Unlock the full potential of your automation projects today and revolutionize the way you handle string manipulation tasks.

String Manipulation

We are a dynamic team and our passion is to successfully implement modern solutions and technologies for companies. What are the trends that will cause future change by digitising the world of work and business? We want to play an active part when it comes to shaping the digitisation and the workplace of the future. We collaborate with various experienced and internationally acclaimed software vendors with whom as implementation partner we help you to get the most out for your business. Therefore we work with technologies in the field of Robotic Process Automation (RPA) on personal robot assistants (PRA) and Artificial Inteligence (AI).

8ab03c2e-4218-40cd-a397-38cf16a5b92a.png

f4c01edf-8d77-43ab-bfd5-8f63dc70a443.jpeg

Head of Delivery Germany

52cb5093-db20-4282-a396-9cba196cb6b3.nupkg

d76f2470-e7a5-42bb-b124-5a46b4566e99.jpeg

**Fuzzy string searching** is a term that describes a technique of finding strings that approximately match a pattern. This is widely used when comparing names or other data that might not be otherwise matchable. These activities will be of great use for searching double entries in a CRM or matching suppliers' names in an OCR case.

  

With the added ability to compare images, this makes a complete package for all your needs for comparing and searching in almost all project situations.

  

All dependencies are bundled within the package!

  

This activity provides the following functionalities:

*   **GetJaroWinklerDistance**: String metric measuring an edit distance between two sequences which means how many characters would need to be edited to match two strings.
*   **GetLevenshteinDistance**: The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions, or substitutions) required to change one word into the other.
*   **GetNGramDistance**: Represents the sum of absolute differences of occurrences of n-gram vectors between two strings. This means you can use different sizes (1 - n) to compare strings which can be used for also larger text comparisons for example.
*   **LuceneSearchString**: Uses an array of strings to search for Keywords guided by the Lucene query language which can use fuzzy, wildcard, regular expression, and RegEx matching.
*   **Image Comparison**: This activity will compare two images and will create an image that will show the differences which can be used for example to compare screenshots for activities vs. error screenshots

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.

Roboyo - Advanced Fuzzy Logic