Contextual OCR Validation Interface for Small-Screen Form Entry
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Solution Overview
Problem
Conventional user interfaces require manual data entry and lack contextual validation of recognized text, leading to inefficiencies, errors, and resource wastage, particularly on devices with small screens.
Innovation Solution
A user interface that presents a digital image of a document portion adjacent to a corresponding field with auto-populated recognized text, allowing users to validate the accuracy without looking away, and utilizes machine learning to streamline the data input process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data entry is required, then data input accuracy can be validated, but user productivity decreases and time is wasted
Solution Approach 1:
The system performs automatic text recognition and population of form fields without requiring manual data entry by the user. The OCR technology automatically extracts text from uploaded documents and populates corresponding fields, making the system self-serve the data entry function while maintaining accuracy through automated validation.
Solution Approach 2:
The patent replaces the mechanical manual data entry process with an automated optical character recognition (OCR) system. The mechanical action of manually typing data is substituted with an automated image processing and text recognition system that extracts and populates data automatically.
2Measurement precision
If users look at paper documents to validate entered text, then validation accuracy improves, but user convenience deteriorates due to needing to switch between documents and screen
Solution Approach 1:
The patent merges the document image and the data entry form into a single unified user interface view. The recognized text from the document is displayed alongside the form fields in a split-screen or integrated layout, allowing users to validate data accuracy by viewing both the source document and entered data simultaneously without switching between physical documents and the screen.
Solution Approach 2:
The patent transitions from a sequential validation process (looking at document, then screen, then back to document) to a simultaneous multi-dimensional view where the document image and form fields are presented together in the same visual space, enabling parallel comparison and validation.
3Adaptability or versatility
If manual data entry is performed, then data can be entered flexibly, but errors increase and resources are wasted
Solution Approach 1:
The system provides immediate feedback by displaying the recognized text next to the corresponding form fields, allowing users to verify accuracy in real-time. The system also validates the extracted data against expected formats and patterns, providing automated error detection and correction feedback to reduce mistakes.
Solution Approach 2:
The system performs preliminary data extraction and validation before final submission. The OCR process pre-processes the document data, automatically populates fields with high-confidence matches, and performs initial validation checks to prevent errors before the user finalizes the data entry.
Data Source
AI summary
Implementing a user interface for contextual validation of recognized text is described. A server may receive image data representing a document, determine, based at least in part on the image data, a type of the document, recognize a text element included in a portion of the document, and determine a point in a data validation process that is associated with the type of the document and/or determine an electronic form that is associated with the type of the document. The server may further cause a user interface to be displayed via an application executing on an electronic device, wherein the user interface presents: (i) an image of the portion of the document adjacent to a field populated with the text element; and (ii) at least one interactive element that, upon selection, indicates that a user of the electronic device validates the text element within the field.