q-Board
q-Board
q-Board
q-Board
Automated Loan Boarding
Automated Loan Boarding
Automated Loan Boarding
Automated Loan Boarding
q-Board module integrates computer vision and Machine Learning (ML) to automate the process of updating information from PDF documents directly into the application fields. This streamlines data entry processes, reduce manual errors, and improve overall efficiency.
q-Board module integrates computer vision and Machine Learning (ML) to automate the process of updating information from PDF documents directly into the application fields. This streamlines data entry processes, reduce manual errors, and improve overall efficiency.
q-Board module integrates computer vision and Machine Learning (ML) to automate the process of updating information from PDF documents directly into the application fields. This streamlines data entry processes, reduce manual errors, and improve overall efficiency.
q-Board module integrates computer vision and Machine Learning (ML) to automate the process of updating information from PDF documents directly into the application fields. This streamlines data entry processes, reduce manual errors, and improve overall efficiency.
Scope
Scope
Scope
Scope
Some of the features of this module include
Some of the features of this module include
Identify and select relevant information from PDF documents including the following
Identify and select relevant information from PDF documents including the following
Identify and select relevant information from PDF documents including the following
Identify and select relevant information from PDF documents including the following
First Lien Doc (Deed of Trust)
Second Lien Doc (2nd Deed of Trust)
Allonge to Note
Modification of Mortgage
Equity Line Credit Agreement
Assignment of Mortgage
Promissory Note
Adjustable Rate Note
Success & Entrent Deed
Title Doc
Notice of Foreclose
These documents may change based on client requirement or Loan requirement.
Computer Vision, and advanced form of OCR will read the information and Copy the selected information from the PDF.
Select the corresponding field where to Paste the copied information OCR Technology will Paste the information into the corresponding fields within the application.
Implement manual verification by the processor to ensure accuracy, correcting any spelling mistakes or special characters encountered during the process.
First Lien Doc (Deed of Trust)
Second Lien Doc (2nd Deed of Trust)
Allonge to Note
Modification of Mortgage
Equity Line Credit Agreement
Assignment of Mortgage
Promissory Note
Adjustable Rate Note
Success & Entrent Deed
Title Doc
Notice of Foreclose
These documents may change based on client requirement or Loan requirement.
Computer Vision, and advanced form of OCR will read the information and Copy the selected information from the PDF.
Select the corresponding field where to Paste the copied information OCR Technology will Paste the information into the corresponding fields within the application.
Implement manual verification by the processor to ensure accuracy, correcting any spelling mistakes or special characters encountered during the process.
Functional Requirements
Functional Requirements
Functional Requirements
Functional Requirements
Computer Vision
Computer Vision
Computer Vision
Computer Vision
The module extracts text from PDF documents accurately.
It shall identify and highlight the relevant information within the PDF.
The processor shall have the option to select and confirm the highlighted information for extraction.
The module extracts text from PDF documents accurately.
It shall identify and highlight the relevant information within the PDF.
The processor shall have the option to select and confirm the highlighted information for extraction.
ML Integration
ML Integration
ML Integration
ML Integration
The ML algorithm analyzes the extracted text to identify the appropriate application fields for data entry.
The module automate the process of pasting the extracted information into the corresponding fields within the application.
The ML algorithm analyzes the extracted text to identify the appropriate application fields for data entry.
The module automate the process of pasting the extracted information into the corresponding fields within the application.
Manual Verification
Manual Verification
Manual Verification
Manual Verification
A human in the loop can manually review the extracted information for accuracy.
This ensures greater levels of accuracy
A human in the loop can manually review the extracted information for accuracy.
This ensures greater levels of accuracy
Other
Accuracy
Accuracy
Accuracy
Accuracy
Based on the quality of input documents provided (200+ dpi) highest levels of accuracy have been accomplished.
The manual verification process shall serve as a quality control measure to ensure data accuracy.
Based on the quality of input documents provided (200+ dpi) highest levels of accuracy have been accomplished.
The manual verification process shall serve as a quality control measure to ensure data accuracy.
Performance
Performance
Performance
Performance
The module has minimal latency in processing PDF documents and updating application fields.
The module has minimal latency in processing PDF documents and updating application fields.
User Interface
User Interface
User Interface
User Interface
The user interface is intuitive and user-friendly for both processors and administrators.
The user interface is intuitive and user-friendly for both processors and administrators.
Assumptions and Constraints
Assumptions and Constraints
Assumptions and Constraints
Assumptions and Constraints
Assumptions
Assumptions
Assumptions
Assumptions
The PDF documents provided will be of standard format and layout, facilitating accurate text extraction.
Documents may vary in format and layout, potentially posing challenges for accurate extraction.
The PDF documents provided will be of standard format and layout, facilitating accurate text extraction.
Documents may vary in format and layout, potentially posing challenges for accurate extraction.
Constraints
Constraints
Constraints
Constraints
The system's performance may be affected by the quality and clarity of the PDF documents.
Integration with legacy systems or third-party applications may pose compatibility challenges.
The system's performance may be affected by the quality and clarity of the PDF documents.
Integration with legacy systems or third-party applications may pose compatibility challenges.
Risks and Mitigation
Risks and Mitigation
Risks and Mitigation
Risks and Mitigation
Risks
Risks
Risks
Risks
Inaccurate OCR or ML processing leading to data entry errors.
Insufficient manual verification resulting in overlooked mistakes.
Inaccurate OCR or ML processing leading to data entry errors.
Insufficient manual verification resulting in overlooked mistakes.
Mitigation
Mitigation
Mitigation
Mitigation
Regular testing and validation of OCR and ML algorithms to improve accuracy.
Implementing a robust manual verification process with adequate training for processors.
Regular testing and validation of OCR and ML algorithms to improve accuracy.
Implementing a robust manual verification process with adequate training for processors.
Explore Options With No Cost
Explore Options With No Cost
Explore Options With No Cost
Explore Options With No Cost
111 NE 1st St, 8th Floor
Suite #89123
Miami, FL 33132
(512) 893 7797
sales@acuriq.com
111 NE 1st St, 8th Floor
Suite #89123
Miami, FL 33132
(512) 893 7797
sales@acuriq.com
111 NE 1st St, 8th Floor
Suite #89123
Miami, FL 33132
(512) 893 7797
sales@acuriq.com
111 NE 1st St, 8th Floor
Suite #89123
Miami, FL 33132
(512) 893 7797
sales@acuriq.com
111 NE 1st St, 8th Floor
Suite #89123
Miami, FL 33132
(512) 893 7797
sales@acuriq.com