
Quasar Document AI
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Coforge Quasar Document AI is an accelerator solution for document digitization, content processing and text analysis. It helps in standardizing and structuring large amounts of text data, quickly extracting and converting multiple data formats into a single template determined by user. The solution has the capability to handle handwritten, multiple languages, multiple output verification and other text related analytical requirements.
This works on all kind of document formats including pdf, image pdf's, image files, JSON and any existing formats. Some use cases include Data Extraction, Document Clustering, and Topic extraction, Sentiments, Financial, Legal and Contract files handling adds value and makes data more informative and insightful. All this is underpinned by an intuitive user interface that makes it quick and simple to use. These out-of-the-box features add value and ease the unstructured data journey.
HOW WE TRANSFORM
Service offerings
Extractions
Scanned, Handwritten, Checkboxes, Redaction: Multiple Contract files have been scanned into single pdf over the years. The requirement was to extract contract information from these pdfs. The structure of the contracts is varying in large degree.
Using NLP and ML to extract these contracts and multiple relevant fields including legal clauses were done with nearly 100% of accuracy. The overall solution was built in very less time and involving only 5% manual intervention.
LIBOR Remediation Process Automation
Smart Financial Analyze
Financial services industry operations involve lengthy financial and legal documents such as annual reports, research reports etc. Financial sentiments help us in understanding the industry segment more accurately.
SFA summarizes these documents to make them easier to consume by extracting important features and generating highlights.
Mortgage Underwriting Automation
Extracting important information and segregating documents from a bigger accumulated mortgage document. There are multiple documents bundled together such as forms, balance sheet, Income statement, and purchase & sale agreements.
Fields like Income and down payment confirmations signed confirmations on a form have been extracted.
Investment Restriction Analysis
Brokers submit request for insurance through emails. Each email contains information about the insured along with other information required by underwriters to take a decision.
This information is automatically extracted from email body, attachments and other artifacts.
Extractions
Scanned, Handwritten, Checkboxes, Redaction: Multiple Contract files have been scanned into single pdf over the years. The requirement was to extract contract information from these pdfs. The structure of the contracts is varying in large degree.
Using NLP and ML to extract these contracts and multiple relevant fields including legal clauses were done with nearly 100% of accuracy. The overall solution was built in very less time and involving only 5% manual intervention.
LIBOR Remediation Process Automation
Smart Financial Analyze
Financial services industry operations involve lengthy financial and legal documents such as annual reports, research reports etc. Financial sentiments help us in understanding the industry segment more accurately.
SFA summarizes these documents to make them easier to consume by extracting important features and generating highlights.
Mortgage Underwriting Automation
Extracting important information and segregating documents from a bigger accumulated mortgage document. There are multiple documents bundled together such as forms, balance sheet, Income statement, and purchase & sale agreements.
Fields like Income and down payment confirmations signed confirmations on a form have been extracted.
Investment Restriction Analysis
Brokers submit request for insurance through emails. Each email contains information about the insured along with other information required by underwriters to take a decision.
This information is automatically extracted from email body, attachments and other artifacts.