Use Cases

GraphScreen is designed to solve data extraction bottlenecks across specific technical disciplines. Discover how professionals convert static images into actionable datasets.

Academic Research

Meta-analyses require combining datasets from dozens of papers. Often, authors only publish PDF plots, not raw tables. Learn how to reconstruct exact dataframes from historical papers.

Financial Modeling

Extracting historical performance metrics from locked investor presentations or scanned annual reports for quantitative analysis in Excel or Python.

Engineering Specs

Digitizing load curves, torque-speed characteristics, and material stress tests from older manufacturer datasheets to run modern simulations.

Medical Data

Reclaiming patient trendlines from scanned EMR attachments for longitudinal epidemiological studies.