it reads the data from the PST’s database in much the same way that Outlook would. But sometimes it is more subtle, like you may discover messages or attachments have disappeared, search no longer returns any results, or you can’t move messages in or out of the PST file.
How do you know if a PST file is corrupt? There are major tells, like if Outlook tells you, for example, when you try to open it, or, if Outlook crashes when you try to open a particular message or open a particular folder in the PST data. It can be random, and you may not even notice it right away, but even if a single bit gets flipped from a “0” to a “1” in a PST file, you could lose messages or the ability to even open the PST file in Outlook. The combination of these characteristics, combined with the fact that Outlook and Windows do crash every now an then, makes the Outlook PST file somewhat susceptible to data corruption.
Inbox Repair Tool on Windows VistaOutlook PST files have a very complicated internal database structure, which is read from and written to probably thousands of times every day, and they tend to be quite large.
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