Plot Digitizer Alternatives

LabPlot is a free, open source and cross-platform Data Visualization and Analysis software accessible to everyone and trusted by professionals.

A large quantity of published data is available only in the form of plots and it is often difficult to extract numerical data accurately out of these pictures. There are several softwares available to aid this process, but most are either paid or poorly written.

This open source, digitizing software converts an image file showing a graph or map, into numbers. The image file can come from a scanner, digital camera or screenshot. The numbers can be read on the screen, and written or copied to a spreadsheet.

g3data is used for extracting data from graphs. In publications graphs often are included, but the actual data is missing. g3data makes the extracting process much easier.

PlotDigitizer is data extraction software. It allows users to extract data points from graphs, plots, charts, and scanned documents.

GraphClick is a graph digitizer shareware for Mac OS X which allows to automatically retrieve the original (x,y)-data from the image of a scanned graphor fom QuickTime movies. Free download. Features automatic detection of solid, dashed or dotted lines, bar charts or symbols.

Sometimes it is necessary to extract data values from graphs, e.g. in most scientific publications only plots but no data values are published. DigitizeIt makes it easy to actually get back numbers from such a plot!

UN-SCAN-IT graph digitizer converts scanned graphs to real xy data automatically. Extract xy data values from published graphs, old plots, and strip charts.

jTechDig is a software tool written in Java for digitizing data from an image of graph or plot. jTechDig can import images from .gif, .bmp, .png etc. files. After mapping of the coordinates system the data can be digitized manually by clicking the mouse.

im2graph is a free digitizing software that converts graph-images to graph-data, that is to numbers.

Take any graph or data from any source (Web or PDF document, for example), add your comments, and perform any manipulations, like nonlinear regression or curve fitting. Then print your results or export them to Excel or other database.

Graphs are great for understanding results in reports and papers, but to use those results in your own analysis, you'll want the underlying numerical data. Your analysis will be more flexible because you can easily include all the data from the graph, rather than just a few...