About GraphScreen

GraphScreen was built because we were tired of losing data to the PDF format.

The Problem

Every day, millions of datasets are published as flat images—JPEGs in presentations, PNGs in blog posts, and rasterized plots in academic PDFs. The original tabular data is lost, making independent verification, meta-analysis, and derivative modeling impossible without tedious, error-prone manual transcription.

Our Philosophy

• Deterministic Over Generative: In an era of AI, we explicitly avoid using LLMs for data extraction. Vision models hallucinate numbers. When dealing with scientific or financial data, 99% accuracy is 0% useful. We rely on deterministic geometry and user calibration.
• Local First: Your proprietary data shouldn't be sent to a server just to run simple math. Our tools run purely in the browser.
• Web Native: No desktop installs. If you have a browser, you can extract data.