Getting Software

Find frequency of each word in one or many MS Word files. This word frequency analysis will produce a list ordered from most to least used words. This list can be saved as a text file.

Use this application to find and extract cell text in your Excel files. Save the extraction results to a file.

Shrink, (trim, decrease, compress) the filesize of your big Excel spreadsheets. Workbook size reduction is done through a simple application that removes unnecessary data.

Search for files on your computer before, after or on a specified date (modified, created, accessed). You have the option to remove (delete) file results to the Recycle Bin. You also have the ability to specify which folders or drives to scan. This program is ideal for finding old, unused files that you no longer need ('Before this date' feature). This program works well at tracking the recent file work you have done ('After this date' feature).

Use this software to automatically save all open Word documents to a separate backup file at a interval that you define. Backups can be set to occur every 5 minutes, 30 minutes, 1 hour, etc. This application sits in the system tray at the bottom right corner of your screen which makes it not intrusive and convenient.

Use this application to find and extract emails in your Excel files. Save the results to a text file.

Horizontally merge (combine, match, union) two Access tables into one by a common column (field) of data. The two tables can be located in the same Access file or two different Access files. No complicated options or SQL knowledge required. For Access experts, this is similar to an OUTER JOIN where a new table is created with the results.

Search for certain characters within an Microsoft Access database. If these characters are found, extract the field and save to file. Also, extract Access data between starting and ending characters throughout the entire database.

Search and find email addresses in Microsoft Access databases. Emails are saved to text file.

Search for certain characters within a MySQL database. If these characters are found, extract the field and save to file. Also, extract MySQL data between starting and ending characters throughout the entire database.