Digitise 2D plots and contours by following the procedure:

1. Select image by Browse or drag & drop the image file onto the page. JPG, PNG or GIF formats are accepted.
2. Mark the Analysis area of the 2D plot using the handles on the rectangular selector
3. Place the Colorbar legend with the A-B line handle so it spans across all the colors
   
4. Select 'Colorbar Type' whether the colorbar legend is composed of continuous smooth colors or discrete color intervals
5. In 'Colorbar values (A->B)' type the start and end values of the colorbar legend (example '1,10') corresponding to the A and B markings. Just type A,B for automatic detection of the intervals, however if this fails you may specify all the needed color intervals manually (example '2, 2.5, 3.5, 5, 7, 10')
6. Press 'Generate 2D plot' and the result is shown in grayscale on the chart.
   
7. The resulting 2D array data can be found at the bottom of the page by selecting a suitable JSON or CSV format.

This should normally work for most cases, however it may be needed to optimize the performance using the more advanced settings.

NB. The application is still Beta and under refinement. At the moment the accuracy of the resulting plot may be low, and will require careful manual cross-checks. Any comments and feedback related to the application are highly appreciated!

Colorbar Type:

Indicate type of legend colorbar, having Continous or Discrete colors

Colorbar values (A->B):

Specify Colorbar Legend values e.g. '1,2,3,4,5,6', or type only '1, 6' for auto-detection of (discrete) values

Sample Grid Points, horisontal:

Number of horisontal sample points of the sampling grid area. The sampling pixels are square meaning the vertial dimension will have an aspect ration 1:1. Maximum is 100.

Continuous Colors Tolerance:

Tolerance for matching colors of the Continous colors Colorbar, lower is more accurate but gives more blank pixels

Force Continuous Colors:

If chart has continous colors but the legend colorbas has discrete colors

Continuous colorbar linear segments:

Number of points used for linear interpolation of the Continous colorbar, higher gives better results

Discrete Colors Tolerance:

Tolerance for matching colors of the Discrete Colorbar, lower is more accurate but gives more blank pixels

Patch Pixels, neighbours:

Try fill out singular blank pixels, typical from black lines or text

Patch only pixels where the minimum number of adjacent colored pixels is

Transient search Tolerance:

Tolerance for detecting color seperation lines of the colorbar, lower is more sensitive

Codes for quick saving and loading of the above settings: