Skip to content

inero-software/docsquality-examples

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DocsQuality

Document Quality Control

doc_categorization.png

DocsQuality allows you to verify document quality before inserting it into a digital repository. The software immediately highlights issues, for example, with email attachments, signaling that the system should not accept the document into the workflow at this stage. DocsQuality allows you to automatically verify the quality of all electronic documents in the entire organization.

Features

DocsQuality assesses factors in real-time such as readability and clarity, as well as detecting issues including:

  • sharpness,
  • exposure,
  • unreadable handwriting,
  • unreadable printed text,
  • shape,
  • OCR index.

OCRIndex is a numerical measure indicating how well OCR (Optical Character Recognition) software can read text from electronic documents, including images or scanned writings. It considers the image quality, particularly font characteristics, and detects document defects such as compression, blurring, contrast, etc. A higher OCRIndex suggests a higher likelihood of accurate character recognition.

ocr_index.png

Categorization

DocsQuality identifies various types of documents, such as invoices, insurance, or transport documents. The application performs text extraction using an advanced OCR text recognition system and then assigns the file to the appropriate category.

DocsQuality will analyze and categorize the following types of documents:

  • invoice
  • CMR consignment note
  • delivery note
  • payment confirmation
  • agreement
  • insurance policy

How to interpret the results?

DocsQuality analyzes a series of attributes, assigning documents a score on a scale from 0 to 100. The results are expressed on a four-point scale.

example-prediction.png

DocsQuality uses advanced analytical business intelligence functions that detect undesirable features in documents. It uses AI and ML methods trained on over 10 000 real business documents.

For more detailed information, visit the DocsQuality website or our YouTube channel.

discover-docsquality