We have a transformer called Generalizer

Generalizer

Transforms or measures geometry features based on a specified algorithm.

There are four types of algorithms:

• Generalizing algorithms: Reduce the density of coordinates by removing vertices.
• Smoothing algorithms: Determine a new location for each vertex.
• Measuring algorithms: Calculate the location of points, and return a list of these points (for example, to measure the sinuosity of a feature).
• Fitting algorithms: Replace the original geometry completely, with a new feature fitted to a specified line (for example, to minimize the orthogonal distance to the original).

read link

https://community.safe.com/s/article/reducing-unnecessary-coordinates

@saravanakumar​ As @f.kemminje​ suggest - Generalizer is the place to start. But depending on the data you want to thin, you might also try CurveFitter or SherbendGeneralizer

Thanks!@Mark Stoakes​ 

Thank @f.kemminje​  and @Mark Stoakes​  for your valuable suggestions. I will use those and try 😀 .