FindGraph is comprehensive graphing, curve fitting, and digitizing tool. The program offers 10 generic fits, including linear regression, logistic functions, fourier approximation, neural networks, plus a library of over 120 industry-specific 2D formulas.

Built-in Wizard helps applying different curve fits to discover the model that describes data the best. The software enables to smooth, interpolate, subtract, differentiate, integrate, and transform data and curves.

The program comes with 200 built-in common graphing 2D functions support for polar, cartesian, and parametric equations. Built-in Wizard helps to digitize the data. The program supports OLE automation and can be built-in to other software applications. content

Are you an engineer, scientist or graduate student looking for a graphing tool that will allow you to quickly analyze graphed data without having to immerse yourself into calculus and statistics books? 

Sometimes it is necessary to compare the data obtained from independent sources  to modern data. Typically input data sources are line graphs or scatter diagrams from Internet pages, text files, Excel tables or personal raw data. You want the ability to remove false points and add desirable points interactively.

Use FindGraph.  It's quick and easy! FindGraph is a comprehensive, feature-rich graphing, digitizing and curve fitting software specially created for these purposes. 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.

FindGraph  is COM server. This means, that plot can be copied and pasted (embedded) directly into word processors, Excel or drawing programs. The program supports OLE automation and can be built-in to user software. Examples (MS VB, MS VC++) are included. Methods and properties are documented. You can see chart and digitized data points. Then we build approximation line and apply SSA to reconstruct and to forecast data series.