![]() ![]() In this paper, we propose a model-driven approach for the automatic generation of Android location-based mobile apps. Many of these apps are location-based apps in which users receive services based on their geographical location. Due to the significant demand for mobile apps, developers often seek faster development methods and more effective tools and techniques to generate these apps. These users download millions of apps and use them for various services. Another task that can be automated with the Automatic PDF Processor is the extraction of attachments from PDF files, for example to save ZUGFeRD XML files, XRechnung attachments or similar as part of a PDF invoice in the same folder.In recent years, the number of smartphone users has increased dramatically. The extracted data can be used (after optional validation and formatting) for naming folders or the file name, and can be saved as an extract in a CSV file. An unlimited number of extraction rules can be created within a profile. ![]() The PDF files to be processed can be narrowed down with various profile-specific filters - the document text, PDF metadata and general file information are available as filters.Įxtraction of data from the text of PDF files is optional. Numerous metadata of the PDF document can be used in addition to the content, for example to include invoice information in the file path. Any number of folders can be monitored in order to automatically print, rename or move incoming PDF files to dynamically named folders. With Automatic PDF Processor, PDF files can be processed automatically.
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