OCR

Optical Character Recognition (OCR)

Is a technology that recognizes text within a Digital Images and Scanned Documents .

Technology can be used to convert a hard copy of a document into an Electronic Version .

Improve OCR Accuracy
  • The overall recognition accuracy can be accomplished only through efficient pre-processing procedures.
  • The recognition of characters in pre-printed document images is a highly challenging task as it desires unique pre-processing methods and it depends on the layout of document .
Deskewing and analyzing page layout
  • This may also be referred to as Rotation .
  • A skewed image is when a page has been Scanned when not straight .
  • This means de-skewing the image to bring it in the right shape .
  • The text should appear horizontal and not tilted in any angle .
Scanning Border Removal
  • Scanned pages often have dark borders around them , These can be erroneously picked up as extra characters , especially if they vary in shape and gradation .
Removing Noise
  • Noise is random variation of brightness or colour in an image , that can make the text of the image more difficult to read .
Scaling Images
  • Ensure that the image are scaled to the right size which usually is of at least 300 DPI (Dots Per Inch).
Removing Horizontal and vertical lines
  • The major challenge involved in removal of the horizontal lines is retention of the pixels overlapped between line and characters in document .

HOW IT WORKS 

Upload image
  • You can upload the image you want to extract data from.
  • We need to make sure your image is not skewed, does not have border or noise.
  • Store the processed image in the database.
View all uploaded images
  • View all the uploaded images, so you can choose one and work on it .
  • you can search for a specific one by name, id and upload date.
Extract Full Text Option 
  • Allows you to Extract full text .
  • Resize the image and then Extract text .
Extract Specific Part Option 
  • Allows you to crop the desired part.
  • resize the desired part.
  • extract data.
Implementation Approach
  • Pre-conceptualized functions, sub-modules
  • Pre-built forms and reports
  • Matured understanding of business needs
  • Robust, effective Hardware architecture
  • Solid, encompassing Network Architecture
  • Futuristic, goal – oriented Solution Architecture
  • Early engagement of key stakeholders
  • Collaborative Teaming
  • Continuous Improvement Program for key users
Get AI OCR as
  • SDK (offline)
  • API (Online)