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An ultimate guide to Modern
Document Processing
What is document processing?
Document processing is the conversion of analog documents into a digital format.
The process begins by scanning the paper and then extracting the data using OCR
technology. Data extraction occurs, followed by the organization into a database
format.
What is intelligent document processing?
In an IDP system, scanned documents route to an intelligent document processing
platform where they undergo data extraction. The data receives validation against
internal rules and external data sources. Once cleansed, data moves to the
appropriate application for storage or further processing.
How does intelligent document processing work?
● Understand and extract the entire structure and layout of your document
● Extract all document information
● Verify the data extracted from your document with high accuracy
● Storage and indexing
Challenges of document processing
Large Scope of documents: Organizations regularly have multiple versions of forms,
contracts, datasheets, and information. Training document processing can take
time.
Poor quality scans: It may be impossible to extract document data with a poor
quality scan. Choosing an AI system could enhance or predict form content
improving retention in scans.
Access rights: Different levels of management access can act as a barrier to
keeping data classified: document processing rules and exceptions to keep data
secure.
Benefits of document processing
Make informed decisions faster: IDP can help you make better decisions by
providing accurate and up-to-date data. IDP can also help you save time by
automating tasks companies do manually.
Being able to monitor changes faster with digital trends: As you make
amendments to procedures in your business or as your business changes, IDP can
give you an overview of how these changes will impact your documents.
Use cases for document processing
There are many uses for document processing for businesses in every industry.
Invoicing: IDP can be used to automatically extract line items from an invoice,
such as the date, description, quantity, and price.
Vendor management: IDP will automatically extract data from vendor contracts
such as contact information, service level agreements, and payment terms.
Human resources: IDP can be used to automatically extract data from employee
communications such as job applications, resumes, and performance reviews.
Learn more about Modern Document Processing
https://nanonets.com/blog/guide-to-modern-document-processing/

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Modern Document Processing | Nanonets Blog.pdf

  • 1. An ultimate guide to Modern Document Processing
  • 2. What is document processing? Document processing is the conversion of analog documents into a digital format. The process begins by scanning the paper and then extracting the data using OCR technology. Data extraction occurs, followed by the organization into a database format.
  • 3. What is intelligent document processing? In an IDP system, scanned documents route to an intelligent document processing platform where they undergo data extraction. The data receives validation against internal rules and external data sources. Once cleansed, data moves to the appropriate application for storage or further processing.
  • 4. How does intelligent document processing work? ● Understand and extract the entire structure and layout of your document ● Extract all document information ● Verify the data extracted from your document with high accuracy ● Storage and indexing
  • 5. Challenges of document processing Large Scope of documents: Organizations regularly have multiple versions of forms, contracts, datasheets, and information. Training document processing can take time. Poor quality scans: It may be impossible to extract document data with a poor quality scan. Choosing an AI system could enhance or predict form content improving retention in scans. Access rights: Different levels of management access can act as a barrier to keeping data classified: document processing rules and exceptions to keep data secure.
  • 6. Benefits of document processing Make informed decisions faster: IDP can help you make better decisions by providing accurate and up-to-date data. IDP can also help you save time by automating tasks companies do manually. Being able to monitor changes faster with digital trends: As you make amendments to procedures in your business or as your business changes, IDP can give you an overview of how these changes will impact your documents.
  • 7. Use cases for document processing There are many uses for document processing for businesses in every industry. Invoicing: IDP can be used to automatically extract line items from an invoice, such as the date, description, quantity, and price. Vendor management: IDP will automatically extract data from vendor contracts such as contact information, service level agreements, and payment terms. Human resources: IDP can be used to automatically extract data from employee communications such as job applications, resumes, and performance reviews.
  • 8. Learn more about Modern Document Processing https://nanonets.com/blog/guide-to-modern-document-processing/