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SmartSoft Invoices – Version History – August 2016 – August 2016


New Features and Functionality

  • ‘Current ERP’ menu name changed to Integration;
  • CSV ERP name changed to Internal data base;
  • Added support for colored headers. Better support for white character headers on a black or gray background;
  • Improved table detection before and after training;
  • Improved support for multiple subtotals entries in one or more tables;
  • Added a new feature where the software automatically fills in a column to the end of a multi-page document, not only for the active page;
  • Added a new feature where the Unique flag is used for document identifying purposes and improves training. Very similar feature to the Vendor list field, but can be used instead of it;
  • Hidden fields can be exported to CSV;
  • Added a new formula for automatic data base type detection;
  • Empty content of a dynamic SQL list is treated as a valid result;
  • E-mail import from Gmail accounts no longer re-uses IMAP connection. Now the connection is re-established each time, instead of being re-used;

Resolved Issues

  • Reduced the generation of extra lines in the line items table;
  • Fixed issue related to prevention of table data extraction from US checks;
  • Fixed a problem where page switching was laggy;
  • Fixed some errors in tooptip dialogues;
  • Fixed a formula corruption stemming from the field mappings;
  • Fixed a redundant line in SQL export for non-exportable fields;
  • Fixed a crash during page scrolling;
  • Fixed a crash during refresh region stemming from a recursive formula;
  • Fixed premature barcode separator removal;

Installation and Upgrade Notes

  • This program is backwards compatible with previous versions. The user can install the new release over their previous release without trouble. All previous settings will be kept.
  • The installation involves the following steps assuming you’ve already have the setup file on your computer:
    1. It is not a requirement, but it’s always a good idea to make a backup of your current Field templates and settings prior to upgrade;
    2. Make sure the previous version of the software is not running;
    3. Double click on the setup file;
    4. Follow the directions until the installation is complete;
    5. When there are newly implemented features, they will come with default values. The user must set their own specific values for that setting/feature manually;
    6. After the installation is complete, please launch the software. All previous settings should be in tact;

Known Issues and Limitations

  • No one-click backup of all user data (FTF, training data, settings): The user must export the FTF from the field designer, export the settings from the Tools menu and manually copy the training data from one computer to another;
    1. In order to export the FTF, please launch the software, go to File -> Edit form template, select the template which you would like to export and click on the Export button. Pick a name and a location for the FTF. You can import FTFs by following the same procedure, but you must click in the Import button;
    2. In order to export all settings, please launch the software, go to Tools -> Export Settings. Pick a name and a location for the exported file. In order to import the settings, please go to Tools -> Import settings and select the previously exported file;
    3. In order to back up or transfer the training data the user must copy the training data files from one folder to another. The training data is kept here:C:\Users\USER NAME\AppData\Local\SmartSoft\SmartSoft Invoices\Templates Training data files have .sft extension. You can just transfer the files to another location in order to back them up. Or if you are transferring training data from one computer to another you must copy the files back to this folder on the new computer you are setting up.
  • Static nature of training data: If there is non-structured data which does not have any headers and can’t extracted based on validation rules, formatting and regular expressions training data may not work properly and the user will have to fix such mistakes manually. Fixing of such mistakes usually involves slight region dimension manipulation or manual region assign.

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