![]() Store embedded PDF attachments in any folder for archivingĮxtract textual data from PDF documents automatically and save them as CSV file Print, rename, move, or copy PDF files automatically 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. 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. Previously, only one- or two-column lists were supported.Ĭopying libraries required for the OCR process did not work if the installation directory did not correspond to the standard.Free Download Gillmeister Automatic PDF Processor 1.28.5 | 134 Mb ![]() When using a CSV file for queries, the columns for search value and result can now be specified. Splitting: New variant 'Split on blank pages' Splitting: Toggle switch - separate before/after QR code Splitting: Toggle switch - remove blank pages before/after splitting Search field for profile names, comments, monitored folders Support of placeholders also for the subsequent execution Although this produced larger files, it was more compatible with different document types. ![]() The previous version of the library is now being used again for the OCR process. ![]()
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