Windows Legacy (.Net Framework 4.6.1)
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This activity finds similarity between two texts and returns similarity percentage.
Easily handle special characters and accents from a text
Normalize strings for better text matching.
The ultimate goal of these activities is to identify the typography of the sentences in a Word document
Identify color using the Euclidean Distance formula
Calculates the more robust Damerau-Levenshtein distance between two strings. Includes an activity for comparing a string against an array of strings to select the closest match.
Two activities using Google Location API (Google maps) to find distance, duration, and get output response string in XML or JSON between origin and destination address.
The activity accepts two string and returns a similarity percentage in the type System.Single between two strings using Levenshtein Algorithm.
This Google Maps package contains a set of activities to interact with Google Maps API in real time to fetch data of locations, directions, distance, duration, photos, geo coordinates, time zone etc.
With this activity, it is possible to use fuzzy search logic to compare or search in different strings and compare images without the need to implement any code.
This group of custom activities (String Algorithms) serve the purpose of reducing development time for the user intending to implement one or more string matching logics in their project.
This bot finds the pattern of the input string using regular expressions and provides a pattern code and message