Optical Charachter Recognition (OCR) Solution
OCR is built on multiple proprietary algorithms, including those to conduct natural language processing (NLP) � in other words, it is able to read and derive meaning from sentences written in the natural English language. In a summarized way, it:
Digital Transformation with OCR :
  • Interprets the structural aspects of documents
  • Interprets the document types based on industry classifications
  • Interprets the English text lexicon and grammar
  • Interprets text meta information (e.g., text styles, fonts, font sizes)
  • Recognizes data uniqueness (e.g., names, dates, numbers)
With OCR, each of the above proprietary algorithm sets are orchestrated to work together producing extremely fast setup times, and unparalleled extraction results.
Business Benefits:
Process Steps:
1. Pre-Processing
The process begins by taking scanned images of paper documents (such as TIFs or PDFs) and converting them into "searchable electronic documents" - like a Microsoft Word document or something similar. The documents are converted from images to searchable documents through an optical character recognition ("OCR") process. Then we move to the training process.
2. System Training
The training process involves teaching OCR what data elements to extract. Much like a human is trained, so too is the training of OCR- you teach it by highlighting what you are after. People familiar with the documents and data elements conduct this highlighting exercise across a relatively small subset of example documents. There is no coding or specialized technical knowledge required of any sort; OCR only requires that we identify the data elements we are after. Once this is done, an initial model is created, and we move to conducting test runs...
3. Test Runs
Test runs simply involve sending a first set of documents through the system to ensure the desired results are achieved. If data elements are not picked up, the system is retrained on a subset of example documents - exactly the same way it was trained the first time. Once the model is generating the desired results, production runs begin ...
4. Productions Runs
Because of the underlying software architecture, OCR has virtually unlimited processing capabilities - if required, it can process millions of documents per hour. Once extracted, the data can be exported..
4. Productions Results
OCR is able to export the data in a variety of formats. Given its robust integration capabilities, OCR also easily integrates within our clients' enterprise application architecture space.