Axiolab/OCR uses recognition to match the text of the digitized document with the most suitable supplier template.Īxiolab/OCR can create multiple templates per supplier. Users should keep in mind that assigning a specific template to a supplier invoice is an automatic process. As such, prior setup of invoice templates and formats is required.Ī set of templates must be defined to specify the metadata search expressions which will extract relevant information from the scanned document. Secondly, using the supplier invoice template, a metadata search and extraction is performed on the text of the document.The result is subdivided invoices, each stored in a separate file. From this point onwards, the PDF always contains the information available for later extraction.įollowing the overlay of metacharacters, the moment the document enters the database, a document splitting filter is applied to differentiate each individual invoice from the whole file. In the first step, the process that collects scanned invoice files embeds a layer of metacharacters in the PDF file for later recognition of invoice data.Drill across link to access the resulting documents.Īll the processes which make up Axional OCR are detailed below, from gathering files to extracting information and generating the final invoice.Control of document status and followup on document modifications.Control of batch status and modifications.Feedback in the validation loop, facilitating machine learning in the matching of the extracted data.Adjustment of values after they have been initially obtained.Calculation of information for preset items.Validations of document items grouped together, according to inherent criteria of equivalence and relevance.Validation of required information, with correspondences between master tables and key data extracted from the document.Standardization of numerical and date fields according to language, country, or region.Multiple criteria to define the region and pattern of values to be extracted.
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