AI Graph Reader
About Our Technology & Mission

Engineering-Grade Plot Digitization for Science & Industry

AI Graph Reader was engineered to replace tedious, manual click-and-point software with intelligent computer vision, sub-pixel mathematical accuracy, and an uncompromising commitment to local client-side privacy.

< 0.1%
Coordinate Error Rate
100%
Client-Side Privacy
8+
Coordinate Families
6+
Export Formats

The Problem with Legacy Digitizers

For more than two decades, scientific research and engineering workflows have suffered from an information bottleneck: millions of valuable datasets are locked inside static figures in academic PDF papers, technical patents, scan printouts, and legacy documentation.

Traditional tools like WebPlotDigitizer, Plot Digitizer, or manual desktop utilities require users to manually click hundreds of individual points with a mouse. This process is time-consuming, causes eye fatigue, introduces subjective human placement errors, and cannot handle complex continuous curves, logarithmic grids, or ternary phase equilibria.

AI Graph Reader solves this permanently: Our hybrid architecture pairs machine learning feature detectors with mathematical spline tracers to automatically detect axes, align tick labels, trace continuous curves, and separate overlapping multi-series plots in milliseconds.

Our 4 Core Engineering Principles

01 // PRECISION

Sub-Pixel Interpolation

Using 4x crosshair loupe magnification and sub-pixel edge detection, our algorithms identify coordinate centroids with sub-pixel tolerance, avoiding rounding errors on high-DPI screens.

02 // PRIVACY

Zero-Server Retention

Your confidential research charts, unpublished clinical trials, and proprietary financial filings never leave your local machine. All image crunching runs in client WebAssembly and HTML5 Canvas.

03 // VERSATILITY

Multi-Geometry Support

Full mathematical support for Linear XY, Log-Linear, Log-Log, Polar (r, θ), Ternary phase diagrams (A+B+C=100%), Histograms, Bar Charts, and custom spatial measurement scale bars.

04 // INTEROPERABILITY

Export to Any Pipeline

No vendor lock-in. Instantly export raw numbers to CSV, TSV, Microsoft Excel (.xlsx), structured JSON, Python (Pandas/NumPy code blocks), MATLAB matrices (.m), R scripts, and LaTeX tables.

Built as a Fast, Modern Multi-Page Web Application

AI Graph Reader is structured as a high-performance Astro-powered Multi-Page Application (MPA). This ensures lightning-fast initial load times, zero JavaScript hydration overhead for static content, instant crawler discoverability for all documentation and graph families, and unparalleled stability across desktop, tablet, and mobile devices.

Astro MPA Framework
Fast static HTML delivery with isolated island architecture.
WASM & Canvas 2D
Near-native pixel manipulation and matrix transforms in RAM.
Tailwind CSS v4
Ultra-lightweight design system with seamless dark & light modes.

Ready to Digitize Your Graphs with Sub-Pixel Precision?

Experience the next generation of plot-to-table data conversion. Free, private, and requiring zero software installation.