Customer stories | Agriculture | Invoice & Credit notes
Misra Ngonga | September 10, 2023 | 3 mins read
The challenge:
Split documents according to document types scanned in the same batch and remove the unwanted document types.
A folder needs to be created for each document according to the date. The document itself needs to be renamed according to their client number and invoice/credit note numbers.
The solution:
Convert documents to searchable PDF, using Zone OCR to distinguish document types and extract their respective data.
The data extracted from the document are used to create folders per date and rename documents according to client number and invoice/credit note number.
Move other documents to a different folder.
A client in France needed to scan batches of documents containing multiple invoices credit notes and other documents. Each batch contained multiple-paged invoice/credit notes. After scanning, the batch needed to be split up into individual invoices/credit notes.
For each invoice/credit note, the client wanted to create a folder for the invoice/credit note date and save the invoice/credit note to that folder. The invoices/credit notes were to be named according to their individual invoice numbers.
They needed to find a way to also remove documents that were neither invoices nor credit notes but were scanned in the same batch as the invoices and credit notes.
The solution
ZONE OCR and ScannerVision functions (Expressions)
Using ZoneOCR in ScannerVision™, we were able to recognize the fields on the invoices and credit note and extract their respective data.
Using ScannerVision™ functions on the data returned by ZoneOCR we were to precisely extract only the data needed. Thanks to ScannerVision™ functions we didn't have to create multiple zones to capture from the multiple fields. One large Zone was all we needed; the functions determined which information in the zone could be extracted. The functions also allowed us to tell apart invoices from credit notes and other documents.
Benefit of single one large OCR Zone and ScannerVision™ functions to extract the needed data:
ScannerVision™ conditions
ScannerVision's function (expression) is able to detect when a given format or expression is not met and informs the ScannerVision processing engine. Using this information, ScannerVision™ was able to store Invoices and credit notes to the correct storage directory and move documents that were neither invoices nor credit notes to a rejection folder.
Multiple Document processors
Because the client was uploading a large number of documents, we enabled multiple document processors. Each document processor works independently, this enabled ScannerVision™ to process multiple documents simultaneously.
The outcome
ScannerVision™, through the integration of Zone OCR and other functions, provided a comprehensive and adaptive solution for our client's document processing challenges.
Ready to reinvent your workflow? Contact our team.
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