Document Comparison Server Normalizing Formats
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Solution Overview
Problem
Conventional systems for document search, review, comparison, and merging are limited in scope and functionality, requiring significant manual interaction and being unable to efficiently compare or merge documents across different formats and platforms, especially when changes or differences need to be tracked and managed across multiple versions.
Innovation Solution
A system that enables the selection, parsing, and comparison of multiple files, allowing for the generation of new files based on differences, with features like selective search-and-replace and the ability to view, accept, or reject changes directly within the system, facilitating efficient review and modification of documents across various formats and platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional native applications are used to compare documents, then document comparison can be performed, but the system is limited to documents of the same format and requires manual one-on-one comparisons
Solution Approach 1:
The patent introduces a comparison server as an intermediary that receives documents from multiple clients, normalizes them to a common format, and performs comparisons. This mediator handles format conversion and coordination, allowing documents in different formats (Word, PDF, HTML, etc.) to be compared without requiring each client application to support all formats directly.
Solution Approach 2:
The comparison server provides universal functionality by supporting multiple document formats and enabling multiple documents to be compared simultaneously. Instead of requiring separate native applications for each format, a single universal system handles diverse document types and performs batch comparisons across multiple versions.
2Measurement precision
If manual document comparison is performed using native applications, then changes can be reviewed, but significant manual interaction and time are required
Solution Approach 1:
The system performs preliminary normalization of all documents to a common format before comparison begins. This pre-processing step converts all input documents (regardless of original format) into a standardized representation, enabling efficient automated diff analysis without requiring manual format conversion during the comparison process.
Solution Approach 2:
The patent replaces manual mechanical comparison processes with automated computational algorithms. Instead of users manually opening and comparing documents sequentially, the system uses automated diff algorithms to detect changes, track modifications, and generate comparison reports, significantly reducing time while maintaining precision.
3Ease of operation
If documents are propagated across multiple platforms and formats, then document accessibility is improved, but tracking and managing changes becomes difficult
Solution Approach 1:
The system implements feedback mechanisms where the comparison server continuously monitors document versions, detects changes, and provides feedback to clients about modifications. This includes notifying users of changes, highlighting differences, and maintaining a record of the document evolution, ensuring change tracking information is preserved despite propagation across multiple platforms and formats.
Data Source
AI summary
Review, comparison, modification, and/or merging of multiple sources of data associated with media content are facilitated. Multiple documents can be simultaneously reviewed with a base document, and the changes or differences associated therewith can be flexibly reviewed, compared, accepted, and/or rejected to efficiently generate a new document having the changes or differences merged. Documents can be reviewed compared, modified, and/or merged based on sections of the base document. Efficient and selective search-and-replace of data associated with media content in files of various data sources or locations is thus enabled for a wide array of document tasks.