Abstract
Data transfer between applications often requires manual entry when source content is contained within images or non-selectable document formats. Manually populating multiple form fields by switching between applications is inefficient and increases the likelihood of input errors. Existing selection tools are generally limited to single-item lookups or basic text copying, which fails to capture structured relationships between data points.
A method is disclosed for context-aware data extraction and field mapping. A visual selection gesture is used to identify a region of interest on a display. Structured data is extracted from the selection using optical character recognition and semantic analysis. When a paste command is initiated in a destination field, the extracted data is automatically mapped to corresponding fields based on recognized patterns and document structure. This approach facilitates the simultaneous population of multiple fields from a single selection event. Data entry efficiency is improved and the need for repetitive application switching is reduced.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Govindaraju, Raviteja and Sedouram, Ramprasad, "Context-Aware Data Extraction and Transfer via Visual Selection and Intelligent Field Mapping", Technical Disclosure Commons, (February 23, 2026)
https://www.tdcommons.org/dpubs_series/9381