Spam Reader is a powerful anti-spam filter for Microsoft Outlook combining ease-of-use and a high degree
of protection against unsolicited emails. A Bayesian algorithm based on statistical analysis detects up to
98% of spam messages. Spam Reader is easily integrated into Microsoft Outlook and needs no additional adjustments.
It starts working immediately after the installation.
Spam Reader automatically scans all incoming mails and sends detected spam messages to the special folder for
further review. Using an automatically updated White List guarantees a negligible percentage of false positives.
- Windows 8/7/XP/Vista
- Microsoft Outlook 2000, XP, and 2003
- Pentium or similar processor
- 512 MB RAM
|File Size:||1.13 MB|
|License:||Free to try, $39.95 to buy|
Spam Reader Features:
- Supporting all types of mailboxes
Spam Reader can be used with all mail accounts supported by Outlook: POP3, IMAP, HTTP and Exchange.
- Bayesian Spam Filter
Implemented spam filter is based on a Bayesian algorithm that determines the probability for a particular
word or phrase to be in a spam message. This probability is used to decide whether a whole message is spam or not.
This approach to filtering mail is one of the most natural and thus precise and reliable.
The Bayesian algorithm uses the database, which is the result of statistical analysis of more than 20,000 spam messages.
Apart from regular web-updates Spam Reader increases filtering accuracy by analyzing a user's personal mailbox.
The results of the analysis are used to correct the database used for spam detection.
- White List
To make filtering safer, Spam Reader uses a technique called "White List". This technique guarantees that the
messages from user's regular correspondents will not be filtered as spam even if their contents look like spam.
White List may include names, addresses or entire domains. The list is automatically created on the first program
execution by scanning a user's address book and all saved sent messages.
- Mailing lists detection
Spam Reader supports automatic recognition of newsletters and different mailing lists in order to prevent accidental
filtering these messages as spam. When the program detects a mailing-list letter it suggests user to add its address
to Safe Recipients List. After that all messages from this list will be treated as legitimate.
- Spam and Not-Spam Dictionaries
To adjust Spam Reader filtering rules to a user's personal needs it is possible to define custom Spam and Not-Spam
Dictionaries. If a message contains a word or phrase from Spam Dictionary, then it is considered as Spam.
Messages containing a word or phrases from Not-Spam Dictionary will be directed to Inbox without further
- Coordinated interaction with Outlook Rules
Spam Reader features a special algorithm for interaction with Microsoft Outlook Rules. This algorithm allows
the user to set the order of executing Outlook Rules and Spam Reader. This option prevents chaotic movement
of spam messages between Spam folder and destination folder for some Outlook Rule in case the spam messages
match up with this Rule.