Documentation

Get up and running in 5 minutes.

Quickstart

This guide walks you through digitizing your first contour plot in under five minutes. By the end, you'll have extracted scalar values from a screenshot and exported them as a CSV.

Before you start: Have a contour plot screenshot ready (PNG or JPG). If you don't have one, grab a sample ANSYS or Abaqus screenshot from the web.

1. Upload an image

Open the app, then drag your screenshot into the upload zone — or click Choose file. The app accepts PNG and JPG. Your image is processed entirely in the browser and never uploaded to a server.

↑ upload zone screenshot

2. Confirm the legend

Click Define Legend in the Legend panel, then draw a box around the color bar in your image. The app detects discrete bands automatically. Accept or reject the detected bands, then set the Min/Max values and units.

If detection misses bands, try redrawing the box more tightly around the color bar, excluding label text above and below it.

3. Pick a sampling tool

Use the toolstrip above the image, or press 1/2/3/4:

1Point — click to log a value

2Line — drag to draw a 1-D probe

3Region — drag a rectangle for stats

4Hover — live readout, no clicks used

Tip: Hold ctrl to activate the hover tool.

4. Export your data

When you've sampled enough points, click Export in the sampled points window (or Ctrl+E) to open the export dialog. Choose your file type CSV, XLSX or TXT, set decimal precision, and download.

Tip: For a quicker export, try Copy as CSV.

n,value,units
1,0.00797,psi
2,0.03522,psi
3,0.09718,psi
4,0.19950,psi

What's next

That's it — you've digitized your first plot. From here, dive into:

Image quality tips — how preprocessing affects accuracy
Band assumption — upper bound, average, or lower bound snapping
Keyboard shortcuts — full reference