Business Challenge
Our client, a growing professional services organization, needed an OCR solution that provided a full alphanumeric recognition of printed or handwritten characters at electronic speed by simply scanning documents. Considering the volume of business content that the organization generated or received every day, the processing of complex or unknown formats and highly variable documents were difficult to capture with traditional systems and manual interfaces were time-consuming. Data from applications, forms, reports, office documents, images had to be clearly understood and the information had to be reliably extracted, even from poor-quality digital images and unstructured formats. If the documents were poorly managed, not digitized, or disconnected from critical business processes, it would impact the business’s ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content precisely can significantly improve analytics strategy by gaining insight and business value from dark or unstructured data sources. With over hundreds of document and image files, manual indexing of huge amounts of data had its own challenges, including:
- A tedious and cumbersome process
- Expensive in terms of money and resources
- Involvement of the third party to manually index data
- The probability of errors increased with human intervention
- Customer claim request time increased due to manual work
The Client Requirements
Develop AI-based Optical Character Recognition (OCR) application to perform on PDF/Images for extracting the text (digits) from the defined region of interest(ROI).
