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.
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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.Application of multiple templates according to document model.Templates automatically applied to documents via multiple selection criteria.Tool to manually subdivide a file into document units.An uploaded file is subdivided into individual document units through document splitting parameters. Option to store files in document units.Moreover, automatization implies time savings, reducing tasks that do not add value to your company.Īxional/OCR‘s standout characteristics include:
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This Axional model aims, more specifically, to automatically integrate digitized supplier invoices into the ERP system database.Īs complementary advantages, it is worth mentioning that the automatization process inherent in digitization avoids errors associated with manual data entry, in addition to providing greater data reliability and efficiency in general.
OCR thus provides an efficient information entry system for company databases, making the integration of any structured physical document possible. Likewise, it simplifies information storage and filing, removing the need for access to the physical document in order to examine it in detail. As a general characteristic, this data recognition system is applied using regular expressions of pattern recognition within the text.Īmong other characteristics, Axional/OCR facilitates data entry for various types of documents which serve as the starting point for company-specific business processes. It extracts the text from an image or scanned document to be automatically stored and indexed in a database, among other features. OCR (Optical Character Recognition) is a new and advanced optical recognition technology.
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