Remove Correspondent Remove Multi-Currency Remove XML
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What is an invoice reader and how to use it?

Nanonets

doc), HTML XML Data PDF EDI (EDIFACT) and CSV. The OCR engine splits the document into physical “zones” that could correspond to a particular field.  The extraction of text from complex data fields, such as multi-line postal addresses is also challenging. Excel), tables in word processors such as Word (.doc),

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How to Use AI in Bank Statement Processing

Nanonets

For instance, if the bank statement shows a $1,000 deposit on a specific date, it matches the corresponding entry in the accounting records.   Limiting access to only authorized personnel, implementing Multi-Factor Authentication (MFA), and employing data masking techniques reduce the risk of data breaches. 

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How to automate data extraction in healthcare: A quick guide

Nanonets

Handling unstructured data Much of healthcare data is unstructured, including physician notes, patient narratives, administrative correspondence, and imaging reports. These models can process multi-page documents, lengthy tables, and various EHR/EMR formats as well as billing systems and administrative platforms with ease.