String Similarity Algorithms (Matching Percentage)

by Internal Labs

<100

UiPath workflow for Jaro String Matching calculates similarity between strings, aiding in deduplication, record linkage, fuzzy matching, and automation. Scalable, reusable, and ideal for data accuracy

by Adharsh Chandran J S

420

Cosine similarity is a metric used to determine how similar the documents are irrespective of their size

by Feat Systems Inc.

1k

Activity which helps in matching words similar to pronunciations

by Internal Labs

<100

Calculates string similarity using insertions, deletions, substitutions, and transpositions. Ideal for RPA typo-tolerant matching in data validation and sorting.

by Patrick Flöß

<100

Calculate the similarity of strings, e.g. Aa / Ab = 50%.

by Amar Srivastava

2.9k

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.

by Novigo Solutions

813

This is an UiPath Custom Activitiy built using String Similarity .NET, a library implementing different string similarity and distance measures

by Elif Karaoglu

346

This activity finds similarity between two texts and returns similarity percentage.

by Roboyo

56.3k

With this activity, it is possible to use fuzzy search logic without the need to implement any code.

by Office Samurai

<100

This package provides a variety of string comparison methods based on multiple algorithms.

by Roboyo

105

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.

by Internal Labs

<100

Levenshtein Distance calculates the minimum edits (insertions, deletions, substitutions) to transform one string into another. Used in spell check, fuzzy search; runs in 𝑂 ( 𝑛 × 𝑚 ) O(n×m) time.

by Internal Labs

<100

UiPath workflow for Jaro String Matching calculates similarity between strings, aiding in deduplication, record linkage, fuzzy matching, and automation. Scalable, reusable, and ideal for data accuracy

by Adharsh Chandran J S

420

Cosine similarity is a metric used to determine how similar the documents are irrespective of their size

by Feat Systems Inc.

1k

Activity which helps in matching words similar to pronunciations

by Internal Labs

<100

Calculates string similarity using insertions, deletions, substitutions, and transpositions. Ideal for RPA typo-tolerant matching in data validation and sorting.