Automated Click-Thru Data Extraction from Electronic Documents
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Solution Overview
Problem
Current methods for extracting and auditing financial data from complex electronic documents like PDF and HTML files are manual, error-prone, and lack 'click-thru' functionality, making it difficult to trace the origin of data and leading to potential financial misinterpretations.
Innovation Solution
An automated system that identifies and maps coordinates of select images within documents, allowing for the creation of unique pointers and deconstruction of images into subunits for efficient data extraction and auditing, enabling 'click-thru' capabilities to trace data origins within electronic documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data extraction methods are used from electronic documents, then data can be collected from various sources, but the process is error-prone and time-consuming
Solution Approach 1:
The patent replaces manual mechanical data extraction processes with automated computer-implemented methods. The system automatically identifies, extracts, and validates data from electronic documents using software algorithms, eliminating manual typing and cut-and-paste operations. This substitution dramatically reduces both time consumption and error rates in data collection.
Solution Approach 2:
The system enables self-service data extraction by allowing the computer to automatically perform data collection, validation, and organization tasks without human intervention. The automated processes include identifying data sources, extracting relevant information, validating data integrity, and organizing results, thereby freeing users from repetitive administrative tasks.
2Ease of manufacture
If traditional cut-and-paste operations are used for data transfer, then data can be moved between documents, but errors occur due to incomplete copying
Solution Approach 1:
The patent replaces traditional cut-and-paste mechanical operations with automated data extraction and transfer processes. The system uses software to identify, extract, and transfer data between documents, ensuring complete and accurate copying. This automated approach eliminates the errors associated with manual selection and copying while maintaining operational simplicity.
Solution Approach 2:
The system incorporates validation mechanisms that provide feedback during data extraction and transfer processes. The automated methods verify data integrity, check for completeness, and validate accuracy before finalizing transfers. This feedback loop ensures reliable data copying while maintaining ease of operation through automated error detection and correction.
3Loss of information
If financial reports are made complex with detailed information, then completeness of data is improved, but readability and quick understanding deteriorate
Solution Approach 1:
The patent applies segmentation by dividing complex financial reports into structured, organized sections. The system automatically extracts and categorizes data into logical groups, creating a hierarchical structure that maintains information completeness while improving readability. This segmentation allows users to navigate and understand detailed financial information more efficiently.
Solution Approach 2:
The system applies local quality by providing different levels of detail in different sections of the report. Important or frequently accessed information is presented in simplified formats, while comprehensive detailed data remains available for those who need it. This approach maintains overall information completeness while enhancing ease of understanding for different user needs.
4Productivity
If data is manually transcribed from source documents, then data can be compiled into summaries, but transcription errors inevitably occur
Solution Approach 1:
The patent replaces manual transcription processes with automated computer-implemented data extraction and compilation methods. The system automatically captures data from source documents, transfers it to summary formats, and validates accuracy throughout the process. This substitution maintains high productivity while eliminating transcription errors associated with manual data entry.
Solution Approach 2:
The system maintains continuous automated data extraction and validation processes, eliminating the intermittent manual transcription workflow. The automated methods continuously monitor, extract, and validate data throughout the compilation process, ensuring consistent accuracy and maintaining productivity without the errors that occur in manual stop-start transcription operations.
Data Source
AI summary
Methods and systems for capturing, collecting, analyzing and auditing of electronic documents. In an embodiment, there is provided the ability to present an audit function or “click thru” capability with respect to image files, non-structured text, non-structured html, and pdf document.